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<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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br>Company Description<br><br><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.</p><br><p>Take the opportunity to become a Heartist®, and let your heart guide you in this world where life beats faster.</p><br><br>Job Description<br><br><p>Key Interactions</p><br><p>Key Responsibilities</p><br><p>• Welcome children and their families in a warm and friendly manner.&nbsp;</p><br><p>• Supervise children at all times to ensure their safety and well-being.&nbsp;</p><br><p>• Plan, organize, and lead recreational, educational, and creative activities.&nbsp;</p><br><p>• Maintain a clean, safe, and organized Kids Club environment.&nbsp;</p><br><p>• Follow hotel policies, child protection procedures, and health and safety standards.&nbsp;</p><br><p>• Assist with arts and crafts, games, sports, storytelling, and themed events.&nbsp;</p><br><p>• Report incidents, accidents, or concerns promptly to the supervisor.&nbsp;</p><br><p>• Build positive relationships with children and parents.&nbsp;</p><br><p>• Ensure all equipment and toys are clean, safe, and in good condition.&nbsp;</p><br><p>• Support special events, birthday parties, and holiday programs as required.&nbsp;</p><br><p>• Maintain attendance records and obtain required parental consent where applicable.&nbsp;</p><br><p>Qualifications</p><br><p>• High school diploma or equivalent.&nbsp;</p><br><p>• Previous experience working with children in hospitality, childcare, education, or recreation is preferred.&nbsp;</p><br><p>• First Aid and CPR certification is an advantage.&nbsp;</p><br><p>• Strong communication and interpersonal skills.&nbsp;</p><br><p>• Energetic, patient, creative, and enthusiastic personality.&nbsp;</p><br><p>• Ability to work flexible hours, including weekends and holidays.&nbsp;</p><br><p>• Good command of English; additional languages are an advantage.&nbsp;</p><br><p>Skills &amp; Competencies</p><br><p>• Child supervision and care&nbsp;</p><br><p>• Guest service excellence&nbsp;</p><br><p>• Teamwork&nbsp;</p><br><p>• Communication skills&nbsp;</p><br><p>• Creativity and activity planning&nbsp;</p><br><p>• Problem-solving&nbsp;</p><br><p>• Attention to safety&nbsp;</p><br><p>• Time management&nbsp;</p><br><p>Physical Requirements</p><br><p>• Ability to stand and walk for extended periods.&nbsp;</p><br><p>• Ability to participate in physical activities and games with children.&nbsp;</p><br><p>• Ability to lift and move activity equipment when necessary.</p><br><br>Additional Information<br><br><p>Your team and working environment:<br>In 1-2 sentences, introduce the team, property or office environment in a way that reflects the culture<br>Note: Customization may be included for any specific local or legislative requirements, such as work permits<br>Our commitment to Diversity &amp; Inclusion:<br>We are an inclusive company and our ambition is to attract, recruit and promote diverse talent.</p><br> </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 While each project involves unique tasks, contributors may: Design and evaluate rule application scenarios — reading a compliance artifact (advertisement, disclosure, policy) against a specific regulation and citing the exact subsection that applies or is violated; Write sanctions alert disposition cases with structured false-positive reasoning documentation and escalation scenarios; Build compliance testing scenarios: sample selection, test design, findings documentation, and examiner-ready conclusion memos; Develop policy gap identification cases where an internal policy is silent on a regulatory requirement, contradicts the regulation, or has not been updated to reflect a recent change; Document all test cases with verified regulatory citations to the specific subsection — never approximated, never fabricated.<br> What we look for This opportunity is a good fit for professionals with a background in compliance, regulatory affairs, legal services, or broader financial services who are open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Law, Finance, Economics, Business Administration, Accounting, or any related field; 2+ years of compliance, audit, legal, risk management, or financial services experience; Current or recent experience in compliance &amp; regulatory roles, financial crimes, or adjacent roles; Citation discipline as a core habit — able to identify the exact regulatory subsection that applies and flag uncertainty rather than approximate; CRCM, CAMS, or equivalent local credential is a strong positive signal; former regulatory examiner or inspector status is equally strong; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $50 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<p><h4>Description</h4> <p>A leading global pharmaceutical company is seeking a Director, Data & Analytics to take ownership of the strategy, architecture, delivery, and operational performance of its Data & Analytics function. This is a hands-on leadership role overseeing the enterprise data platform, the data products the business relies on, and the team behind them, setting technical direction, delivery standards, and investment priorities while staying personally engaged in key architecture and design decisions. The ideal candidate combines strong technical credibility with senior leadership experience, and will be directly accountable for making the platform AI-ready, ensuring data is governed, traceable, and model-grade to support regulated AI deployment.</p> <h4>Responsibilities:</h4> <p><strong>1. Platform architecture & engineering leadership:</strong><br> Own the enterprise data platform, Azure Data Lake Storage Gen2, Databricks lakehouse (Medallion architecture), Power BI, and Unity Catalog, ensuring it is architecturally sound, standardized, reliable, and engineered to scale.<br> Set and enforce platform engineering standards: ingestion patterns, transformation conventions, Medallion layer contracts, data quality gates, Bronze-to-Gold promotion criteria, and the CI/CD framework that delivers all of it.<br> Own the Unity Catalog governance model, RBAC, lineage, business glossary, and metric definitions, as the platform-enforced foundation for trusted data.<br> Drive the platform roadmap from current state to target, sequencing technical debt remediation, new capability build-out, and platform readiness for downstream AI and analytics demand.<br> Personally lead design reviews and architecture decisions for the platform, engaging directly with the engineering team on complex technical problems where senior technical judgment is required.<br> Own data platform observability and operational excellence, pipeline reliability, SLA adherence, incident response, and data quality monitoring.</p> <p><strong>2. Delivery & data products:</strong><br> Run the D&A delivery programme, from source ingestion and pipeline engineering through to analytics, semantic layer, and data product delivery for business functions.<br> Set and enforce delivery standards: sprint cadence, code review, documentation, testing, validation, and release management practices that govern all team output.<br> Define and own data SLAs to the business, pipeline refresh frequency, availability, and incident response commitments, and ensure delivery is held against them.<br> Own the data integration roadmap, prioritising ingestion of new source systems into the lake in alignment with business demand and platform readiness.<br> Manage complex integration challenges across source systems, engaging directly on technical constraints, working with upstream owners, and designing solutions that align data latency and refresh frequency with business needs.<br> Own the portfolio of data products, datasets, semantic models, and analytics deliverables, ensuring each is documented, well-understood, and fit for the business question it answers.<br> Define and own the standard for what a Gold-layer data product must satisfy to be AI-ready, distinguishing analytics-grade from model-training-grade, with explicit criteria covering completeness, label integrity, statistical consistency, and lineage traceability.</p> <p><strong>3. Data governance & quality:</strong><br> Design and operate the data governance operating model, data ownership, stewardship, quality standards, business glossary, and metric definitions.<br> Embed data quality gates into Medallion layer promotion, making quality a precondition of Bronze-to-Gold progression, with measurable thresholds and clear remediation paths.<br> Own data lineage visibility across the platform so business users can trace the provenance of every number they rely on, end-to-end from source to dashboard.<br> Lead the technical evaluation, selection, and implementation of enterprise data catalogue tooling, including integration with Unity Catalog and the platform metadata layer.<br> Embed appropriate data handling, validation, and audit-trail practices for regulated data domains, partnering with Quality, Regulatory, and Legal to ensure compliance requirements are met by design.<br> Establish data quality measurement as a managed practice, KPIs, dashboards, periodic review, and accountability with data owners.<br> Establish data lineage and provenance practices that satisfy AI explainability and regulatory auditability requirements, including GxP-compliant audit trails for Quality, Manufacturing, and Regulatory AI use cases.</p> <p><strong>4. Team leadership & capability development:</strong><br> Lead, hire, and develop the D&A team, Data Engineers, Analytics Engineers, BI Developers, and Business Analysts, sequencing hires in alignment with the platform roadmap and delivery demand.<br> Define and evolve the role design, skills profile, and career framework for the team within the broader Data & AI CoE structure.<br> Set the team's performance culture: clear ownership, high engineering standards, fast feedback, continuous learning, and documentation as a team discipline.<br> Coach and develop team members directly, identifying high-potential individuals, investing in their technical and leadership growth, and building bench strength across roles.<br> Manage team capacity and allocation across the platform roadmap and business delivery demand, ensuring focus stays on high-value work aligned to strategic priorities.<br> Set the engineering craft culture, code review, design review, pairing, and shared technical standards, that lifts the technical quality of all team output.</p> <p><strong>5. Business partnership & vendor engagement:</strong><br> Serve as the senior D&A point of contact for business function leadership, translating business data needs into platform and delivery priorities.<br> Build credibility with business stakeholders through reliable, consistent delivery, data products that are well-understood, well-documented, and match business expectations.<br> Communicate proactively on platform status, delivery commitments, risks, and trade-offs, ensuring stakeholders have a current view and surfacing issues early.<br> Represent D&A in cross-functional planning forums, ensuring the data foundation perspective is present in enterprise architecture, application, and AI investment decisions.<br> Manage operational vendor and partner relationships for the data platform, Databricks, Microsoft Azure, Power BI, and implementation or augmentation partners.</p> <h4>Requirements</h4> <p>Bachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, or related discipline.<br> Master's degree in Data Science, Computer Science, Business Administration, or related field is preferred.<br> Relevant certifications in cloud data platforms (e.g., Azure Data Engineer, Databricks Certified Data Engineer Professional) are preferred.<br> Minimum 10 years of progressive experience in data engineering, data platform, or enterprise analytics roles.<br> Minimum 5 years in a senior leadership role with direct team management accountability, hiring, developing, and performance managing a multi-disciplinary technical team.<br> Proven hands-on production experience with Databricks (Delta Lake, Unity Catalog) and Azure data services at platform-design and engineering-lead level.<br> Proven track record building or substantially remediating a cloud-native data platform in a complex, multi-source enterprise environment.<br> Experience with Medallion/lakehouse architecture patterns in production.<br> Experience designing data products and platform capabilities for AI/ML consumption, including Feature Store design, training dataset engineering, and ML data lineage is preferred.<br> Experience working at the interface of a data platform team and an AI/ML team, translating model requirements into data infrastructure specifications and owning the data readiness handoff is preferred.<br> Experience leading a data governance or catalogue implementation, from design through to business adoption.<br> Life sciences, pharmaceutical, or other regulated industry experience is preferred.</p> <h4>Skills:</h4> <p><strong>Technical competencies:</strong><br> Data platform architecture<br> Data engineering, pipeline design & CDC patterns<br> Data modelling, transformation & engineering standards<br> Data governance, quality & catalogue<br> Analytics & BI delivery<br> MLOps & ML platform foundations<br> Delivery management & agile methods</p> <p><strong>Platform & technical skills:</strong><br> Deep practical expertise in Azure data services: ADLS Gen2, Azure Data Factory, Azure DevOps.<br> Hands-on production experience with Databricks, Delta Lake, notebooks, Unity Catalog, MLflow.<br> Strong understanding of incremental load and CDC patterns across enterprise source systems (SAP, Veeva, SuccessFactors, and similar).<br> Power BI at the semantic layer level, understanding how the semantic layer should be designed for enterprise scale.<br> CI/CD for data pipelines, practical implementation at production scale.<br> Data quality frameworks, profiling, expectation testing, alerting, and remediation workflows.<br> Working knowledge of modern data governance tooling: Unity Catalog, Collibra, Purview, or DataHub.</p> <p><strong>Leadership & business skills:</strong><br> Credible with both technical teams and senior business stakeholders.<br> Strong delivery discipline, owns commitments, communicates risks early, and sizes work realistically.<br> Structured thinker, able to take a complex current state and produce a clear, prioritised, sequenced roadmap.<br> Strong written and verbal communication in English; Arabic proficiency valued.<br> Cultural intelligence for working effectively across MENA, US, and Europe.</p></p><p></p>

<p><h4>Description</h4> <p>A leading global pharmaceutical company is seeking a Director, Data & Analytics to take ownership of the strategy, architecture, delivery, and operational performance of its Data & Analytics function. This is a hands-on leadership role overseeing the enterprise data platform, the data products the business relies on, and the team behind them, setting technical direction, delivery standards, and investment priorities while staying personally engaged in key architecture and design decisions. The ideal candidate combines strong technical credibility with senior leadership experience, and will be directly accountable for making the platform AI-ready, ensuring data is governed, traceable, and model-grade to support regulated AI deployment.</p> <h4>Responsibilities:</h4> <p><strong>1. Platform architecture & engineering leadership:</strong><br> Own the enterprise data platform, Azure Data Lake Storage Gen2, Databricks lakehouse (Medallion architecture), Power BI, and Unity Catalog, ensuring it is architecturally sound, standardized, reliable, and engineered to scale.<br> Set and enforce platform engineering standards: ingestion patterns, transformation conventions, Medallion layer contracts, data quality gates, Bronze-to-Gold promotion criteria, and the CI/CD framework that delivers all of it.<br> Own the Unity Catalog governance model, RBAC, lineage, business glossary, and metric definitions, as the platform-enforced foundation for trusted data.<br> Drive the platform roadmap from current state to target, sequencing technical debt remediation, new capability build-out, and platform readiness for downstream AI and analytics demand.<br> Personally lead design reviews and architecture decisions for the platform, engaging directly with the engineering team on complex technical problems where senior technical judgment is required.<br> Own data platform observability and operational excellence, pipeline reliability, SLA adherence, incident response, and data quality monitoring.</p> <p><strong>2. Delivery & data products:</strong><br> Run the D&A delivery programme, from source ingestion and pipeline engineering through to analytics, semantic layer, and data product delivery for business functions.<br> Set and enforce delivery standards: sprint cadence, code review, documentation, testing, validation, and release management practices that govern all team output.<br> Define and own data SLAs to the business, pipeline refresh frequency, availability, and incident response commitments, and ensure delivery is held against them.<br> Own the data integration roadmap, prioritising ingestion of new source systems into the lake in alignment with business demand and platform readiness.<br> Manage complex integration challenges across source systems, engaging directly on technical constraints, working with upstream owners, and designing solutions that align data latency and refresh frequency with business needs.<br> Own the portfolio of data products, datasets, semantic models, and analytics deliverables, ensuring each is documented, well-understood, and fit for the business question it answers.<br> Define and own the standard for what a Gold-layer data product must satisfy to be AI-ready, distinguishing analytics-grade from model-training-grade, with explicit criteria covering completeness, label integrity, statistical consistency, and lineage traceability.</p> <p><strong>3. Data governance & quality:</strong><br> Design and operate the data governance operating model, data ownership, stewardship, quality standards, business glossary, and metric definitions.<br> Embed data quality gates into Medallion layer promotion, making quality a precondition of Bronze-to-Gold progression, with measurable thresholds and clear remediation paths.<br> Own data lineage visibility across the platform so business users can trace the provenance of every number they rely on, end-to-end from source to dashboard.<br> Lead the technical evaluation, selection, and implementation of enterprise data catalogue tooling, including integration with Unity Catalog and the platform metadata layer.<br> Embed appropriate data handling, validation, and audit-trail practices for regulated data domains, partnering with Quality, Regulatory, and Legal to ensure compliance requirements are met by design.<br> Establish data quality measurement as a managed practice, KPIs, dashboards, periodic review, and accountability with data owners.<br> Establish data lineage and provenance practices that satisfy AI explainability and regulatory auditability requirements, including GxP-compliant audit trails for Quality, Manufacturing, and Regulatory AI use cases.</p> <p><strong>4. Team leadership & capability development:</strong><br> Lead, hire, and develop the D&A team, Data Engineers, Analytics Engineers, BI Developers, and Business Analysts, sequencing hires in alignment with the platform roadmap and delivery demand.<br> Define and evolve the role design, skills profile, and career framework for the team within the broader Data & AI CoE structure.<br> Set the team's performance culture: clear ownership, high engineering standards, fast feedback, continuous learning, and documentation as a team discipline.<br> Coach and develop team members directly, identifying high-potential individuals, investing in their technical and leadership growth, and building bench strength across roles.<br> Manage team capacity and allocation across the platform roadmap and business delivery demand, ensuring focus stays on high-value work aligned to strategic priorities.<br> Set the engineering craft culture, code review, design review, pairing, and shared technical standards, that lifts the technical quality of all team output.</p> <p><strong>5. Business partnership & vendor engagement:</strong><br> Serve as the senior D&A point of contact for business function leadership, translating business data needs into platform and delivery priorities.<br> Build credibility with business stakeholders through reliable, consistent delivery, data products that are well-understood, well-documented, and match business expectations.<br> Communicate proactively on platform status, delivery commitments, risks, and trade-offs, ensuring stakeholders have a current view and surfacing issues early.<br> Represent D&A in cross-functional planning forums, ensuring the data foundation perspective is present in enterprise architecture, application, and AI investment decisions.<br> Manage operational vendor and partner relationships for the data platform, Databricks, Microsoft Azure, Power BI, and implementation or augmentation partners.</p> <h4>Requirements</h4> <p>Bachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, or related discipline.<br> Master's degree in Data Science, Computer Science, Business Administration, or related field is preferred.<br> Relevant certifications in cloud data platforms (e.g., Azure Data Engineer, Databricks Certified Data Engineer Professional) are preferred.<br> Minimum 10 years of progressive experience in data engineering, data platform, or enterprise analytics roles.<br> Minimum 5 years in a senior leadership role with direct team management accountability, hiring, developing, and performance managing a multi-disciplinary technical team.<br> Proven hands-on production experience with Databricks (Delta Lake, Unity Catalog) and Azure data services at platform-design and engineering-lead level.<br> Proven track record building or substantially remediating a cloud-native data platform in a complex, multi-source enterprise environment.<br> Experience with Medallion/lakehouse architecture patterns in production.<br> Experience designing data products and platform capabilities for AI/ML consumption, including Feature Store design, training dataset engineering, and ML data lineage is preferred.<br> Experience working at the interface of a data platform team and an AI/ML team, translating model requirements into data infrastructure specifications and owning the data readiness handoff is preferred.<br> Experience leading a data governance or catalogue implementation, from design through to business adoption.<br> Life sciences, pharmaceutical, or other regulated industry experience is preferred.</p> <h4>Skills:</h4> <p><strong>Technical competencies:</strong><br> Data platform architecture<br> Data engineering, pipeline design & CDC patterns<br> Data modelling, transformation & engineering standards<br> Data governance, quality & catalogue<br> Analytics & BI delivery<br> MLOps & ML platform foundations<br> Delivery management & agile methods</p> <p><strong>Platform & technical skills:</strong><br> Deep practical expertise in Azure data services: ADLS Gen2, Azure Data Factory, Azure DevOps.<br> Hands-on production experience with Databricks, Delta Lake, notebooks, Unity Catalog, MLflow.<br> Strong understanding of incremental load and CDC patterns across enterprise source systems (SAP, Veeva, SuccessFactors, and similar).<br> Power BI at the semantic layer level, understanding how the semantic layer should be designed for enterprise scale.<br> CI/CD for data pipelines, practical implementation at production scale.<br> Data quality frameworks, profiling, expectation testing, alerting, and remediation workflows.<br> Working knowledge of modern data governance tooling: Unity Catalog, Collibra, Purview, or DataHub.</p> <p><strong>Leadership & business skills:</strong><br> Credible with both technical teams and senior business stakeholders.<br> Strong delivery discipline, owns commitments, communicates risks early, and sizes work realistically.<br> Structured thinker, able to take a complex current state and produce a clear, prioritised, sequenced roadmap.<br> Strong written and verbal communication in English; Arabic proficiency valued.<br> Cultural intelligence for working effectively across MENA, US, and Europe.</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 competitive-programming problems and their automatic graders (test cases + checkers) used to train advanced AI coding models.<br> You'll create problems, write both correct and deliberately-wrong solutions, and design the tough test cases that catch subtly-broken code.<br> Your work is what makes the training signal trustworthy.<br> To apply, share: your competitive-programming handle(s) + current/peak rating, any problem-setting experience, and IOI/ICPC/olympiad history.<br> What you'll do Write original algorithmic problems — clear statement, sound constraints, an intended solution; Write correct solutions in C++ and Python; Write realistic wrong solutions (common mistakes) to test against; Build and harden test cases: generators, edge cases, stress and "hacking" tests; Write checkers/interactors (testlib) for problems with more than one valid answer; Confirm the quality bar: correct solutions pass, wrong ones fail, within time limits.<br> What we look for Strong competitive programming background, shown by a public profile — a Codeforces rating (see levels below), OR an IOI / ICPC / national-olympiad record; Fluent contest C++ (STL, complexity); comfortable writing Python; Can explain why a solution is wrong and build an input that breaks it; Strong written English (C1+).<br> Levels (by Codeforces rating, or equivalent olympiad achievement): Associate — 1700–2100 (Expert / Candidate Master): easier problems; Expert — 2200–2600 (Master / Grandmaster): harder problems Senior / Reviewer — 2600+ (Int'l Grandmaster) or IOI/ICPC medalist: hardest problems + quality review.<br> Nice to have IOI / ICPC alumni and top competitive programmers especially encouraged to apply; Experience setting or testing problems for real contests (Codeforces rounds, ICPC, national olympiads, online judges); Testlib experience (checkers, validators, generators); Experience creating data for LLM code benchmarks or similar RL / evaluation datasets.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks.<br> Because payment is per task, a faster pace raises your effective hourly rate.<br></span> </div>

<p>SRD Center is seeking qualified Business Mentoring / Monitoring Practitioner to join a short-term consultancy assignment supporting agricultural micro and small enterprises, rural entrepreneurs, community-based organizations, and local communities in Jordan. The assignment aims to strengthen beneficiaries' capacities to establish, manage, expand and sustain viable agricultural and agri-business enterprises through practical business development support, training, coaching and follow-up. Tasks The Business Mentoring and Monitoring Practitioner will provide individualized advisory support and follow-up to beneficiaries during the establishment, development or expansion of their enterprises. Key responsibilities include: • Provide structured individual and/or small-group business mentoring. • Review beneficiaries' business plans, implementation progress and business challenges. • Support beneficiaries during the start-up or expansion of their businesses. • Identify business-management, operational, marketing and financial gaps. • Develop practical recommendations and corrective actions together with beneficiaries. • Assist beneficiaries in establishing realistic business milestones and action plans. • Monitor implementation of agreed business plans and recommendations. • Conduct regular field visits and follow-up sessions. • Track the progress and performance of supported enterprises. • Develop and use appropriate monitoring and follow-up tools. • Assess progress against agreed business milestones and performance indicators. • Identify enterprises requiring additional or specialized support. • Coordinate referrals to business development, packaging or marketing specialists when required. • Monitor challenges affecting business sustainability. • Document beneficiary progress, achievements, challenges and lessons learned. • Identify and document potential success stories and good practices. • Contribute to mentoring progress reports. • Contribute to the final assessment of supported businesses. • Participate in training evaluation and acquired-skills assessment where required. • Contribute to the final consultancy report and recommendations. The ToR specifically calls for individualized mentoring, business advisory support, identification of operational gaps, regular field visits and written monitoring reports.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>University degree, preferably an advanced degree, in Business Administration, Business Development, Agribusiness, Economics, Entrepreneurship, Rural Development or a related discipline.</li><li>Demonstrated professional experience in business mentoring, coaching and SME advisory services.</li><li>Experience supporting micro and small enterprises during start-up and/or business expansion.</li><li>Experience conducting business performance monitoring and structured follow-up.</li><li>Experience developing or applying business monitoring tools and indicators.</li><li>Strong understanding of business planning, financial management, marketing and operational management.</li><li>Experience working with agricultural SMEs, smallholder farmers, rural entrepreneurs, CBOs or cooperatives is highly desirable.</li><li>Experience supporting vulnerable populations, refugee/host communities or community-based livelihood programmes is an advantage.</li><li>Strong interpersonal, coaching and problem-solving skills.</li><li>Ability to work directly with entrepreneurs and translate identified challenges into practical actions.</li><li>Strong documentation and reporting skills.</li><li>Ability and willingness to conduct regular field visits in Balqa, Ajloun and Jerash.</li><li>Fluency in Arabic is required for beneficiary-facing activities.</li><li>Good English skills are desirable.</li></ul>

<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 competitive-programming problems and their automatic graders (test cases + checkers) used to train advanced AI coding models.<br> You'll create problems, write both correct and deliberately-wrong solutions, and design the tough test cases that catch subtly-broken code.<br> Your work is what makes the training signal trustworthy.<br> To apply, share: your competitive-programming handle(s) + current/peak rating, any problem-setting experience, and IOI/ICPC/olympiad history.<br> What you'll do Write original algorithmic problems — clear statement, sound constraints, an intended solution; Write correct solutions in C++ and Python; Write realistic wrong solutions (common mistakes) to test against; Build and harden test cases: generators, edge cases, stress and "hacking" tests; Write checkers/interactors (testlib) for problems with more than one valid answer; Confirm the quality bar: correct solutions pass, wrong ones fail, within time limits.<br> What we look for Strong competitive programming background, shown by a public profile — a Codeforces rating (see levels below), OR an IOI / ICPC / national-olympiad record; Fluent contest C++ (STL, complexity); comfortable writing Python; Can explain why a solution is wrong and build an input that breaks it; Strong written English (C1+).<br> Levels (by Codeforces rating, or equivalent olympiad achievement): Associate — 1700–2100 (Expert / Candidate Master): easier problems; Expert — 2200–2600 (Master / Grandmaster): harder problems Senior / Reviewer — 2600+ (Int'l Grandmaster) or IOI/ICPC medalist: hardest problems + quality review.<br> Nice to have IOI / ICPC alumni and top competitive programmers especially encouraged to apply; Experience setting or testing problems for real contests (Codeforces rounds, ICPC, national olympiads, online judges); Testlib experience (checkers, validators, generators); Experience creating data for LLM code benchmarks or similar RL / evaluation datasets.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $90/hr .<br> Because payment is per task, a faster pace raises your effective hourly rate.<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 competitive-programming problems and their automatic graders (test cases + checkers) used to train advanced AI coding models.<br> You'll create problems, write both correct and deliberately-wrong solutions, and design the tough test cases that catch subtly-broken code.<br> Your work is what makes the training signal trustworthy.<br> To apply, share: your competitive-programming handle(s) + current/peak rating, any problem-setting experience, and IOI/ICPC/olympiad history.<br> What you'll do Write original algorithmic problems — clear statement, sound constraints, an intended solution; Write correct solutions in C++ and Python; Write realistic wrong solutions (common mistakes) to test against; Build and harden test cases: generators, edge cases, stress and "hacking" tests; Write checkers/interactors (testlib) for problems with more than one valid answer; Confirm the quality bar: correct solutions pass, wrong ones fail, within time limits.<br> What we look for Strong competitive programming background, shown by a public profile — a Codeforces rating (see levels below), OR an IOI / ICPC / national-olympiad record; Fluent contest C++ (STL, complexity); comfortable writing Python; Can explain why a solution is wrong and build an input that breaks it; Strong written English (C1+).<br> Levels (by Codeforces rating, or equivalent olympiad achievement): Associate — 1700–2100 (Expert / Candidate Master): easier problems; Expert — 2200–2600 (Master / Grandmaster): harder problems Senior / Reviewer — 2600+ (Int'l Grandmaster) or IOI/ICPC medalist: hardest problems + quality review.<br> Nice to have IOI / ICPC alumni and top competitive programmers especially encouraged to apply; Experience setting or testing problems for real contests (Codeforces rounds, ICPC, national olympiads, online judges); Testlib experience (checkers, validators, generators); Experience creating data for LLM code benchmarks or similar RL / evaluation datasets.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $90/hr .<br> Because payment is per task, a faster pace raises your effective hourly rate.<br></span> </div>

<p>SRD Center is seeking a qualified Team Leader / Evaluation Manager for a proposed final external evaluation of a development programme in Madaba Governorate, Jordan. The programme links women s economic empowerment, entrepreneurship, cultural heritage, tourism, local economic development, municipal capacity-building, and gender-responsive urban and tourism planning. The Team Leader will provide overall technical and managerial leadership for a mixed-methods evaluation based on the OECD-DAC evaluation criteria, including relevance, coherence, effectiveness, efficiency, emerging impact, and sustainability. The assignment will combine desk review, stakeholder consultations, interviews, focus group discussions, field observations, evidence triangulation, analysis, stakeholder reflection, and preparation of evaluation reports. The assignment is expected to take place during the period September December 2026 and will include field engagement in Madaba. Tasks: • Provide overall technical leadership and management of the evaluation assignment. • Lead the development and refinement of the evaluation methodology, analytical framework, evaluation matrix, and sampling approach. • Ensure appropriate application of OECD-DAC evaluation criteria and mixed-methods evaluation principles. • Review programme documentation, monitoring data, implementation records, financial information, and other relevant evidence. • Lead and/or supervise key informant interviews, focus group discussions, stakeholder consultations, and other primary data collection. • Ensure that the evaluation applies gender-responsive, participatory, inclusive, conflict-sensitive, and ethical approaches. • Lead analysis and triangulation of qualitative and quantitative evidence. • Assess programme relevance, effectiveness, efficiency, coherence, emerging outcomes, sustainability, institutional ownership, and potential for replication or scaling. • Coordinate the work of technical specialists and field researchers. • Lead preparation of the inception report, preliminary findings presentation, draft evaluation report, and final evaluation report. • Facilitate stakeholder reflection and learning discussions on preliminary findings. • Develop evidence-based conclusions, lessons learned, and practical recommendations. • Ensure quality assurance, data protection, confidentiality, informed consent, and independence throughout the evaluation. • Ensure timely completion of all outputs in accordance with the agreed work plan.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Advanced university degree in evaluation, development studies, economics, social sciences, gender studies, urban development, cultural heritage, tourism, business development, public policy, or another relevant field.</li><li>At least 8 years of professional experience in programme and project evaluation.</li><li>Demonstrated experience leading mixed-methods evaluations.</li><li>Strong knowledge and practical experience applying OECD-DAC evaluation criteria.</li><li>Relevant experience evaluating programmes related to one or more of the following: <ul><li>Women s economic empowerment;</li><li>Entrepreneurship;</li><li>Local economic development;</li><li>Cultural heritage;</li><li>Tourism;</li><li>Municipal or urban development;</li><li>Community-based development.</li></ul></li><li>Demonstrated experience designing and conducting stakeholder consultations, interviews, focus group discussions, and qualitative data analysis.</li><li>Strong analytical, facilitation, stakeholder engagement, and report-writing skills.</li><li>Previous experience with internationally funded development programmes, UN agencies, international organizations, donors, municipalities, or civil society organizations is highly desirable.</li><li>Experience in Jordan or the wider MENA region is an advantage.</li><li>Excellent written and spoken English is required.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> About the Role This is a freelance role for a Tendem project.<br> As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule.<br> From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br> At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor's or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.<br> Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).<br> Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).<br> Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.<br> Strong attention to detail and commitment to data accuracy.<br> Self-directed work ethic with ability to troubleshoot independently.<br> A link to GitHub is a plus.<br> English proficiency: Upper-intermediate (B2) or above (required).<br></span> </div>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled Python data scraping engineers to join the Tandem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tandem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <h4>About the role</h4> <p>This is a freelance role for a Tandem project. As a Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities</h4> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p> <h4>How to get started</h4> <p>Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.</p> <h4>Requirements</h4> <ul> <li>At least 3 years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor's or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> </ul> <h4>Benefits</h4> <p>Why this freelance opportunity might be a great fit for you?</p> <ul> <li>Work fully remote on your own schedule with just a laptop and stable internet connection.</li> <li>Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.</li> <li>Participate in performance-based bonus programs that reward high-quality work and consistent delivery.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled Python data scraping engineers to join the Tandem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tandem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <h4>About the role</h4> <p>This is a freelance role for a Tandem project. As a Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities</h4> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p> <h4>How to get started</h4> <p>Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.</p> <h4>Requirements</h4> <ul> <li>At least 3 years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor's or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> </ul> <h4>Benefits</h4> <p>Why this freelance opportunity might be a great fit for you?</p> <ul> <li>Work fully remote on your own schedule with just a laptop and stable internet connection.</li> <li>Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.</li> <li>Participate in performance-based bonus programs that reward high-quality work and consistent delivery.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <h4>About the role</h4> <p>This is a freelance role for a Tendem project. As a Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities</h4> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p> <h4>How to get started</h4> <p>Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.</p> <h4>Requirements</h4> <ul> <li>At least 3 years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor's or Master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> </ul> <h4>Benefits</h4> <p>Why this freelance opportunity might be a great fit for you?</p> <ul> <li>Work fully remote on your own schedule with just a laptop and stable internet connection.</li> <li>Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.</li> <li>Participate in performance-based bonus programs that reward high-quality work and consistent delivery.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <h4>About the role</h4> <p>This is a freelance role for a Tendem project. As a Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities</h4> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p> <h4>How to get started</h4> <p>Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.</p> <h4>Requirements</h4> <ul> <li>At least 3 years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor's or Master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> </ul> <h4>Benefits</h4> <p>Why this freelance opportunity might be a great fit for you?</p> <ul> <li>Work fully remote on your own schedule with just a laptop and stable internet connection.</li> <li>Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.</li> <li>Participate in performance-based bonus programs that reward high-quality work and consistent delivery.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tandem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tandem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <h4>About the role</h4> <p>This is a freelance role for a Tandem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities</h4> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p> <h4>How to get started</h4> <p>Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.</p> <h4>Requirements</h4> <ul> <li>At least 3 years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor's or Master’s degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> </ul> <h4>Benefits</h4> <p>Why this freelance opportunity might be a great fit for you?</p> <ul> <li>Work fully remote on your own schedule with just a laptop and stable internet connection.</li> <li>Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.</li> <li>Participate in performance-based bonus programs that reward high-quality work and consistent delivery.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tandem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tandem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <h4>About the role</h4> <p>This is a freelance role for a Tandem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities</h4> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p> <h4>How to get started</h4> <p>Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.</p> <h4>Requirements</h4> <ul> <li>At least 3 years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor's or Master’s degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> </ul> <h4>Benefits</h4> <p>Why this freelance opportunity might be a great fit for you?</p> <ul> <li>Work fully remote on your own schedule with just a laptop and stable internet connection.</li> <li>Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.</li> <li>Participate in performance-based bonus programs that reward high-quality work and consistent delivery.</li> </ul></p><p></p>