School agent Jobs

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for skilled Bot Developers (WhatsApp Business API, Telegram Bot API, Discord API) to join the Tendem project (https://tendem.<br>ai/) and build conversational bots and messaging-platform integrations within our hybrid AI + human environment.<br> In this role, as an AI Pilot – that's how we refer to this position at Mindrift – you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide bot engineering expertise, conversational design judgment, and quality control to ensure bots are reliable, useful, and ready for real users.<br> This part-time remote opportunity is ideal for professionals with hands-on experience building messaging bots, working with platform APIs and webhooks, and implementing conversational logic.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> About the Role This is a freelance role for a Tendem project.<br> As a Bot Developer, you'll design, build, and refine messaging bots for one or more messaging platforms, including WhatsApp, Telegram, Discord, Slack, and similar platforms — for use cases such as customer service, appointment booking, order taking, content delivery, moderation, and automated notifications.<br> Key Responsibilities Build bots for one or more messaging platforms, such as WhatsApp (Business API / Cloud API), Telegram (Bot API), Discord, Slack and similar messaging platforms.<br> Design and implement conversational flows, dialogue state, and fallback handling.<br> Integrate bots with LLMs (OpenAI, Anthropic, or similar) for natural language responses where appropriate.<br> Connect bots to backend services, databases, CRMs, and third-party APIs (booking systems, payment, content sources).<br> Handle webhooks, rate limits, and platform-specific message formats (interactive messages, buttons, media, templates).<br> Evaluate AI-generated bot code and refactor it for correctness, reliability, and graceful error handling.<br> Implement logging, monitoring, and recovery so bots stay healthy in production.<br> Requirements and benefits Educational qualifications At least 3 years of relevant experience backend, integration, automation, or bot development experience (required).<br> Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong foundation in bot development, messaging platform integrations, and building reliable conversational workflows.<br> We are looking for specialists who can design and maintain production-ready bots, work confidently with APIs, webhooks, and backend services, and refine AI-assisted output into stable, user-friendly experiences.<br> Strong problem-solving skills, attention to detail, and the ability to work independently are essential.<br> Technical Skills (Essential) At least 1 year of hands-on experience building bots for at least one major messaging platforms (WhatsApp, Telegram, Discord, Slack, or similar) is required Strong command of Python or Node.<br>js for backend bot logic.<br> Solid experience with REST APIs, webhooks, OAuth, and async request handling.<br> Experience with relational or NoSQL databases for storing conversation state and user data.<br> Familiarity with LLM APIs (OpenAI, Anthropic) and prompt design for conversational use is a strong plus.<br> Understanding of platform-specific limits, message templates, and approval flows (e.<br>g., WhatsApp template messages).<br> Experience with hosting and deployment (Docker, serverless, VPS, or PaaS) Additional requirements Strong attention to detail and commitment to bot reliability — no silent failures, no broken flows.<br> Self-directed work ethic with the ability to design and ship complete bots independently.<br> Portfolio or examples of bots you've built (required).<br> English proficiency: Upper-intermediate (B2) or above (required).<br> Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for skilled Mobile App Developers (React Native, Flutter, Swift, or Kotlin) to join the Tendem project (https://tendem.<br>ai/) and build native and cross-platform mobile applications within our hybrid AI + human environment.<br> In this role, as an AI Pilot – that's how we refer to this position at Mindrift – you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide mobile engineering expertise, platform-specific judgment, and quality control to ensure apps are stable, performant, and ready for real users on real devices.<br> This part-time remote opportunity is ideal for professionals with hands-on experience shipping iOS and/or Android apps, working with platform APIs, and handling the full mobile development lifecycle.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> About the Role This is a freelance role for a Tendem project.<br> As a Mobile App Developer, you'll design, build, and refine mobile applications across categories such as utilities, fitness/wellness, games, productivity, delivery, and content apps — for iOS, Android, or both, using native or cross-platform frameworks.<br> Key Responsibilities Build mobile applications using React Native, Flutter, Swift (iOS), or Kotlin (Android).<br> Implement responsive mobile UIs that follow platform conventions (iOS HIG, Material Design).<br> Integrate native device features (camera, push notifications, location, storage, biometrics).<br> Connect apps to backend APIs, handle offline state, caching, and synchronization.<br> Implement monetization features where required (in-app purchases, ads, subscriptions).<br> Evaluate AI-generated mobile code and refactor it for correctness, performance, battery use, and maintainability.<br> Debug platform-specific issues and prepare builds for distribution (TestFlight, Play Console).<br> Requirements and benefits At least 3 years of relevant experience in mobile app development (required).<br> Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus.<br> Candidates should have a strong foundation in mobile application development, platform-specific UI/UX patterns, and building stable, high-quality mobile experiences for iOS and Android.<br> We are looking for specialists who can confidently work with native or cross-platform frameworks, integrate device APIs and backend services, and refine AI-assisted output into production-ready mobile applications.<br> Strong attention to detail, performance awareness, and the ability to work independently are essential.<br> Hands-on experience with at least one of: React Native, Flutter, Swift/SwiftUI (iOS), or Kotlin/Jetpack Compose (Android).<br> Solid understanding of mobile UI patterns, navigation, state management, and platform guidelines.<br> Experience integrating REST APIs, handling async data, and managing local storage.<br> Familiarity with native device APIs (notifications, camera, location, storage, biometrics).<br> Experience with mobile build tools, code signing, and submission to App Store / Google Play.<br> Experience implementing in-app purchases, ads, or subscriptions is a plus.<br> Familiarity with backend services such as Firebase, Supabase, or similar is a plus.<br> Strong attention to detail and commitment to performance, stability, and platform polish.<br> Self-directed work ethic with the ability to ship complete mobile features independently.<br> Portfolio of shipped mobile apps (required, with App Store / Google Play links preferred).<br> English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for skilled Bot Developers (WhatsApp Business API, Telegram Bot API, Discord API) to join the Tendem project (https://tendem.<br>ai/) and build conversational bots and messaging-platform integrations within our hybrid AI + human environment.<br> In this role, as an AI Pilot – that's how we refer to this position at Mindrift – you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide bot engineering expertise, conversational design judgment, and quality control to ensure bots are reliable, useful, and ready for real users.<br> This part-time remote opportunity is ideal for professionals with hands-on experience building messaging bots, working with platform APIs and webhooks, and implementing conversational logic.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> About the Role This is a freelance role for a Tendem project.<br> As a Bot Developer, you'll design, build, and refine messaging bots across WhatsApp, Telegram, Discord, and similar platforms — for use cases such as customer service, appointment booking, order taking, content delivery, moderation, and automated notifications.<br> Key Responsibilities Build bots for WhatsApp (Business API / Cloud API), Telegram (Bot API), Discord, and similar messaging platforms.<br> Design and implement conversational flows, dialogue state, and fallback handling.<br> Integrate bots with LLMs (OpenAI, Anthropic, or similar) for natural language responses where appropriate.<br> Connect bots to backend services, databases, CRMs, and third-party APIs (booking systems, payment, content sources).<br> Handle webhooks, rate limits, and platform-specific message formats (interactive messages, buttons, media, templates).<br> Evaluate AI-generated bot code and refactor it for correctness, reliability, and graceful error handling.<br> Implement logging, monitoring, and recovery so bots stay healthy in production.<br> Requirements and benefits Educational qualifications At least 3 years of relevant experience backend, integration, automation, or bot development experience (required).<br> Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong foundation in bot development, messaging platform integrations, and building reliable conversational workflows.<br> We are looking for specialists who can design and maintain production-ready bots, work confidently with APIs, webhooks, and backend services, and refine AI-assisted output into stable, user-friendly experiences.<br> Strong problem-solving skills, attention to detail, and the ability to work independently are essential.<br> Technical Skills (Essential) At least 1 year of hands-on experience building bots for major messaging platforms (WhatsApp, Telegram, Discord, Slack, or similar) is required Strong command of Python or Node.<br>js for backend bot logic.<br> Solid experience with REST APIs, webhooks, OAuth, and async request handling.<br> Experience with relational or NoSQL databases for storing conversation state and user data.<br> Familiarity with LLM APIs (OpenAI, Anthropic) and prompt design for conversational use is a strong plus.<br> Understanding of platform-specific limits, message templates, and approval flows (e.<br>g., WhatsApp template messages).<br> Experience with hosting and deployment (Docker, serverless, VPS, or PaaS) Additional requirements Strong attention to detail and commitment to bot reliability — no silent failures, no broken flows.<br> Self-directed work ethic with the ability to design and ship complete bots independently.<br> Portfolio or examples of bots you've built (required).<br> English proficiency: Upper-intermediate (B2) or above (required).<br> Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Position Summary</p><p>The Head – AI Training &amp; Curriculum will lead the design, development, and delivery of Generative</p><p>AI learning solutions for schools, corporate organizations, universities, government entities, and</p><p>professionals.</p><p>This role combines strategic leadership with hands-on delivery. You will oversee curriculum</p><p>development, training delivery, trainer recruitment and development, quality assurance, and clientspecific</p><p>learning solutions while ensuring every programme reflects the high standards of E.A.S.E</p><p>AI.</p><p><br></p><p>&nbsp;Key Responsibilities</p><p>Training Leadership</p><p>• Lead the successful delivery of Generative AI training programmes for schools, corporates,</p><p>universities, government organizations, and professional learners.</p><p>&nbsp;• Deliver engaging onsite workshops, certification programmes, seminars, and executive</p><p>learning sessions.</p><p>• Travel within Bahrain and internationally to conduct training programmes whenever</p><p>required.</p><p>Curriculum &amp; Programme Development</p><p>• Design customized AI courses and learning pathways based on client requirements and</p><p>organizational objectives.</p><p>• Develop and continuously improve training materials, practical exercises, assessments,</p><p>case studies, and learner resources.</p><p>• Ensure all programmes remain current with the latest developments in Generative AI</p><p>technologies and industry’s best practices.</p><p>Trainer Development &amp; Quality Assurance</p><p>• Identify, interview, recruit, and onboard AI trainers as the organisation grows.</p><p>• Train, mentor, coach, and evaluate trainers to ensure consistent delivery standards.</p><p>• Establish teaching methodologies, quality benchmarks, trainer guidelines, and</p><p>performance evaluation systems.</p><p>• Monitor trainer performance and implement continuous improvement initiatives.</p><p>Business &amp; Client Engagement</p><p>• Work closely with the Business Development team to understand client needs and propose</p><p>appropriate learning solutions.</p><p>• Participate in client meetings, demonstrations, workshops, and strategic presentations</p><p>whenever required.</p><p>• Build long-term relationships with educational institutions, corporate clients, and strategic</p><p>partners.</p><p>Innovation &amp; Growth</p><p>• Continuously research emerging AI tools and technologies and recommend their</p><p>integration into E.A.S.E AI programmes.</p><p>• Contribute to the growth strategy of the AI division by identifying new training opportunities,</p><p>products, and services.</p><p>• Represent E.A.S.E AI as a thought leader and ambassador for AI education.</p><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>Qualifications &amp; Experience</p><p>We are looking for an individual who combines a passion for education with a strong understanding</p><p>of Generative AI.</p><p>Experience</p><p>• Minimum 5 years of experience in training, learning &amp; development, instructional design, or</p><p>educational leadership.</p><p>• Experience delivering workshops, corporate training, or professional development</p><p>programmes.</p><p>• Hands-on experience using Generative AI tools in professional or educational</p><p>environments.</p><p>• Experience designing learning programmes or curricula is highly desirable.</p><p>• Previous experience leading or mentoring training teams will be an advantage.</p></div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Key Responsibilities</b></p><ul><li>Deliver engaging Generative AI training sessions for schools, corporates, universities, and government organizations.</li><li>Conduct onsite workshops, certification programmes, and hands-on learning sessions.</li><li>Support the development and enhancement of AI training materials, practical exercises, and assessments.</li><li>Guide learners in using AI tools effectively and promote best practices.</li><li>Provide feedback to improve course content and learner experience.</li><li>Stay up to date with the latest AI tools and technologies.</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b>Requirements</b></p><ul><li><b><span></span></b>Bachelor's degree in Computer Science, AI, IT, Education, or a related field.</li><li>2–5 years of experience in training, teaching, L&amp;D, or instructional delivery.</li><li>Hands-on experience with Generative AI tools such as ChatGPT, Claude, Gemini, Microsoft Copilot, Perplexity, or NotebookLM.</li><li>Strong presentation, communication, and facilitation skills.</li><li>Passion for AI education and continuous learning.</li><li><b>Preferred</b>Experience delivering corporate training or professional development programmes.</li><li>AI certifications are an added advantage.</li><li>Willingness to travel within Bahrain for training delivery.</li></ul><p><br></p></div>

<p><h4>Description</h4> <p>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.</p> <p>Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.</p> <p>We are launching a management consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.</p> <p>You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.</p> <p><strong>Important:</strong> This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.</p> <p><strong>Eligible firms:</strong> McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).</p> <h4>Who we’re looking for</h4> <p>Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:</p> <ul> <li>Structuring ambiguous client problems into workable analytical plans</li> <li>Building financial models, market analyses, or synthesized findings from messy inputs</li> <li>Producing client-ready deliverables under time pressure</li> <li>Forming and defending recommendations under uncertainty</li> </ul> <p>No deep technical background is required — we will onboard you on the lightweight tools involved.</p> <h4>What you’ll do</h4> <ul> <li>Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.</li> <li>Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.</li> <li>Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.</li> </ul> <p>This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.</p> <h4>Skills & requirements</h4> <ul> <li>3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&</li> <li>Strong structured problem-solving and hypothesis-driven thinking</li> <li>Ability to translate vague problems into clear analytical steps and deliverables</li> <li>High attention to logical consistency and output quality</li> <li>Independent, self-directed working style</li> <li>Clear written English (B2+)</li> </ul> <h4>Compensation</h4> <p>On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Toloka AI supports frontier model post-training</h4> <p>By building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.</p> <p>Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.</p> <p>We are launching a management consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.</p> <p>You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.</p> <p><strong>Important:</strong> This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.</p> <p><strong>Eligible firms:</strong> McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).</p> <h4>Who we’re looking for</h4> <p>Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:</p> <ul> <li>Structuring ambiguous client problems into workable analytical plans</li> <li>Building financial models, market analyses, or synthesized findings from messy inputs</li> <li>Producing client-ready deliverables under time pressure</li> <li>Forming and defending recommendations under uncertainty</li> </ul> <p>No deep technical background is required — we will onboard you on the lightweight tools involved.</p> <h4>What you’ll do</h4> <ul> <li>Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.</li> <li>Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.</li> <li>Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.</li> </ul> <p>This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.</p> <h4>Skills & requirements</h4> <ul> <li>3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&</li> <li>Strong structured problem-solving and hypothesis-driven thinking</li> <li>Ability to translate vague problems into clear analytical steps and deliverables</li> <li>High attention to logical consistency and output quality</li> <li>Independent, self-directed working style</li> <li>Clear written English (B2+)</li> </ul> <h4>Compensation</h4> <p>On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span><span><strong>Project Context and Scope:&nbsp;</strong>The consultant will contribute to the training and capacity building needs of the project entitled “Supporting Regional Centre of Excellence for Combatting Trafficking in Persons &nbsp;in the Kingdom of Bahrain Phase II” (RCTIP II/<strong>2)</strong></span><i><span>. </span></i></span><span><span>The objective of this project is to support the efforts of the Government of Bahrain to combat trafficking in persons (TiP) and strengthen technical capacity and regional cooperation in the Middle East and North Africa, in alignment with international standards.&nbsp;</span></span><span><span>The Kingdom also inaugurated a Regional Centre of Excellence and Capacity Building for Combatting Trafficking in Persons (now called RCTiP) in 2021. The International Organization for Migration (IOM) and Labour Market Regulatory Authority (LMRA) have been the lead implementers of this project. Training curriculum and Standard Operating Procedures (SOPs) have been developed for key target groups to enhance identification and referral procedures for VoTs and PVoTs. While these efforts have successfully increased knowledge and awareness of counter trafficking &nbsp;mechanisms in the Kingdom, the RCTiP has potential to grow, both nationally and regionally.&nbsp;&nbsp;</span></span></p><br><p><span><span>The Phase 2 project is based on two strategic pillars: 1) the expansion of existing training materials to reach a wider audience of practitioners (including through digital channels); and 2) the strengthening of Bahrain’s role as a regional leader on combating TiP. Both of these pillars are guided by IOM’s Counter-Trafficking Theory of Change, with activities that reflect the following intervention models: Capacity-development for service provision and protection; Referral system strengthening; Law and policy development; and Research and data collection/management. These modules aim to ensure a cohesive approach to counter-trafficking.</span></span></p><br><p><span><span>While the resources developed under Phase 1 effectively capacitated almost 100 frontline work</span></span><span><span>ers </span></span><span><span>to become &nbsp;counter trafficking trainers, additional action is needed to reach a broader audience of practitioners who can assist trafficked persons. Through Strategic Pillar 1, the existing curriculum will be adapted for a broader audience, including other professionals who may come into contact with PVoTs, such as interpreters, recruitment officers and manpower agents, and border or immigration officials. Through an e-learning platform, a greater focus will be placed on self-learning and awareness raising. The aim will be to streamline frontline workers’ knowledge of TiP and ability to identify and assist PVoTs, in accordance with national protection mechanisms (namely the NRM, Expatriate Protection Centre and national anti-trafficking hotline) and in alignment with international standards. Opportunities to support the sustainability of the centre, for example through monetization of these trainings, will be explored throughout this phase, with a view to supporting the long-term viability of the centre. Through Strategic Pillar 2, the RCTIP will be better positioned to fulfil its regional mandate. Given that Phase 1 activities focused on frontline workers in Bahrain, Phase 2 will also target professionals elsewhere in the region. The visibility of the centre and its partners will also be increased through a dedicated visibility strategy. These initiatives will serve to strengthen the counter-trafficking ecosystem in Bahrain and the wider region, focusing in particular on enhancing service provision and protection, </span><span>referral systems, and law and policy frameworks on counter-trafficking.</span></span></p><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives.<br> Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.<br> We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems.<br> To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br> You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.<br> Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm.<br> If you do not have hands-on project experience at one of the firms listed below, please do not apply.<br> This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.<br> Eligible firms: McKinsey &amp; Company, Boston Consulting Group (BCG), Bain &amp; Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&amp;C), EY-Parthenon, Kearney, and Strategy&amp; (PwC).<br> Who We’re Looking For Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in: Structuring ambiguous client problems into workable analytical plans Building financial models, market analyses, or synthesized findings from messy inputs Producing client-ready deliverables under time pressure Forming and defending recommendations under uncertainty No deep technical background is required — we will onboard you on the lightweight tools involved.<br> What You’ll Do Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.<br> Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.<br> Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.<br> This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.<br> Skills &amp; Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&amp; Strong structured problem-solving and hypothesis-driven thinking Ability to translate vague problems into clear analytical steps and deliverables High attention to logical consistency and output quality Independent, self-directed working style Clear written English (B2+) Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives.<br> Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.<br> We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems.<br> To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br> You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.<br> Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm.<br> If you do not have hands-on project experience at one of the firms listed below, please do not apply.<br> This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.<br> Eligible firms: McKinsey &amp; Company, Boston Consulting Group (BCG), Bain &amp; Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&amp;C), EY-Parthenon, Kearney, and Strategy&amp; (PwC).<br> Who We’re Looking For Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in: Structuring ambiguous client problems into workable analytical plans Building financial models, market analyses, or synthesized findings from messy inputs Producing client-ready deliverables under time pressure Forming and defending recommendations under uncertainty No deep technical background is required — we will onboard you on the lightweight tools involved.<br> What You’ll Do Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.<br> Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.<br> Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.<br> This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.<br> Skills &amp; Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&amp; Strong structured problem-solving and hypothesis-driven thinking Ability to translate vague problems into clear analytical steps and deliverables High attention to logical consistency and output quality Independent, self-directed working style Clear written English (B2+) Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives.<br> Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.<br> We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems.<br> To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br> You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.<br> Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm.<br> If you do not have hands-on project experience at one of the firms listed below, please do not apply.<br> This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.<br> Eligible firms: McKinsey &amp; Company, Boston Consulting Group (BCG), Bain &amp; Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&amp;C), EY-Parthenon, Kearney, and Strategy&amp; (PwC).<br> Who We’re Looking For Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in: Structuring ambiguous client problems into workable analytical plans Building financial models, market analyses, or synthesized findings from messy inputs Producing client-ready deliverables under time pressure Forming and defending recommendations under uncertainty No deep technical background is required — we will onboard you on the lightweight tools involved.<br> What You’ll Do Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.<br> Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.<br> Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.<br> This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.<br> Skills &amp; Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&amp; Strong structured problem-solving and hypothesis-driven thinking Ability to translate vague problems into clear analytical steps and deliverables High attention to logical consistency and output quality Independent, self-directed working style Clear written English (B2+) Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> For this project, tasks are estimated to require around 25-30 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br></span> </div>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled senior Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities:</h4> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <h4>Requirements:</h4> <ul> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>English proficiency: upper-intermediate (B2) or above (required).</li> </ul> <p>A link to GitHub is a plus.</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled senior Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities:</h4> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <h4>Requirements:</h4> <ul> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> </ul> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled senior Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities:</h4> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <h4>Requirements:</h4> <ul> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: upper-intermediate (B2) or above (required).</li> </ul> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled senior Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities:</h4> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> <h4>Requirements:</h4> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Responsibilities of the role</h4> <p>Reporting to the Automation Lead, the job holder will be responsible for the following:</p> <ul> <li>Manage all IT operations jobs like End of Days, Start of Days, file transfers, etc. via Control-M.</li> <li>Control-M application software installation, configuration, deployment, and upgrades.</li> <li>Advise on improving the way of working by bringing an automation-based perspective, proactively suggesting areas of improvement.</li> <li>Ensure all the Control-M components are always designed and implemented with a high availability concept and increase overall process resiliency.</li> <li>Should work with operating systems like Solaris, Linux, AIX, and Windows.</li> <li>Scripting on various platforms and languages (PowerShell, Bash, etc.) to automate operations within Control-M jobs.</li> <li>Install and manage Control-M modules, i.e., Control-M for backups, Control-M for OS, Control-M for database, Control-M for applications.</li> <li>Install Control-M Server, Enterprise Manager, and agents (Windows, Unix, and Linux) along with monitoring and troubleshooting.</li> <li>Keep everything documented and all documents constantly up-to-date to keep the team aware of how procedures are running.</li> <li>Manage the complete Control-M infrastructure in the bank, including installation, upgrade, and configuration of Control-M Workload Automation tool version 8/9+ and future versions.</li> <li>Run all operation tasks on all banking applications including development, test, UAT/SIT, and production environments.</li> <li>Automate the above operations and other tasks under Control-M to the maximum extent.</li> <li>Document all tasks configured under Control-M with contingency plans for running the above jobs manually in case Control-M is not available.</li> <li>Utilize the full functionality available under Control-M to innovate and improve all tasks running in GPH.</li> <li>Configure reports on Control-M to report on all operations being performed under Control-M to higher management.</li> <li>Enhance the reports available in Control-M or build custom reports by using third-party tools like Crystal Report.</li> <li>Integrate Control-M with backup software to make backups part of the End of Day workflow.</li> <li>Be part of the operations team for smooth running of operations in GPH.</li> <li>Be part of the project team to automate tasks on new products.</li> <li>Support any disaster recovery and business continuity test activities.</li> <li>Monitor alerts and ensure service availability 24x7.</li> <li>Coordinate patch and vulnerabilities management.</li> <li>Willing to work in shifts (8-hour shifts rotated weekly).</li> </ul> <h4>Areas of knowledge, qualification and experience</h4> <ul> <li>2-5 years of proven IT operations experience with Unix/Linux and Windows system administration, with 2+ years programming experience and proficiency in Unix shell (Korn, C, Bash) scripting.</li> <li>A minimum of a bachelor's degree in computer science or equivalent.</li> <li>Solid experience working as a Control-M scheduler in a distributed environment of Windows/Linux/Solaris/AIX.</li> <li>Knowledge of Crystal Report and other tools to generate customized reports on end of day and other banking operations from Control-M.</li> <li>Experience working in financial services, banking, or other fast-paced 24/7 regulated financial organizations.</li> <li>Excellent customer service and interpersonal skills.</li> <li>Excellent verbal and written communication skills.</li> <li>Strong documentation and automation skills.</li> <li>Excellent troubleshooting, root cause analysis, and permanent problem resolution skills.</li> <li>Ability to handle multiple tasks in a fast-paced environment.</li> <li>Data center operations experience in monitoring, incident handling, and escalation for Control-M jobs.</li> <li>Database knowledge of Oracle/SQL, IT certifications, and other certifications like ITIL, PMP, etc.</li> <li>Experience with hybrid cloud environments and certifications on AWS or Azure.</li> </ul></p><p></p>

<p><h4>Toloka AI and Mindrift Overview</h4> <p><strong>Toloka AI</strong> supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> <strong>Mindrift, powered by Toloka</strong> — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.</p> <h4>Management Consulting Domain Launch</h4> <p>We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br> You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.</p> <h4>Important</h4> <p>This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.</p> <p><strong>Eligible firms:</strong> McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).</p> <h4>Who We’re Looking For</h4> <p>Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:</p> <ul> <li>Structuring ambiguous client problems into workable analytical plans</li> <li>Building financial models, market analyses, or synthesized findings from messy inputs</li> <li>Producing client-ready deliverables under time pressure</li> <li>Forming and defending recommendations under uncertainty</li> </ul> <p>No deep technical background is required — we will onboard you on the lightweight tools involved.</p> <h4>What You’ll Do</h4> <ul> <li>Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.</li> <li>Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.</li> <li>Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.</li> </ul> <p>This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.</p> <h4>Skills & Requirements</h4> <ul> <li>3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&</li> <li>Strong structured problem-solving and hypothesis-driven thinking</li> <li>Ability to translate vague problems into clear analytical steps and deliverables</li> <li>High attention to logical consistency and output quality</li> <li>Independent, self-directed working style</li> <li>Clear written English (B2+)</li> </ul> <h4>Compensation</h4> <p>On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives.<br> Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.<br> We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems.<br> To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br> You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.<br> Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm.<br> If you do not have hands-on project experience at one of the firms listed below, please do not apply.<br> This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.<br> Eligible firms: McKinsey &amp; Company, Boston Consulting Group (BCG), Bain &amp; Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&amp;C), EY-Parthenon, Kearney, and Strategy&amp; (PwC).<br> Who We’re Looking For Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in: Structuring ambiguous client problems into workable analytical plans Building financial models, market analyses, or synthesized findings from messy inputs Producing client-ready deliverables under time pressure Forming and defending recommendations under uncertainty No deep technical background is required — we will onboard you on the lightweight tools involved.<br> What You’ll Do Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.<br> Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.<br> Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.<br> This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.<br> Skills &amp; Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&amp; Strong structured problem-solving and hypothesis-driven thinking Ability to translate vague problems into clear analytical steps and deliverables High attention to logical consistency and output quality Independent, self-directed working style Clear written English (B2+) Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>