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<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Summary The Testing &amp; Commissioning Electrical Engineer is responsible for planning, managing, and executing electrical testing and commissioning activities for MEP projects.<br> The role includes evaluating test results, preparing technical documentation, and presenting findings to clients and consultants while ensuring compliance with project specifications, safety regulations, and applicable industry standards.<br> The ideal candidate must have strong hands-on experience in testing medium- and low-voltage electrical systems and equipment.<br> Key Responsibilities Plan, organize, and execute electrical testing and commissioning activities in accordance with approved procedures and project schedules.<br> Conduct insulation resistance, continuity, contact resistance, relay protection, primary and secondary injection, cable integrity, and functional tests.<br> Analyze and evaluate test results, identify deficiencies, and recommend corrective actions.<br> Prepare testing procedures, method statements, inspection checklists, commissioning reports, and as-built documentation.<br> Coordinate testing activities with project teams, consultants, subcontractors, utility authorities, and clients.<br> Witness inspections and testing with consultants and clients and obtain the necessary approvals.<br> Ensure all testing activities comply with IEC, IEEE, local authority regulations, and project specifications.<br> Support project handover by ensuring all testing documentation is complete and approved.<br> Ensure strict compliance with Health, Safety, and Environment (HSE) requirements throughout all testing and commissioning activities.<br> Qualifications, Experience &amp; Skills Bachelor's Degree in Electrical Engineering.<br> Professional certifications in Testing &amp; Commissioning are an advantage.<br> Minimum 5 years of experience in electrical testing and commissioning within MEP, power distribution, or construction projects.<br> Proven hands-on experience in testing and commissioning of: 11kV Panels/Switchgear Power Transformers Ring Main Units (RMUs) HV &amp; LV Cables Familiarity with IEC, IEEE, BS, and local electrical standards.<br> Ability to read and interpret single-line diagrams, protection schemes, and electrical drawings.<br> Proficient in Microsoft Office and AutoCAD.<br> Proficient in using electrical testing equipment, including: Insulation Resistance Testers (Megger) Earth Resistance Testers Primary &amp; Secondary Injection Test Sets Transformer Test Equipment Cable Fault and Cable Testing Equipment Digital Multimeters and Clamp Meters</span> </div>

<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 We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<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 We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<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: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $200/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<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: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $200/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<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: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $200/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<p><h4>Please submit your CV in English and indicate your level of English proficiency.<\/h4>\n<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>\n<h4>What this opportunity involves:<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n <li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n <li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n <li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n <li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is NOT:<\/h4>\n<ul>\n <li>Not data labeling<\/li>\n <li>Not prompt engineering<\/li>\n <li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for:<\/h4>\n<ul>\n <li>8+ years in software development<\/li>\n <li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n <li>Experience writing tests (functional, integration)<\/li>\n <li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard:<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation:<\/h4>\n<p>Up to $200\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 30 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p><h4>Please submit your CV in English and indicate your level of English proficiency.<\/h4>\n<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>\n<h4>What this opportunity involves:<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n<li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n<li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n<li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<h4>What this is not:<\/h4>\n<li>Not data labeling<\/li>\n<li>Not prompt engineering<\/li>\n<li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<h4>What we look for:<\/h4>\n<li>8+ years in software development<\/li>\n<li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n<li>Experience writing tests (functional, integration)<\/li>\n<li>English proficiency - B2+<\/li>\n<h4>Why this is hard:<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Compensation details are provided upon engagement. Tasks are estimated at approximately 30 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Profile Oracle Fusion HCM Consultant Experience 5-8 Yrs Duration 1 year Location u200b Type Fulltime Job Description - Fusion Payroll Implementation u2013 Bahrain Localization: Hands-on experience in end-to-end implementation of Oracle Fusion Payroll for Bahrain, including SIO (Social Insurance Organization) contributions, GOSI setup, gratuity calculations, WPS (Wage Protection System) compliance, and local statutory reporting. HCM Core Modules Expertise: Proficiency in Oracle Fusion HCM modules including Core HR, Absence Management, Compensation, Benefits, and Talent Management with strong integration knowledge across modules. Payroll Configuration &amp; Processing: Ability to configure payroll elements, fast formulas, payroll flows, consolidation groups, payroll definitions, and run payroll cycles including costing and reconciliation. Support Project Delivery: Experience in managing and resolving L1/L2/L3 support tickets, performing root cause analysis, coordinating with Oracle Support (SRs), and ensuring SLA adherence on Oracle Fusion HCM support engagements. Enhancements &amp; Change Requests: Demonstrated ability to gather business requirements, perform fit-gap analysis, design solutions, and deliver functional and technical enhancements across HCM and Payroll modules with minimal supervision. Redwood UI Migration: Practical experience in migrating Oracle Fusion HCM pages and workflows from Classic UI to Oracle Redwood Experience, including configuration, page composer adjustments, and user adoption support. Oracle Fusion Agent Studio: Experience in enabling and configuring Oracle Fusion Agent Studio (AI Agents), including setup of HCM-specific agents, skill configuration, testing, and deployment to enhance HR self-service capabilities. Fast Formula Development: Strong capability in writing, debugging, and optimizing Oracle Fast Formulas for payroll calculations, absence accruals, eligibility rules, and compensation plan validations. HCM Extracts &amp; BI Reporting: Ability to design and deliver HCM Extracts, OTBI reports, BIP reports, and HDL/HSDL data loads for both operational reporting and regulatory compliance requirements. Data Migration &amp; HDL Expertise: Proficiency in using HCM Data Loader (HDL), HCM Spreadsheet Data Loader (HSDL), and PBL for data migration, conversion, and ongoing data management tasks across HCM objects. Integration &amp; API Knowledge: Familiarity with Oracle Integration Cloud (OIC), REST/SOAP APIs, and HCM Atom Feeds for building and supporting integrations between Fusion HCM and third-party systems such as time &amp; attendance, ERP, and banking platforms. Stakeholder Management &amp; Documentation: Strong communication skills to liaise with business stakeholders, conduct CRP/UAT sessions, prepare functional specification documents (FSDs), solution design documents (SDDs), and end-user training materials. Preferred Certifications: Oracle HCM Cloud Implementation Professional | Oracle Payroll Cloud Certified </p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Preferred Certifications: Oracle HCM Cloud Implementation Professional | Oracle Payroll Cloud Certified</p><p></p></section>

<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: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $200/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<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 Frontier coding agents are already good at passing tests.<br> We measure whether they pass them the right way .<br>We're building a dataset to evaluate the safety and conduct of AI coding agents — not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.<br>You'll design tasks where the easy path is the unsafe one, and write the tests that catch it: Build realistic developer environments — a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes Write tests that verify whether the agent completed the task the right way — catching corners cut, not just checking outputs Iterate on tasks and tests based on QA feedback — review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling; Not prompt engineering; Not cybersecurity or red-teaming — there is no attacker in the scenario.<br> Cybersecurity experience is a nice-to-have but not a requirement.<br> We're looking for engineers who understand how code should behave, not penetration testers.<br> Strong software engineers, not security specialists; Not writing code from scratch — the agent writes most of the code; you design the situation and evaluate the outcome; What we look for 4–5+ years in software development; Core stack: Python, JavaScript/TypeScript; Strong test design skills — functional and integration tests that separate safe from unsafe completion, not just correct from incorrect; Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar); Familiarity with GitHub PRs and CI workflows as a user; Stack breadth is welcome, not a filter.<br> Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful — but you don't need to be an expert in every layer; English proficiency — B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> The real difficulty is building the temptation — a scenario where the unsafe or out-of-scope path is the path of least resistance — and then writing tests that reliably catch an agent that took it.<br> Tasks have many valid solutions; tests must accept all of them and reject the bad ones.<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 20-25 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> Compensation On this project, contributors can earn up to $75 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>Please submit your CV in English and indicate your level of English proficiency.</h4> <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>Frontier coding agents are already good at passing tests. We measure whether they pass them the right way. We're building a dataset to evaluate the safety and conduct of AI coding agents — not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.</p> <p>You'll design tasks where the easy path is the unsafe one, and write the tests that catch it:</p> <ul> <li>Build realistic developer environments — a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history</li> <li>Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes</li> <li>Write tests that verify whether the agent completed the task the right way — catching corners cut, not just checking outputs</li> <li>Iterate on tasks and tests based on QA feedback — review agent solutions, analyze failures, and refine until the evaluation is fair and robust</li> </ul> <h4>What this is NOT:</h4> <ul> <li>Not data labeling;</li> <li>Not prompt engineering;</li> <li>Not cybersecurity or red-teaming — there is no attacker in the scenario. Cybersecurity experience is a nice-to-have but not a requirement. We're looking for engineers who understand how code should behave, not penetration testers. Strong software engineers, not security specialists;</li> <li>Not writing code from scratch — the agent writes most of the code; you design the situation and evaluate the outcome;</li> </ul> <h4>What we look for</h4> <ul> <li>4–5+ years in software development;</li> <li>Core stack: Python, JavaScript/TypeScript;</li> <li>Strong test design skills — functional and integration tests that separate safe from unsafe completion, not just correct from incorrect;</li> <li>Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar);</li> <li>Familiarity with GitHub PRs and CI workflows as a user;</li> <li>Stack breadth is welcome, not a filter. Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful — but you don't need to be an expert in every layer;</li> <li>English proficiency — B2+</li> </ul> <h4>Why this is hard</h4> <p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. The real difficulty is building the temptation — a scenario where the unsafe or out-of-scope path is the path of least resistance — and then writing tests that reliably catch an agent that took it. Tasks have many valid solutions; tests must accept all of them and reject the bad ones.</p> <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 20-25 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. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $75 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>About Company & Role Purpose A leading FMCG company is seeking a Traditional Trade Assistant Sales Manager to achieve revenue and meet sales targets across all segments by providing guidance and direction to a team of Salesmen. This position is pivotal in establishing shelf visibility for brands in MT and building a distribution network for company products in the TT channel, expanding market penetration and boosting market share and increasing distribution footprint. Central to this role is the strategic development of route plans for the team to ensure comprehensive market coverage, thereby increasing sales productivity and efficiency. KEY RESPONSIBILITIES, ACCOUNTABILITIES AND ACTIVITIES • Achieve both volume and value sales targets by month, quarter, and year. • Ensure receivables and cash are in line with company policy. • Implement sales clearance plans, if necessary, as per the direction of the Sales Manager. • Build and expand distribution of company's products within the TT channel. • Key Account & Customer Interaction • Establish relations with key people in MT and ensure interactions with shelf supervisors. • Ensure stock rotation across the product range to maintain company standards. • Collect feedback and market intelligence to review and refine the segment strategy. • Negotiate with key customers in the channel to expand the cold chain footprint and enhance product freshness. • Manage relationships with top 25 dealers, acting as the main point of contact. • Develop and implement distribution plans for comprehensive coverage of the company's products in the TT channel. • Align with the sales strategy in coordination with the head of distribution to ensure consistent implementation in distribution and expansion within the TT channel. • Monitor daily sales and market trends of the Dealer business and provide support to the sales team and dealers to meet growth expectations. • Conduct daily market visits by area to review distribution practices. • Effectively communicate sales targets and provide size-wise sales information to the team. • Coordinate with salesclerk and store team to establish daily delivery schedules for the TT channel, including first and second loads. • Develop area-specific route plans for salesmen with visit frequencies based on sales movement. • Ensure all cold chain chillers have a comprehensive database and asset tracking document. • Monitor competitor activities and promptly report any concerns to the SM for necessary actions. • Ensure display plan-o-grams are implemented. • Ensure stock tracking in MT, both on-shelf and back store through the team. • Initiate and develop promotional campaigns in coordination with Sales Manager. • Sustain, maintain and build merchandising standards. • Provide on-the-job coaching to the team and mentor the sales team to enhance productivity and achieve sales targets. • Optimize route plans and beat plans to maximize salesperson visits and coverage. • Continuously improve processes and capabilities to drive growth and operational efficiency. • Regularly evaluate the performance of the sales team and create development plans to foster their professional growth.</p><p>Qualifications • Bachelor’s degree in business, Marketing, or a related field. • 7+ years of sales experience in the FMCG industry in a sales capacity, of which at least 2 years of experience should be in distribution. • 10+ years of overall experience. • Fluency in spoken and written English (Arabic is an advantage). Skills • Strong leadership skills. • Strategic thinking capability. • Entrepreneurial mindset and exposure to all areas of the distribution business model. • Good written and verbal communication skills. • Excellent interpersonal skills. • Specialization in selling skills and the ability to impart these to team members. • Excellent negotiating and influencing skills. • Strong management and organizational skills. • Self-driven with high self-motivation. • Good proficiency in Microsoft Office.</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 Frontier coding agents are already good at passing tests.<br> We measure whether they pass them the right way .<br>We're building a dataset to evaluate the safety and conduct of AI coding agents — not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.<br>You'll design tasks where the easy path is the unsafe one, and write the tests that catch it: Build realistic developer environments — a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes Write tests that verify whether the agent completed the task the right way — catching corners cut, not just checking outputs Iterate on tasks and tests based on QA feedback — review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling; Not prompt engineering; Not cybersecurity or red-teaming — there is no attacker in the scenario.<br> Cybersecurity experience is a nice-to-have but not a requirement.<br> We're looking for engineers who understand how code should behave, not penetration testers.<br> Strong software engineers, not security specialists; Not writing code from scratch — the agent writes most of the code; you design the situation and evaluate the outcome; What we look for 4–5+ years in software development; Core stack: Python, JavaScript/TypeScript; Strong test design skills — functional and integration tests that separate safe from unsafe completion, not just correct from incorrect; Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar); Familiarity with GitHub PRs and CI workflows as a user; Stack breadth is welcome, not a filter.<br> Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful — but you don't need to be an expert in every layer; English proficiency — B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> The real difficulty is building the temptation — a scenario where the unsafe or out-of-scope path is the path of least resistance — and then writing tests that reliably catch an agent that took it.<br> Tasks have many valid solutions; tests must accept all of them and reject the bad ones.<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 20-25 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> Compensation On this project, contributors can earn up to $75 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>About AIVM</h4> <p>AIVM is building the guardrails for the post-human agentic economy, integrating cutting-edge AI and blockchain technology. Our toolkit will enable standardized agentic payments, identity, and accountability, providing a key piece of infrastructure for the coming 1 billion AI agents. AIVM is part of the ChainGPT ecosystem, a pioneer in the decentralized AI field.</p> <h4>About the Role</h4> <p>We are looking for a highly technical and execution-driven Head of Product to lead one of the most ambitious initiatives in Web3: the AIVM (Artificial Intelligence Virtual Machine).</p> <p>Reporting to the CEO, you will translate AIVM’s company vision into product architecture, roadmap, developer experience, and launch execution, including:</p> <ul> <li>The Policy Oracle: Cryptographic guardrails that intercept, evaluate, and enforce agent action before execution.</li> <li>Agent Identity and Reputation: including emerging standards such as ERC-8004.</li> <li>Programmable Payments and Wallet Abstraction: including x402-inspired flows.</li> <li>Immutable Accountability: via execution receipts that make agent actions traceable and auditable.</li> </ul> <p>We are currently in a high-velocity, pre-mainnet phase.</p> <p>This is not a conventional SaaS feature-shipping role. You will define primitives, product architecture, developer experience, and ecosystem adoption from pre-mainnet to launch.</p> <h4>Responsibilities</h4> <p>The immediate priority is to inherit the current roadmap, pressure-test the core primitives, align engineering and go-to-market, and drive the platform toward testnet/mainnet readiness.</p> <h4>Product Vision & Platform Strategy</h4> <ul> <li>Inherit and evolve the existing product vision, roadmap, and platform strategy for the AIVM ecosystem.</li> <li>Position AIVM as a category-defining decentralized AI infrastructure layer.</li> <li>Translate complex technical capabilities into clear product strategy and market positioning.</li> </ul> <h4>Platform & Ecosystem Design</h4> <p>Lead the design of AIVM as a multi-sided platform serving:</p> <ul> <li>Agent developers and AI application teams</li> <li>Protocols and apps integrating autonomous agents</li> <li>Enterprises needing policy, compliance, and controlled execution</li> <li>Node operators, validators, infrastructure providers</li> <li>Data, compute, and model providers</li> </ul> <p>Define core primitives: APIs, SDKs, execution layers, and developer experience.</p> <h4>Execution & Product Leadership</h4> <ul> <li>Build and lead a high-performance product function.</li> <li>Drive end-to-end product execution from concept to mainnet and beyond.</li> <li>Establish product processes that balance speed, quality, and scalability.</li> <li>Partner deeply with engineering to align on architecture, trade-offs, and delivery.</li> <li>Run product and technical execution rituals to maintain roadmap clarity, accountability, and delivery momentum.</li> </ul> <h4>Cross-Functional Alignment</h4> <ul> <li>Act as the central bridge between product, engineering, marketing, and business development.</li> <li>Collaborate on go-to-market strategy, product launches, and narrative.</li> <li>Support partnerships with strong product thinking and technical clarity.</li> </ul> <h4>Data, Metrics & Optimization</h4> <ul> <li>Define and track core product and ecosystem KPIs:</li> <ul> <li>Developer adoption</li> <li>Agent deployments</li> <li>Network activity and retention</li> </ul> <li>Use insights to continuously refine product direction and priorities.</li> </ul> <h4>Requirements</h4> <p><strong>Must have:</strong></p> <ul> <li>7+ years of experience in product management, including 2–3+ years in leadership roles.</li> <li>Technical experience is mandatory for this role. The candidate must be able to communicate effectively with our tech team and discuss in technical language.</li> </ul> <p><strong>Optional (but really important to have):</strong></p> <ul> <li>Solid understanding of AI/ML infrastructure (inference, training, compute economics).</li> <li>Experience building platforms, infrastructure products, or developer-facing systems.</li> <li>Strong background in blockchain/Web3, ideally L1, L2, or AI ecosystems.</li> <li>Proven ability to define and execute product strategy in complex, emerging markets.</li> </ul> <p><strong>Strong plus:</strong></p> <ul> <li>Experience working in remote, fast-paced, high-ownership environments.</li> <li>Utilizing AI agents infrastructures for optimization (Claude/OpenAI).</li> <li>Strong communication and leadership skills with the ability to align technical and non-technical stakeholders.</li> <li>Comfortable operating before product-market fit, where the job is to reduce ambiguity, define primitives, and force trade-offs.</li> </ul> <h4>Benefits</h4> <h4>Company Culture and Values</h4> <p>At AIVM, we value trust, effective speed, innovation, and growth. You will be expected to operate with high ownership, clear communication, and strong execution discipline in a fast-moving, pre-mainnet environment.</p> <h4>Benefits & Additional Information</h4> <p><strong>What we offer</strong></p> <ul> <li>Work on one of the most ambitious AI x blockchain infrastructure products in the market.</li> <li>Remote-first setup with flexible hours, focused on outcomes, trust, and ownership.</li> <li>Competitive compensation, with performance-based upside where applicable.</li> <li>Fast-moving environment with direct access to leadership and zero micromanagement.</li> <li>The tools, autonomy, and support needed to build at scale.</li> </ul> <h4>Additional Information</h4> <p><strong>Employment Compliance and Confidentiality:</strong></p> <p>All employees will be onboarded through our official payroll and HR provider, which manages employment documentation, tax withholdings, and compliance with legal requirements based on the employee’s country of residence. As part of the onboarding process, each new hire is required to complete a Know Your Customer (KYC) verification, sign a Non-Disclosure Agreement (NDA), execute an employment contract, and fulfill any additional legal requirements specific to your jurisdiction. This process ensures compliance, protects company information, and establishes a secure and professional employment relationship.</p> <p><strong>Employment Structure:</strong></p> <p>The position is offered on either an employee or contractor basis, depending on the location and role. Individuals will receive payment via direct deposit on a monthly basis. Additional details regarding compensation, benefits, and company policies will be provided during onboarding and outlined in the official employment agreement.</p> <p><strong>Compensation:</strong></p> <p>Salaries are paid in fiat currency via direct deposit on a monthly schedule, with payments issued on the first business day of each month. This structure ensures timely and transparent compensation aligned with local financial systems.</p> <p><strong>Probationary Period:</strong></p> <p>All new employees will undergo a 90-day probationary period, which serves as a mutual evaluation phase. During this time, both the employee and ChainGPT can assess fit, performance, and long-term alignment with the role and company.</p></p><p></p>

<p><h4>Company description</h4> <p>Join a hotel that is a member of the Accor network, whose group brings together more than 45 brands, 5,500 hotels, 10,000 restaurants and lifestyle destinations. Here, we believe in you and what you bring to the table. There are many opportunities for development and advancement. Every gesture, every smile, every action, contributes to creating a positive and memorable impact for our customers, our colleagues and also for our planet. Together, we embody the vision of responsible hospitality.<br> Take the opportunity to become a Heartist® and let your heart guide you in this world where life beats faster.</p> <h4>Job description</h4> <p><strong>Reservations agent</strong></p> <p>You are the beginning of an exceptional guest experience. As a Reservations Agent, you will make our guests feel welcome and reflect the exceptional experience they come when they arrive!</p> <h4>What is in it for you:</h4> <ul> <li>Employee benefit card offering discounted rates in Accor worldwide</li> <li>Learning programs through our Academies</li> <li>Opportunity to develop your talent and grow within your property and across the world!</li> <li>Ability to make a difference through our Corporate Social Responsibility activities, like Planet 21</li> </ul> <h4>What you will be doing:</h4> <ul> <li>Consistently offer exceptional, friendly and engaging service</li> <li>Ensure the best selection for the guest and ensure revenue is maximized through up-selling</li> <li>Recommend property facilities and assist guests with information and special requests</li> <li>Book room reservation requests, enter rooming lists, and update accurate information in the system</li> </ul> <h4>Qualifications</h4> <p><strong>Your experience and skills include:</strong></p> <ul> <li>Guest focused personality is essential</li> <li>Experience is an asset</li> <li>Prior experience working with Opera or a related system</li> <li>Strong interpersonal and problem solving abilities</li> <li>Fluency in English, additional languages are a plus</li> </ul></p><p></p>

<p>Reporting to the Van Sales Supervisor Responsibilities: Maximise product distribution and sales volume by executing brand initiatives in line with principals objectives. Manage a defined product portfolio within an assigned geographical area, driving traditional trade distribution and consistently achieving sales targets. Serve as the primary point of contact for traditional trade customers, proactively identifying stock requirements, coordinating SKU replenishment, and ensuring timely collection of outstanding payments in line with agreed terms.</p><p><strong>Desired Candidate Profile</strong></p><p>High School Diploma or a National Diploma in business, administration, or a related field. Bahraini National Years of experience and other skills: Minimum of 1 - 2 years experience in FMCGS Sales &amp; Distribution. Previous experience in sales / cash handling role. Heavy Driving License is a must. Knowledge of product information. Fluency in spoken and written English (Arabic an advantage) Knowledge of the road system and geography of Bahrain. Knowledge of credit terms and controls. The place of work is in BMMI Bahrain.</p>

<p><h4>About the role</h4> <p>Pavago is hiring an inbound marketer to help build scalable, inbound-driven marketing systems for fast-growing companies.</p> <p>This role goes far beyond traditional SEO. We’re looking for someone who understands how content, search, distribution, conversion, and buyer psychology work together to drive real business growth.</p> <p>You’ll be responsible for creating high-quality inbound content, improving search visibility, building lead magnets, optimizing conversion paths, and distributing content across the right channels to generate awareness, demand, and qualified leads.</p> <p>This is a hands-on execution role for someone who can think strategically while consistently shipping strong inbound assets that produce measurable outcomes — not vanity metrics.</p> <p>The ideal candidate is an excellent writer, understands modern SEO and AI-driven search behavior, and knows how to turn content into pipeline.</p> <h4>What you’ll own</h4> <strong>Content creation & SEO optimization</strong><br> <li>Create high-quality, value-driven inbound content that educates, informs, and builds authority</li> <li>Write SEO-optimized blogs, landing pages, website copy, and inbound marketing assets</li> <li>Develop content aligned with search intent, funnel stage, and conversion goals</li> <li>Optimize content for both traditional search engines and AI-driven search experiences (LLMs, AI summaries, featured answers)</li> <li>Continuously improve existing content based on performance and ranking opportunities</li> <strong>Inbound marketing execution</strong><br> <li>Execute inbound marketing initiatives across SEO, content marketing, lead magnets, social distribution, and website conversion flows</li> <li>Support content distribution across LinkedIn, X, newsletters, and other relevant channels</li> <li>Build inbound systems that connect content, engagement, and conversion</li> <li>Collaborate on website and landing page optimization initiatives</li> <strong>Lead magnets & conversion assets</strong><br> <li>Develop guides, playbooks, checklists, and gated resources designed to capture demand</li> <li>Write conversion-focused copy for CTAs, landing pages, thank-you pages, and nurture flows</li> <li>Improve conversion rates through stronger messaging and inbound positioning</li> <li>Support inbound funnel optimization and lead generation initiatives</li> <strong>Research & content strategy</strong><br> <li>Conduct deep research on industries, competitors, buyer pain points, and search opportunities</li> <li>Identify content gaps and inbound growth opportunities across the funnel</li> <li>Develop strong content angles and positioning based on market insights</li> <li>Stay current on SEO, AI-search, inbound marketing, and content distribution trends</li> <strong>Analytics & performance optimization</strong><br> <li>Monitor content and inbound performance using GA4, GSC, SEMrush, Ahrefs, and related tools</li> <li>Analyze engagement, rankings, conversions, and traffic behavior</li> <li>Optimize campaigns and content based on measurable outcomes and conversion data</li> <li>Report insights and recommendations to improve inbound performance</li> <h4>What makes you a great fit</h4> <li>You understand that inbound marketing is about creating demand — not just publishing content</li> <li>You can create content that is genuinely valuable, insightful, and conversion-focused</li> <li>You understand SEO, AI-driven search behavior, and modern inbound funnels</li> <li>You think strategically while remaining highly execution-oriented</li> <li>You are analytical, curious, and continuously improving based on data</li> <li>You are highly organized and comfortable managing multiple content initiatives simultaneously</li> <h4>Required experience & skills</h4> <li>Proven experience in inbound marketing, content marketing, SEO, or content writing</li> <li>Strong understanding of SEO, search intent, and inbound funnel strategy</li> <li>Experience using tools such as Google Search Console, GA4, SEMrush, or Ahrefs</li> <li>Excellent written English and storytelling ability</li> <li>Experience creating conversion-focused inbound content</li> <li>Strong research and analytical skills</li> <li>Portfolio showcasing inbound or SEO-driven content work</li> <h4>Preferred experience</h4> <li>Agency or B2B marketing experience</li> <li>Experience building and promoting lead magnets</li> <li>Familiarity with LinkedIn and social content distribution strategies</li> <li>Understanding of AI-search optimization and evolving search behavior</li> <li>Experience improving website conversion rates and inbound lead generation</li> <h4>What a typical day looks like</h4> <p>An inbound marketer’s day revolves around creating, optimizing, and distributing content that drives inbound demand. You will:</p> <li>Write and optimize blogs, landing pages, and inbound content assets</li> <li>Research search opportunities, competitors, and content angles</li> <li>Build and improve lead magnets and conversion assets</li> <li>Review SEO and content performance data to improve results</li> <li>Collaborate with marketing and strategy teams on inbound campaigns</li> <li>Continuously refine inbound funnels and content distribution strategies</li> <p>In short: you build inbound systems that turn content, search, and distribution into qualified pipeline and measurable business growth.</p> <h4>Key metrics for success (KPIs)</h4> <li>Growth in organic traffic and qualified inbound leads</li> <li>Improved keyword rankings and search visibility</li> <li>Conversion rates on landing pages and lead magnets</li> <li>Engagement and performance of inbound content assets</li> <li>Pipeline contribution from inbound channels</li> <li>Consistent execution of high-quality inbound campaigns</li> <h4>Interview process</h4> <li>Initial screening call</li> <li>Practical inbound marketing assessment</li> <li>Final interview</li> <li>Offer & onboarding</li></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>✨ ???? WE ARE HIRING ✨ ━ PROPERTY LEASING AGENT A prestigious company is seeking elite, motivated, and result-driven Property Leasing Agents to join our professional team. ✨ WHAT WE OFFER • High earning potential • Professional growth • Premium working environment ???? REQUIREMENTS • Experience in property leasing or sales • Strong communication &amp; negotiation skills • Client-handling ability • Serious &amp; committed professionals only ___ ? ✨ STEP INTO SUCCESS. BUILD YOUR FUTURE WITH US. ✨</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Must be confident. Must have Bahrain Knowledge </p><br><p>With Own Driving License &amp; Car </p><br><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Inbound Marketer – Remote Position Type: Full-Time, Remote Working Hours: U.<br>S. Business Hours Location: Remote (Middle East Preferred) About the Role At Pavago, one of our clients is hiring an Inbound Marketer to build scalable inbound marketing systems that generate qualified pipeline through content, SEO, and conversion optimization.<br> This is far more than a traditional SEO role.<br> You’ll create high-quality content, improve search visibility, develop lead magnets, optimize conversion paths, and distribute content across the right channels to drive awareness, demand, and measurable business growth.<br> You’ll work closely with leadership and marketing teams to build inbound engines that turn content into qualified leads—not just traffic.<br> If you understand how search, content, buyer psychology, and conversion work together, and enjoy creating marketing assets that generate real business results, this role is a strong fit.<br> What You’ll Own Content Creation &amp; SEO Create high-quality, value-driven content that educates prospects and builds authority.<br> Write SEO-optimized: Blog articles Landing pages Website copy Inbound marketing assets Develop content aligned with search intent, buyer journey stages, and conversion goals.<br> Optimize content for: Traditional search engines AI-powered search experiences Featured snippets and AI summaries Continuously improve existing content based on rankings and performance data.<br> Inbound Marketing Execute inbound marketing initiatives across: SEO Content marketing Lead magnets Website conversion paths Social content distribution Build systems that connect: Content Engagement Lead generation Conversion Support distribution through: LinkedIn X Newsletters Other relevant marketing channels Collaborate on website and landing page optimization initiatives.<br> Lead Magnets &amp; Conversion Assets Develop: Guides Playbooks Checklists Downloadable resources Write conversion-focused: CTAs Landing pages Thank-you pages Nurture content Improve conversion rates through stronger messaging and positioning.<br> Support ongoing inbound funnel optimization.<br> Research &amp; Content Strategy Research: Industries Competitors Buyer pain points Search opportunities Identify content gaps and inbound growth opportunities.<br> Develop compelling content ideas backed by research.<br> Stay current on: SEO best practices AI-powered search Content marketing Distribution strategies Analytics &amp; Optimization Monitor performance using: Google Analytics 4 (GA4) Google Search Console SEMrush Ahrefs Analyze: Rankings Organic traffic Engagement Conversions Optimize content based on measurable performance.<br> Provide recommendations that improve inbound marketing results.<br> What Success Looks Like Consistent growth in qualified inbound leads.<br> Higher organic search visibility and rankings.<br> Increased landing page and lead magnet conversion rates.<br> High-performing, valuable content assets.<br> Strong contribution to pipeline from inbound channels.<br> Consistent delivery of high-quality inbound marketing initiatives.<br> What Makes You a Strong Fit You understand that inbound marketing creates demand—not just content.<br> You write content that educates, engages, and converts.<br> You understand SEO, AI-powered search, and modern buyer behavior.<br> You balance strategic thinking with hands-on execution.<br> You continuously improve performance using analytics and data.<br> You stay organized while managing multiple marketing initiatives.<br> Required Experience &amp; Skills Experience Proven experience in: Inbound Marketing Content Marketing SEO Content Writing Strong understanding of: SEO Search intent Inbound funnel strategy Experience using: Google Search Console Google Analytics 4 (GA4) SEMrush Ahrefs Excellent written English and storytelling skills.<br> Experience creating conversion-focused marketing content.<br> Strong research and analytical abilities.<br> Portfolio showcasing inbound or SEO-driven content.<br> Nice to Have Agency or B2B marketing experience.<br> Experience building and promoting lead magnets.<br> Familiarity with LinkedIn content distribution.<br> Understanding of AI-powered search optimization.<br> Experience improving website conversion rates and inbound lead generation.<br> Tech Stack Google Analytics 4 (GA4) Google Search Console SEMrush Ahrefs LinkedIn ChatGPT AI Writing &amp; Research Tools What a Typical Day Looks Like Write and optimize blogs, landing pages, and website content.<br> Research search trends, competitors, and keyword opportunities.<br> Build lead magnets and conversion-focused assets.<br> Review SEO and content performance data.<br> Optimize existing content based on rankings and analytics.<br> Collaborate with marketing teams on inbound campaigns.<br> Improve inbound funnels and content distribution strategies.<br> In short: You’ll build inbound marketing systems that turn valuable content, search visibility, and conversion optimization into qualified pipeline and measurable business growth.<br> Key Metrics for Success (KPIs) Growth in organic traffic.<br> Qualified inbound leads generated.<br> Improved keyword rankings and search visibility.<br> Landing page and lead magnet conversion rates.<br> Engagement and performance of inbound content.<br> Pipeline contribution from inbound marketing.<br> Consistent execution of high-quality inbound campaigns.<br> Why This Role Stands Out Direct ownership of inbound marketing strategy and execution.<br> Opportunity to build scalable content and demand generation systems.<br> Work across: SEO Content Marketing AI Search Optimization Lead Generation Conversion Optimization Fully remote role with long-term growth opportunities.<br> Career progression into: Senior Inbound Marketer Content Marketing Manager SEO Manager Demand Generation Manager Growth Marketing Lead Interview Process Application Review Spark Hire Intro Video (3–5 minutes) Practical Inbound Marketing Assessment Client Interview Offer &amp; Onboarding What Happens After You Apply After submitting your application, you’ll receive an email invitation from Spark Hire to record a short 3–5 minute Intro Video .<br> This is the first step in our hiring process and can be completed whenever it’s convenient for you.<br> Instead of multiple initial screening calls, you’ll have one opportunity to introduce yourself, discuss your experience with inbound marketing, SEO, content creation, lead generation, and conversion optimization.<br> You’ll also have the opportunity to highlight campaigns you’ve worked on, how you’ve improved organic growth, and how you’ve used AI tools to enhance content creation, research, and marketing workflows.<br> Your video will be reviewed by the hiring team before moving to the practical assessment and client interview.<br> You can record your video as many times as you’d like before submitting it—only your final version will be reviewed.<br> Please keep an eye on both your inbox and spam folder for your Spark Hire invitation after applying.<br> Apply Now If you’re passionate about building inbound marketing systems, creating high-impact content, and turning search traffic into qualified pipeline, we’d love to hear from you.<br> Apply today and help drive measurable business growth through modern inbound marketing.<br></span> </div>