UI developer Jobs

<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><\/p><p><\/p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul> <li><br></li></ul> <p> </p> <p> <strong>JOB CONTEXT:</strong> </p> <p>HI Palestine is currently operating as a stand-alone program under the authority of the Emergency Division, with a dedicated governance framework adapted to the scale and complexity of the crisis. This arrangement, confirmed until the end of 2026, is intended to provide the structural flexibility and operational responsiveness required in the current context, while also anticipating and preparing for a transfer back to Mashreq Programme (regional office).</p> <p>The mission's operational strategy relies on 4 pillars: Health (Rehabilitation and P&amp;O), Armed Violence Reduction, Atlas Logistics, and Inclusive Education. Cross-cutting components include IHA, MHPSS, Protection Mainstreaming, and DGA. </p> <p>Women, men, girls and boys with disabilities in the West Bank and Gaza Strip have been disproportionately impacted by the recurrent escalations and unprecedented humanitarian crisis. People with disabilities face significant needs and complex barriers to accessing humanitarian services and assistance across sectors of intervention.</p> <p> </p> YOUR MISSION <p>MHPSS is a core component of HI s intervention in Palestine. MHPSS is systematically integrated into HI s health activities, including rehabilitation and P&amp;O, as well as into its education interventions. In this context, the MHPSS Specialist plays a key role in ensuring the technical quality, coherence, and coordination of MHPSS activities across the programme. </p> <p>As activities continue to expand in the WB, the position will also support the harmonization of approaches, tools, and processes between Gaza and the WB, ensuring consistency in programme implementation. </p> <p>Finally, with the programme expected to transition to the regional office in the coming months, the MHPSS Specialist will contribute to preparing and supporting this transition, ensuring continuity of technical leadership and knowledge transfer.</p> <p> </p> <p>Under the management of the Technical Head of Program (THoP) the MHPSS Specialist in Palestine (based in Amman, Jordan) continues the support and technical leadership for the MHPSS sector. The MHPSS Specialist will ensure continuity and training and technically support MHPSS teams, while ensuring the quality, consistency, and integration of MHPSS across interventions and multidisciplinary health and education programmes. The position will also support the harmonization of approaches between Gaza and the West Bank and contribute to preparing the programme's transition to the regional structure.</p> <p>The MHPSS Specialist will have strong interactions with Internally: Area Manager, Project Managers, Technical officers, Officers, Specialists, MEAL department, Operations Manager, Grants Manager and externally: partners, local authorities, health structures, health NGOs.</p> <p> </p> <p>The MHPSS Specialist will report to the THoP, will have a technical management from the MHPSS Global Specialist and will have the functionnal management of the MHPSS teams in Gaza and West Bank.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p> <strong>YOUR PROFILE:</strong> </p> <ul> <li>At least least 5 years of overall professional experience in the field of MHPSS including a minimum of 3 years experience in emergency response in conflict affected countries.</li> <li>You hold a Master degree in psychology, preferably in clinical psychology, or a related field is required.</li> <li>Training in evidence-based therapeutic approaches for trauma, stress, and mental health issues in emergency contexts.</li> <li>Comprehensive knowledge of the IASC Mental Health and Psychosocial Support in Emergency Settings guidelines and associated documents.</li> <li>Experience in conducting multi-sectorial assessments is required</li> <li>Strong interpersonal and intercultural skills required;</li> <li>Fluency in oral and written English is compulsory;</li> <li>Arabic skills are a strong asset;</li> </ul> <p>The position is open at both international and national levels. If you are Jordanian, you will benefit from a national contract with the local package.</p> <p> </p> <p>International contract:</p> <p><br></p><ul><ul> </ul> </ul><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 $150/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><\/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 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 Effort estimate Tasks for this project are estimated to take 20 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 $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"> <p><b>Job Requisition ID #</b></p><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>26WD99896<p>The Account Based Renewals Rep&nbsp;independently manages time and tasks to handle multiple renewal cycles, engaging in communication and negotiation activities with moderate guidance.</p><br><p>The role supports customer satisfaction by identifying and addressing customer needs, provides light touch partner support, monitors churn risks, and ensures accurate and timely renewal execution.</p><br><p>They leverage CRM systems to automate workflows and flag exceptions within established guidelines.<br><b>Key Responsibilities</b><br><i>Execute End to End Renewal Motions</i><br>• Independently execute full renewal workflows for assigned accounts.<br><i>Close Renewals</i><br>• Defend existing customer base by ensuring timely and accurate renewal execution with moderate guidance.<br><i>Drive and Close Seat Expansions</i><br>• Identify and close seat expansion opportunities (additional licenses across existing buyers, teams, or personas) using standard playbooks during renewal.<br><i>Monitor Auto Renewal Status</i><br>• Intervene when auto renewals are disabled to prevent churn, applying judgment within well defined guidelines.<br><i>Customer Procurement Interaction</i><br>• Work directly with customer procurement teams to ensure seamless renewal execution, operating with general instruction on routine tasks.<br><b>Skills &amp; Competencies</b><br>• <i>Organizational &amp; Time Management:</i> Manages multiple renewal cycles independently, with moderate guidance.<br>• <i>Customer First Mindset: </i>Identifies and addresses customer needs to drive satisfaction.<br>• <i>Communication: </i>Engages customers using clear, effective communication to secure renewals.<br>•<i> Negotiation: </i>Applies basic negotiation techniques to achieve mutual agreement on renewals.<br>• <i>CRM &amp; Workflow Systems: </i>Utilizes CRM systems to automate workflows and flag exceptions.<br><b>ATU (Account Team Unit) Collaboration</b><br>• <i>Expansion Qualification:</i> Engages Account Executives for larger cross sell or expansion opportunities with moderate guidance.<br>• <i>Customer Success Collaboration: </i>Provides light touch coordination with Customer Success Managers to support retention and adoption.<br>• <i>Partner Engagement:</i> Supports partners where applicable, following general instructions.<br>• <i>Share Insights:</i> Communicates churn risks, blockers, and missed upsell signals across teams and geographies.<br>• <i>Feedback Loop:</i> Provides feedback on product experiences and packaging based on customer insights.<br><b>Required Qualifications</b><br>• 2–3 years of experience in renewals, account management, customer success, inside sales, or a similar customer facing role.<br>• Experience managing renewal cycles or recurring revenue motions.<br>• Strong communication skills with the ability to influence customer decisions.<br>• Foundational negotiation skills with the ability to secure renewals or basic expansions.<br>• Ability to manage multiple concurrent workflows and adhere to renewal timelines.<br>• Proficiency using CRM systems and basic workflow automation.<br><b>Preferred Qualifications</b><br>• Experience working in SaaS, subscription licensing, or recurring revenue commercial environments.<br>• Familiarity with procurement processes or vendor customer negotiation cycles.<br>• Exposure to partner led or channel supported sales motions.<br>• Experience identifying churn risks or upsell signals through customer conversations or data.<br>• Working knowledge of forecasting renewals or using dashboards for revenue tracking.<br>• Experience coordinating across sales, customer success, and partner teams.</p><br><p><span><b><b>Learn More</b></b></span></p><br><p><b><span>About Autodesk</span></b></p><br><p><span>Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.</span></p><br><p><span>We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.</span></p><br><p><span>When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!</span></p><br><p><b><span>Salary transparency</span></b></p><br>Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.<br><p><b>Belonging</b><br>We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: <span><u>https://www.autodesk.com/company/global-belonging</u></span></p><br><p><b>Are you an existing contractor or consultant with Autodesk? </b></p><br><p>Please search for open jobs and apply internally (not on this external site).</p><br> </div>

<p><strong>Position Summary:</strong> The Microsoft Dynamics 365 Finance &amp; Operations (D365 F&amp;O) Administrator is responsible for managing, maintaining, developing, and optimizing the organization's Microsoft Dynamics 365 Finance &amp; Operations ERP platform. This role works closely with Finance and other business departments to ensure the ERP system supports operational and financial objectives through system enhancements, automation, reporting, integrations, and user support. The successful candidate will have extensive experience with Microsoft Dynamics 365 Finance &amp; Operations, Microsoft Power Platform, Power BI, Azure, and ERP system administration. The role also requires strong analytical, documentation, and stakeholder management skills to deliver scalable business solutions. <strong>Key Responsibilities:</strong> <strong>ERP Administration</strong> Administer and maintain Microsoft Dynamics 365 Finance &amp; Operations. Configure system settings, workflows, security roles, and business processes. Manage application updates, patches, and new feature deployments. Ensure system performance, availability, and data integrity. <strong>Business Analysis &amp; Solution Design</strong> Collaborate with business departments to gather requirements. Translate business needs into functional specifications. Recommend system improvements aligned with business objectives and industry best practices. Evaluate and optimize financial processes, including month-end close and consolidation. <strong>Development &amp; Continuous Improvement</strong> Design and implement process improvements within D365 F&amp;O. Automate manual processes and streamline operational workflows. Identify opportunities for increased ERP utilization and efficiency. Test new Microsoft features and business application functionality. <strong>Reporting &amp; Analytics</strong> Develop and maintain reports using Power BI and D365 reporting tools. Automate recurring reports and dashboards. Support management with accurate operational and financial reporting. <strong>Integration Management</strong> Support integrations between D365 F&amp;O and other enterprise applications. Coordinate with technical teams and external vendors to ensure seamless data exchange. Monitor and troubleshoot integration issues. <strong>Change &amp; Release Management</strong> Manage application changes following established change control procedures. Coordinate testing, deployment, and validation of new configurations. Maintain documentation for changes, configurations, and security updates. <strong>User Support &amp; Training</strong> Respond to D365 helpdesk tickets and provide user support. Troubleshoot system issues and coordinate resolutions. Create user guides, training materials, and technical documentation. Conduct knowledge transfer sessions for business users. Produce and maintain: Business process documentation Functional specifications Technical specifications Solution designs Configuration documentation Security protocols Training materials Report specifications <strong>Internal &amp; External Relationships:</strong> <strong>Internal:</strong> Executive Leadership Finance Department Business Managers IT Team End Users <strong>External:</strong> Microsoft Dynamics 365 Implementation Partner (VAR) Third-party vendors Technology consultants</p><p><strong>Desired Candidate Profile</strong></p><p><strong>Required Qualifications:</strong> Bachelor's degree in information systems, Computer Science, Business Information Technology, or a related discipline. <strong>Experience:</strong> 2 4 years of experience in ERP administration or business systems. Extensive hands-on experience with Microsoft Dynamics 365 Finance &amp; Operations. Experience implementing ERP enhancements and process improvements. Experience supporting enterprise business applications. <strong>Technical Skills:</strong> Microsoft Dynamics 365 Finance &amp; Operations (F&amp;O) Microsoft Power BI Microsoft Power Platform Microsoft Azure SQL/SQL Server Microsoft Excel Microsoft Word Microsoft PowerPoint ERP reporting tools Business process automation Data integration Security and user role administration <strong>Preferred Qualifications:</strong> Knowledge of Generally Accepted Accounting Principles (GAAP). Experience working in Finance or Accounting environments. Experience with ERP implementation projects. Familiarity with software development lifecycle (SDLC) and change management. Experience working with project teams and cross-functional initiatives.</p>

<p>Verify and audit daily revenue postings from the PMS and POS systems (rooms, F&amp;B, spa, and other outlets) for accuracy and completeness. Reconcile daily revenue reports against cashier summaries, folios, and actual settlements (cash, credit card, city ledger). Reconcile cash clearance and accounts receivable clearance accounts on a regular basis. Reconcile market segment postings and statistical records against system and production reports. Review rate discrepancies, adjustments, allowances, rebates, voids, and complimentary rooms, ensuring proper approval and supporting documentation. Review complimentary rooms, zero-rated rooms, and house-use rooms, ensuring proper approval is obtained and documented in every case. Review room moves, housekeeping discrepancies, and reservation cancellations and creations for accuracy and completeness. Prepare and distribute the Daily Revenue (Flash) Report to the Director of Finance and hotel leadership. Ensure revenue is recorded in the correct accounting period and posted to the appropriate general ledger accounts. Review and follow up on long-stay rate postings, contract renewals, and expirations. Calculate upselling revenue and commissions for payroll processing purposes. Monitor compliance with internal control policies, SOPs, and audit requirements relating to revenue and cash handling. Review user and system log activity to ensure no compliance leaks or unauthorized transactions. Investigate variances or irregularities and escalate findings to the Director of Finance as needed. Support month-end closing by ensuring all revenue schedules are complete, accurate, and properly documented. Maintain and monitor the accounts receivable (city ledger) sub-ledger, ensuring accurate and timely billing to credit account holders. Prepare and dispatch invoices to corporate clients, travel agents, and other credit accounts, with correct supporting documentation. Follow up proactively on outstanding balances and ensure collections are made within agreed credit terms. Prepare pro-forma invoices for cash-basis accounts at least 24 hours in advance. Review cash-basis accounts regularly and confirm collection of payments. Reconcile the accounts receivable sub-ledger to the general ledger on a monthly basis. Monitor credit limits and flag accounts approaching or exceeding approved terms to the Director of Finance. Prepare aging reports and highlight overdue accounts during monthly credit meetings. Work closely with Sales, Front Office, and other departments to resolve billing disputes and discrepancies promptly. Process new credit account applications in coordination with the Director of Finance. Support month-end closing activities related to accounts receivable, including provisions for doubtful debts.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Accounting, Finance, or a related field.</li><li>Minimum 3 years of experience in hotel income audit and/or accounts receivable, preferably with an international hospitality brand.</li><li>Solid understanding of hotel accounting systems (e.g., Opera PMS, POS systems) and general ledger principles.</li><li>Strong knowledge of hotel revenue cycles and internal control frameworks.</li><li>High attention to detail and accuracy in financial reporting.</li><li>Strong analytical, reconciliation, and problem-solving skills.</li><li>Proficient in Microsoft Excel and hotel accounting/ERP systems.</li><li>Effective communication skills for liaising across departments, clients, and travel agents.</li><li>Able to work independently, prioritize, and meet deadlines in a fast-paced environment.</li><li>High level of integrity, discretion, and confidentiality with financial information.</li><li>Fluent in English; Arabic is an advantage.</li></ul><p>JOINING OUR TEAM MEANS</p><ul><li>Competitive Compensation : A rewarding package tailored to your experience.</li><li>Career Growth : Opportunities for advancement within our dynamic organisation.</li><li>Inclusive Environment : A vibrant and inclusive workplace that encourages collaboration.</li><li>Shared Purpose: Working with passionate people who live our values every day connecting, innovating, curating, and leading the way together.</li></ul><p>Apply CRAFT YOUR CAREER.</p>

<p><h4>Description</h4> <p>Joining the Business Analytics team to lead requirements engineering across government services and digital transformation programs. The role translates government business needs into structured, build-ready backlogs, models end-to-end processes, and uses AI tools to accelerate analysis and documentation while maintaining quality and data-sensitivity discipline.</p> <h4>Requirements</h4> <h4>Key Responsibilities</h4> <ul> <li>Lead end-to-end requirements elicitation, analysis, and documentation for government eServices and digital transformation initiatives.</li> <li>Produce high-quality BRDs, user stories/PBIs with clear acceptance criteria, BPMN 2.0 process models, and full traceability for Azure DevOps delivery.</li> <li>Facilitate workshops with government stakeholders, resolve conflicting requirements, and obtain formal sign-offs.</li> <li>Map as-is/to-be processes; identify dependencies, edge cases, and non-functional requirements (security, privacy, audit, performance).</li> <li>Apply AI tools (LLMs, prompt engineering, AI-assisted documentation) to speed up analysis and drafting, with sound judgment on validation and sensitive government data.</li> <li>Support UAT, bridge business and technical teams, and ensure delivered solutions meet business objectives.</li> <li>Mentor junior Business Analysts and uphold the team’s BA methodology and standards.</li> </ul> <h4>Required Qualifications & Experience</h4> <ul> <li>Bachelor’s degree in Computer Science, IT, Business, or a related field; CBAP (or equivalent BA certification) strongly preferred.</li> <li>6+ years of hands-on Business Analysis experience, with a strong track record in government/public-sector digital services in the UAE/GCC.</li> <li>Proven greenfield requirements experience — not limited to ERP configuration or pre-sales.</li> </ul> <h4>Required Skills</h4> <ul> <li>Strong requirements elicitation, analysis, and structured documentation (BRD, user stories, acceptance criteria).</li> <li>Process modelling: BPMN 2.0, swimlanes, as-is/to-be (Visio, Lucidchart, Camunda, or draw.io).</li> <li>Backlog management and Agile delivery with Azure DevOps (or Jira).</li> <li>Excellent stakeholder management, facilitation, and bilingual communication (Arabic & English).</li> <li>Hands-on AI proficiency: prompt engineering and AI-assisted analysis/documentation, with disciplined validation and data-sensitivity judgment.</li> <li>Familiarity with eServices, digital-government standards, and the UAE government context.</li> </ul> <h4>Preferred (nice to have)</h4> <ul> <li>Experience with ECM/document management, omni-channel service delivery, and UAE PASS integration.</li> <li>Wireframing/prototyping (Figma) and basic data/BI awareness (Power BI).</li> </ul></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 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 Effort estimate Tasks for this project are estimated to take 20 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 $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\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>5+ 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 20 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 $50\/hr equivalent, depending on level and pace. Tasks are estimated at ~20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\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>5+ 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 20 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 $50\/hr equivalent, depending on level and pace. Tasks are estimated at ~20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\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>5+ 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 20 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 $50\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\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>5+ 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 20 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 $50\/hr equivalent, depending on level and pace. Tasks are estimated at ~20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\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>5+ 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 20 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 $50\/hr equivalent, depending on level and pace. Tasks are estimated at ~20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\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>5+ 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 20 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 $50\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\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>5+ 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 20 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 $50\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\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>5+ 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 \u2192 Pass qualification(s) \u2192 Join a project \u2192 Complete tasks \u2192 Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 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 $50\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\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>5+ 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 \u2192 Pass qualification(s) \u2192 Join a project \u2192 Complete tasks \u2192 Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 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 $50\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 20 hours each; you set your own schedule.<\/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: 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 $150/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>