وظائف مهندس تصميم ميكانيكي في البحرين

<p>The Anti-Money Laundering Officer is responsible for designing and implementing policies, procedures, and controls to prevent and detect money laundering activities. The role also includes promoting internal awareness and education regarding the risks associated with money laundering and terrorist financing, while ensuring compliance with the laws and regulations of the Kingdom of Bahrain. Duties and Responsibilities: Develop the Anti-Money Laundering and Counter-Terrorist Financing policy and strategy. Supervise, review, and continuously update internal administrative procedures. Educate and raise awareness among employees regarding the Company's Anti-Money Laundering policies and procedures. Manage and utilize systems and software designed to identify, monitor, and mitigate money laundering and terrorist financing risks. Receive, monitor, investigate, and analyze reports submitted by employees regarding suspicious transactions or activities and determine whether they should be reported to the competent authorities. Prepare and submit an annual report to the Board of Directors detailing the implementation of Anti-Money Laundering and Counter-Terrorist Financing policies, procedures, internal controls, and cases referred to the competent authorities. Develop and implement continuous training programs for all employees. Conduct ongoing monitoring by reviewing at least five randomly selected customer financing files at the end of each quarter and submitting reports identifying high-risk customers to Executive Management. Perform any other duties assigned by Executive Management.</p><p><strong>Desired Candidate Profile</strong></p>Qualifications : Bachelor's Degree in Banking and Finance, Business Administration, Accounting, or equivalent. Professional certification in Anti-Money Laundering and Counter-Terrorist Financing. Experience: Minimum two years. Required Competencies: Ability to communicate with senior officials. Sound judgment and decision-making. Strong consultation skills. Ability to distinguish between rights and responsibilities. Delegation and motivational skills. Proficiency in Arabic and English. Computer proficiency. Strong leadership. Analytical and problem-solving skills. Ability to deal with external stakeholders.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Role Summary</strong> A Rider Engagement Specialist will be the voice of a Rider at Talabat. They should excel at two-way communication with Rider s to understand their expectations, preferences and problems faced and implement campaigns addressing those problems. End goal is to increase Rider Happiness Index and decrease Rider Attrition</p><p><strong>What's On Your Plate?</strong></p><ul><li>Design and execute creative engagement activities (social events, sporting events, CSR events etc) for our Rider s at a city/country level in coordination with several stakeholders</li><li>Plan budget, track actual spends, maximise impact and evaluate success</li><li>Track Rider NPS across the city(s). Analyse and recognise patterns in the data to shape engagement activities</li><li>Do partnerships to arrange freebies or subsidised goodies for Riders (ex: fuel discounts, bike servicing vouchers, discounted meals etc)</li><li>Conduct regular surveys, focused group discussions and frequent interactions with Rider s to hear their issues and understand their needs</li><li>Share feedback on Rider sentiment, issues faced at an area/zone level regularly with City Manager</li><li>Implement and regulate communication channels between Rider s, 3PLs and other internal stakeholders for a continuous two-way communication</li><li>Be the custodian for smooth offboarding/exit processes for our Rider s</li><li>Continually analyze DATA and assist in the creation of action plans and improvement initiatives</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>What Did We Order?</strong></p><ul><li>Bachelor's Degree with at least 3-5 years of experience in an employee experience role</li><li>Proven track record of taking ownership and driving results</li><li>Prior experience in offline, online engagement activities</li><li>Ability to manage multiple projects at the same time with cross-functional teams</li><li>Strong interpersonal and communication skills, including strong writing and speaking skills. English and Arabic is a must, Urdu is a plus</li><li>Proficient in Google Suite tools like GDoc, GSheet, GSlides, GForms etc</li><li>Influencer and a negotiation with good public speaking and presentation skills</li><li>People management skills, experience of managing a large group of people, preferably blue-collared employees</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for skilled Full-Stack Web App Developers (JavaScript/TypeScript + Python or Node) to join the Tendem project (https://tendem.<br>ai/) and build interactive browser-based applications for real-world use cases.<br> In this role, you'll apply your full-stack engineering expertise to design, build, and maintain functional, robust, and user-friendly web applications.<br> This part-time remote opportunity is ideal for professionals with hands-on experience in modern frontend frameworks, backend APIs, databases, and shipping interactive web products end-to-end.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Full-Stack Web App Developer, you'll design, build, and refine browser-based applications with real logic, state, persistence, and user input — from habit trackers and budgeting tools to internal dashboards, mini-SaaS tools, and AI-powered apps.<br> You may also work on standalone Python applications and data-processing scripts that sit alongside or behind these products.<br> Key Responsibilities Build interactive web applications with frontend (React, Next.<br>js, Vue, or similar) and a backend API (Python/FastAPI/Flask or Node/Express).<br> Design and implement data models, schemas, and persistence layers using SQL (PostgreSQL, SQLite) or NoSQL stores.<br> Implement authentication, sessions, and basic role-based access where needed.<br> Integrate third-party APIs and AI/LLM services (OpenAI, Anthropic, or similar) into product features.<br> Handle state management, user input validation, error states, and loading states cleanly.<br> Build standalone Python tools and scripts where required by the task (data processing, API clients, lightweight backend utilities).<br> Review, debug, optimize, and refactor full-stack applications to improve correctness, security, performance, and maintainability.<br> Write clear, testable code and debug end-to-end issues across frontend, backend, and database.<br> Educational qualifications At least 3 years of relevant experience in full-stack web development or shipping interactive web applications (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 full-stack web development, modern frontend frameworks, backend architecture, and building interactive browser-based applications end-to-end.<br> We are looking for specialists who can confidently work across frontend, backend, databases, and APIs, design robust application logic, and build production-ready web applications.<br> Strong problem-solving skills, attention to detail, and the ability to independently architect and ship complete features are essential.<br> Technical Skills (Essential) Strong command of JavaScript/TypeScript and at least one modern frontend framework (React, Next.<br>js, Vue, Svelte, or similar).<br> Solid backend experience in Python (FastAPI, Flask, Django) and/or Node.<br>js (Express, NestJS).<br> Hands-on experience with relational databases (PostgreSQL, MySQL, SQLite) and basic schema design.<br> Experience implementing REST APIs, request validation, error handling, and authentication flows.<br> Familiarity with deployment platforms (Vercel, Netlify, Render, Fly.<br>io, Railway, or similar).<br> Experience integrating LLM APIs or other AI services into product features is a strong plus.<br> Comfortable with version control (Git) and basic testing practices.<br> Additional requirements Strong attention to detail and commitment to building working, robust products — not demos.<br> Self-directed work ethic with the ability to architect, build, and ship features independently.<br> Portfolio of shipped web applications (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> Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform.<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 Full-Stack Web App Developers (JavaScript/TypeScript + Python or Node) to join the Tendem project (https://tendem.<br>ai/) and build interactive browser-based applications for real-world use cases.<br> In this role, you'll apply your full-stack engineering expertise to design, build, and maintain functional, robust, and user-friendly web applications.<br> This part-time remote opportunity is ideal for professionals with hands-on experience in modern frontend frameworks, backend APIs, databases, and shipping interactive web products end-to-end.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Full-Stack Web App Developer, you'll design, build, and refine browser-based applications with real logic, state, persistence, and user input — from habit trackers and budgeting tools to internal dashboards, mini-SaaS tools, and AI-powered apps.<br> You may also work on standalone Python applications and data-processing scripts that sit alongside or behind these products.<br> Key Responsibilities Build interactive web applications with frontend (React, Next.<br>js, Vue, or similar) and a backend API (Python/FastAPI/Flask or Node/Express).<br> Design and implement data models, schemas, and persistence layers using SQL (PostgreSQL, SQLite) or NoSQL stores.<br> Implement authentication, sessions, and basic role-based access where needed.<br> Integrate third-party APIs and AI/LLM services (OpenAI, Anthropic, or similar) into product features.<br> Handle state management, user input validation, error states, and loading states cleanly.<br> Build standalone Python tools and scripts where required by the task (data processing, API clients, lightweight backend utilities).<br> Review, debug, optimize, and refactor full-stack applications to improve correctness, security, performance, and maintainability.<br> Write clear, testable code and debug end-to-end issues across frontend, backend, and database.<br> Educational qualifications At least 3 years of relevant experience in full-stack web development or shipping interactive web applications (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 full-stack web development, modern frontend frameworks, backend architecture, and building interactive browser-based applications end-to-end.<br> We are looking for specialists who can confidently work across frontend, backend, databases, and APIs, design robust application logic, and build production-ready web applications.<br> Strong problem-solving skills, attention to detail, and the ability to independently architect and ship complete features are essential.<br> Technical Skills (Essential) Strong command of JavaScript/TypeScript and at least one modern frontend framework (React, Next.<br>js, Vue, Svelte, or similar).<br> Solid backend experience in Python (FastAPI, Flask, Django) and/or Node.<br>js (Express, NestJS).<br> Hands-on experience with relational databases (PostgreSQL, MySQL, SQLite) and basic schema design.<br> Experience implementing REST APIs, request validation, error handling, and authentication flows.<br> Familiarity with deployment platforms (Vercel, Netlify, Render, Fly.<br>io, Railway, or similar).<br> Experience integrating LLM APIs or other AI services into product features is a strong plus.<br> Comfortable with version control (Git) and basic testing practices.<br> Additional requirements Strong attention to detail and commitment to building working, robust products — not demos.<br> Self-directed work ethic with the ability to architect, build, and ship features independently.<br> Portfolio of shipped web applications (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> Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform.<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 Full-Stack Web App Developers (JavaScript/TypeScript + Python or Node) to join the Tendem project (https://tendem.<br>ai/) and build interactive browser-based applications for real-world use cases.<br> In this role, you'll apply your full-stack engineering expertise to design, build, and maintain functional, robust, and user-friendly web applications.<br> This part-time remote opportunity is ideal for professionals with hands-on experience in modern frontend frameworks, backend APIs, databases, and shipping interactive web products end-to-end.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Full-Stack Web App Developer, you'll design, build, and refine browser-based applications with real logic, state, persistence, and user input — from habit trackers and budgeting tools to internal dashboards, mini-SaaS tools, and AI-powered apps.<br> You may also work on standalone Python applications and data-processing scripts that sit alongside or behind these products.<br> Key Responsibilities Build interactive web applications with frontend (React, Next.<br>js, Vue, or similar) and a backend API (Python/FastAPI/Flask or Node/Express).<br> Design and implement data models, schemas, and persistence layers using SQL (PostgreSQL, SQLite) or NoSQL stores.<br> Implement authentication, sessions, and basic role-based access where needed.<br> Integrate third-party APIs and AI/LLM services (OpenAI, Anthropic, or similar) into product features.<br> Handle state management, user input validation, error states, and loading states cleanly.<br> Build standalone Python tools and scripts where required by the task (data processing, API clients, lightweight backend utilities).<br> Review, debug, optimize, and refactor full-stack applications to improve correctness, security, performance, and maintainability.<br> Write clear, testable code and debug end-to-end issues across frontend, backend, and database.<br> Educational qualifications At least 3 years of relevant experience in full-stack web development or shipping interactive web applications (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 full-stack web development, modern frontend frameworks, backend architecture, and building interactive browser-based applications end-to-end.<br> We are looking for specialists who can confidently work across frontend, backend, databases, and APIs, design robust application logic, and build production-ready web applications.<br> Strong problem-solving skills, attention to detail, and the ability to independently architect and ship complete features are essential.<br> Technical Skills (Essential) Strong command of JavaScript/TypeScript and at least one modern frontend framework (React, Next.<br>js, Vue, Svelte, or similar).<br> Solid backend experience in Python (FastAPI, Flask, Django) and/or Node.<br>js (Express, NestJS).<br> Hands-on experience with relational databases (PostgreSQL, MySQL, SQLite) and basic schema design.<br> Experience implementing REST APIs, request validation, error handling, and authentication flows.<br> Familiarity with deployment platforms (Vercel, Netlify, Render, Fly.<br>io, Railway, or similar).<br> Experience integrating LLM APIs or other AI services into product features is a strong plus.<br> Comfortable with version control (Git) and basic testing practices.<br> Additional requirements Strong attention to detail and commitment to building working, robust products — not demos.<br> Self-directed work ethic with the ability to architect, build, and ship features independently.<br> Portfolio of shipped web applications (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> Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br></span> </div>

<p><h4>Position objective:</h4> <p>The sales associate is responsible for representing the brand by maximizing sales and delivering exceptional customer service. This role involves maintaining store standards, supporting visual merchandising, and assisting in the overall retail experience while adhering to operational duties as assigned by the store manager or assistant store manager.</p> <h4>Key responsibility:</h4> <strong>Customer service:</strong> <ul> <li>Greet customers and assist them in selecting products that meet their needs.</li> <li>Convert window shoppers into buyers through proactive engagement.</li> <li>Promote the company's loyalty program to encourage repeat sales.</li> <li>Deliver top-tier customer service by following the company’s GUEST model (Greet, Understand, Explain, Sell, Thank).</li> <li>Stay informed about various brands within the group to offer effective suggestions and cross-selling opportunities.</li> <li>Educate customers on product features, benefits, materials, and care instructions.</li> </ul> <strong>Grooming / attitude / knowledge:</strong> <ul> <li>Always present a well-groomed and professional appearance.</li> <li>Be flexible and available to work extended hours during peak sales periods.</li> <li>Stay up-to-date on product knowledge to minimize stock loss and provide accurate recommendations.</li> </ul> <strong>Merchandising:</strong> <ul> <li>Ensure products are displayed in an attractive manner according to store layout standards.</li> <li>Adhere to visual merchandising (VM) guidelines and stock management protocols, especially for clearance items.</li> <li>Record and maintain accurate inventory records for incoming and outgoing stock.</li> <li>Upsell and cross-sell products to increase sales opportunities.</li> <li>Maintain strong knowledge of product inventory and promotions to communicate effectively with customers.</li> </ul> <strong>Process:</strong> <ul> <li>Efficiently operate the point of sale (POS) system for billing and transactions.</li> <li>Balance the cash till at the start and end of shifts.</li> <li>Accurately process payments through cash, credit cards, vouchers, or automatic debits.</li> <li>Issue receipts, refunds, and change to customers correctly.</li> <li>Maintain vigilance regarding store security and ensure all loss prevention policies are followed.</li> <li>Replenish and re-merchandise stock on the sales floor to ensure product availability at all times.</li> </ul> <h4>Desired qualification:</h4> <p>The ideal sales associate in a retail company should have a bachelor’s degree with effective communication and interpersonal skills in order to contribute to a welcoming customer experience. Previous experience in a sales role is preferred.</p></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are currently looking for Sr. Java Developer for our Bahrain operations with the following skillsets &amp; terms and conditions:</p><p><strong>Knowledge of API Management.</strong></p><p>Knowledge of Java (Java 8/11/14), OOP principles, SOLID/DRY.</p><p>Knowledge of Java Concurrency &amp; Multithreading.</p><p>Knowledge of Microservices.</p><p>Knowledge of Spring Framework + Spring Boot + Micro-Services development with JPA.</p><p>Ability to design and implement RESTful APIs.</p><p>Knowledge of message queuing systems (e.g., IBM MQ, Kafka).</p><p>Knowledge of HTTP/HTTPS protocol, web servers, relational database design and SQL scripting (MySQL).</p><p>Knowledge of NoSQL technologies (MongoDB).</p><p>Knowledge of UI technologies (HTML5, Thyme leaf/JSP, JSF, Prime faces, CSS, JavaScript, jQuery).</p><p>Knowledge of Security &amp; Identity protocols (OpenID, TLS, OAuth, SAML, SSO, PKI encryption &amp; key management).</p><p>Knowledge Testing, debugging, follow best practice in (Git) Version Control System.</p><p>Knowledge of DevOps.</p><p>Must have Banking / Financial Services experience.</p><p><strong>Job Responsibility</strong></p><p>Design, develop, and maintain Java (8/11/14) applications using OOP and clean-code practices (SOLID/DRY).</p><p>Build and enhance backend services using Spring Framework/Spring Boot, ensuring high performance and scalability.</p><p>Develop, expose, and consume RESTful APIs (JSON) and support SOAP/WSDL/XML integrations when required.</p><p>Implement microservices architecture using JPA/Hibernate, including service communication and API lifecycle management.</p><p>Design and optimize data models; write efficient SQL and manage relational databases (e.g., MySQL) and NoSQL (MongoDB).</p><p>Apply concurrency and multithreading to improve throughput, reliability, and overall system responsiveness.</p><p>Implement security and identity standards including OAuth2/OpenID Connect, SAML/SSO, TLS, and PKI concepts</p><p>Troubleshoot production issues, handle multiple support cases in parallel, and perform root-cause analysis.</p><p>Develop and execute testing/debugging activities, ensuring code quality and adherence to engineering best practices.</p><p>Use Git for version control and support CI/CD/DevOps practices, preferably using Azure DevOps pipelines and boards.</p><p>Collaborate with cross-functional teams to gather integration requirements.</p><p>Document integration flows, technical specifications, and support procedures.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Academic Qualification</strong> Bachelor s Degree in Computer Science / Engineering or related field</p><p><strong>Experience required:</strong> Years of Experience 7 - 10 years</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph">Job Description <div> <p> <strong>Role Summary</strong> </p> <p>A Rider Engagement Specialist will be the voice of a Rider at Talabat. They should excel at two-way communication with Rider s to understand their expectations, preferences and problems faced and implement campaigns addressing those problems. End goal is to increase Rider Happiness Index and decrease Rider Attrition</p> <p> <strong>What s On Your Plate?</strong> </p> <ul> <li>Design and execute creative engagement activities (social events, sporting events, CSR events etc) for our Rider s at a city/country level in coordination with several stakeholders</li> <li>Plan budget, track actual spends, maximise impact and evaluate success</li> <li>Track Rider NPS across the city(s). Analyse and recognise patterns in the data to shape engagement activities</li> <li>Do partnerships to arrange freebies or subsidised goodies for Riders (ex: fuel discounts, bike servicing vouchers, discounted meals etc)</li> <li>Conduct regular surveys, focused group discussions and frequent interactions with Rider s to hear their issues and understand their needs</li> <li>Share feedback on Rider sentiment, issues faced at an area/zone level regularly with City Manager</li> <li>Implement and regulate communication channels between Rider s, 3PLs and other internal stakeholders for a continuous two-way communication</li> <li>Be the custodian for smooth offboarding/exit processes for our Rider s</li> <li>Continually analyze DATA and assist in the creation of action plans and improvement initiatives;</li></ul></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph">Qualifications </p><div> <p> <strong>What Did We Order?</strong> </p> <ul> <li>Bachelor's Degree with at least 3-5 years of experience in an employee experience role</li> <li>Proven track record of taking ownership and driving results</li> <li>Prior experience in offline, online engagement activities</li> <li>Ability to manage multiple projects at the same time with cross-functional teams</li> <li>Strong interpersonal and communication skills, including strong writing and speaking skills. English and Arabic is a must, Urdu is a plus</li> <li>Proficient in Google Suite tools like GDoc, GSheet, GSlides, GForms etc</li> <li>Influencer and a negotiation with good public speaking and presentation skills</li> <li>People management skills, experience of managing a large group of people, preferably blue-collared employees</li></ul></div><p></p></section>

<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"> <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>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>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Evaluate AI-generated auto insurance claims decisions for accuracy, coverage correctness, and regulatory compliance;</li> <li>Design FNOL scenarios with deliberate contradictions, decoy files, and outdated documents to test agent robustness;</li> <li>Write and grade fraud-flagging scenarios using structured reason codes (late reporting, recently purchased policy, inconsistent damage) for SIU referral;</li> <li>Build subrogation test cases applying state-specific negligence rules (comparative vs. contributory) and assess likelihood of recovery;</li> <li>Document test cases clearly with correct answers, policy citations, and payout calculations.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for professionals with a background in insurance claims, legal services, or broader financial services who are open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in insurance, risk management, business administration, finance, law, or any related field;</li> <li>3+ years of insurance, claims, legal, or financial services experience;</li> <li>Current or recent experience in claims and adjusting or adjacent roles;</li> <li>Familiarity with auto insurance coverage decisions, state-specific negligence rules, and adjuster authority-limit culture;</li> <li>AIC, CPCU, CIFI, or SCLA credential is a strong positive signal, though not required if hands-on experience is solid;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</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 $50 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>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Evaluate AI-generated auto insurance claims decisions for accuracy, coverage correctness, and regulatory compliance;</li> <li>Design FNOL scenarios with deliberate contradictions, decoy files, and outdated documents to test agent robustness;</li> <li>Write and grade fraud-flagging scenarios using structured reason codes (late reporting, recently purchased policy, inconsistent damage) for SIU referral;</li> <li>Build subrogation test cases applying state-specific negligence rules (comparative vs. contributory) and assess likelihood of recovery;</li> <li>Document test cases clearly with correct answers, policy citations, and payout calculations.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for professionals with a background in insurance claims, legal services, or broader financial services who are open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Insurance, Risk Management, Business Administration, Finance, Law, or any related field;</li> <li>3+ years of insurance, claims, legal, or financial services experience;</li> <li>Current or recent experience in claims and adjusting or adjacent roles;</li> <li>Familiarity with auto insurance coverage decisions, state-specific negligence rules, and adjuster authority-limit culture;</li> <li>AIC, CPCU, CIFI, or SCLA credential is a strong positive signal, though not required if hands-on experience is solid;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</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 $50 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>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design and evaluate Quarterly Business Review scenarios — performance vs. benchmark, allocation drift against IPS tolerance bands, and material fund document changes;</li> <li>Create rebalancing and tax-loss harvesting test cases involving cost basis, short-term vs. long-term capital gains, and wash-sale rule application;</li> <li>Develop suitability check cases probing risk tolerance, time horizon, prohibited holdings, and concentration limits against a client's Investment Policy Statement;</li> <li>Construct fee-stack analysis cases: portfolio-weighted expense ratios, advisory fees, and all-in cost comparisons against category benchmarks;</li> <li>Document test cases clearly with verified calculations, policy citations, and correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for professionals with a background in investment management, financial advisory, or broader financial services who are open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in finance, economics, business administration, accounting, mathematics, statistics, or any related field;</li> <li>2+ years of finance, investment, accounting, or financial services experience;</li> <li>Current or recent experience in advisory and management or adjacent roles;</li> <li>Practical knowledge of portfolio performance analysis, tax-lot accounting, wash-sale rules, and Investment Policy Statement literacy; a CFA, CFP, CPWA, CIMA, or CIPM credential is a strong positive signal;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</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 $50 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>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Evaluate AI-generated auto insurance claims decisions for accuracy, coverage correctness, and regulatory compliance;</li> <li>Design FNOL scenarios with deliberate contradictions, decoy files, and outdated documents to test agent robustness;</li> <li>Write and grade fraud-flagging scenarios using structured reason codes (late reporting, recently purchased policy, inconsistent damage) for SIU referral;</li> <li>Build subrogation test cases applying state-specific negligence rules (comparative vs. contributory) and assess likelihood of recovery;</li> <li>Document test cases clearly with correct answers, policy citations, and payout calculations.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for professionals with a background in insurance claims, legal services, or broader financial services who are open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Insurance, Risk Management, Business Administration, Finance, Law, or any related field;</li> <li>3+ years of insurance, claims, legal, or financial services experience;</li> <li>Current or recent experience in claims and adjusting or adjacent roles;</li> <li>Familiarity with auto insurance coverage decisions, state-specific negligence rules, and adjuster authority-limit culture;</li> <li>AIC, CPCU, CIFI, or SCLA credential is a strong positive signal, though not required if hands-on experience is solid;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply > Pass qualification(s) > Join a project > Complete tasks > Get paid</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 $50 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"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Evaluate AI-generated auto insurance claims decisions for accuracy, coverage correctness, and regulatory compliance; Design FNOL scenarios with deliberate contradictions, decoy files, and outdated documents to test agent robustness; Write and grade fraud-flagging scenarios using structured reason codes (late reporting, recently purchased policy, inconsistent damage) for SIU referral; Build subrogation test cases applying state-specific negligence rules (comparative vs.<br> contributory) and assess likelihood of recovery; Document test cases clearly with correct answers, policy citations, and payout calculations.<br> What we look for This opportunity is a good fit for professionals with a background in insurance claims, legal services, or broader financial services who are open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Insurance, Risk Management, Business Administration, Finance, Law, or any related field; 3+ years of insurance, claims, legal, or financial services experience; Current or recent experience in claims &amp; adjusting or adjacent roles; Familiarity with auto insurance coverage decisions, state-specific negligence rules, and adjuster authority-limit culture; AIC, CPCU, CIFI, or SCLA credential is a strong positive signal, though not required if hands-on experience is solid; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid 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 $50 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>