Database administrator DBA Jobs
3162 Jobs Found
<p><h4>Description</h4>
<p>We are seeking a Data Protection & DLP Design Expert to protect organizational data from leakage and ensure that backups and data protection mechanisms are securely designed and governed. The role focuses on translating data classification requirements into practical, enforceable controls and reviewing existing data protection measures against industry best practices and NCA ECC standards.</p>
<h4>Key responsibilities:</h4>
<ul>
<li>Translate data classification into practical controls — defining what data is sensitive and how it must be protected.</li>
<li>Design DLP (Data Loss Prevention) coverage across endpoints, email, web, and cloud, as applicable.</li>
<li>Ensure DLP integration with key tools, including Email Gateway, MDM, endpoint agents, and proxy/CASB solutions where used.</li>
<li>Review current DLP and backup/data protection setups against best practices and NCA ECC; recommend improvements.</li>
<li>Define secure baselines, including policy settings, exception handling, tuning, encryption alignment, and retention policies.</li>
<li>Define SOC/SIEM monitoring and response use-cases, such as suspected data exfiltration and policy violations.</li>
<li>Deliver evidence artifacts for audits, along with runbooks, SOPs, and training/knowledge transfer materials.</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Arabic speakers</li>
<li>6 years of relevant experience in data protection, DLP design, and governance.</li>
<li>Strong understanding of data classification frameworks and how to operationalize them into technical controls.</li>
<li>Experience reviewing and improving DLP and backup/data protection architectures against compliance standards, particularly NCA ECC.</li>
<li>Ability to define secure configuration baselines and exception-handling processes.</li>
<li>Experience collaborating with SOC/SIEM teams to define monitoring and incident response use-cases.</li>
<li>Strong documentation skills for audit evidence, runbooks, and SOPs.</li>
<li>Strong communication skills to deliver training and knowledge transfer to internal teams.</li>
</ul></p><p></p>
<p><h4>Description</h4>
<p>We're looking for an experienced senior data scientist to design and deliver data-driven solutions that solve complex business problems and create measurable impact.</p>
<p>Working closely with business stakeholders, product teams, and technical experts, you'll transform business challenges into scalable analytical, machine learning, and GenAI solutions. From defining use cases to deploying production-ready models, you'll play a key role in delivering innovative AI solutions that drive better decision-making and customer outcomes.</p>
<h4>Requirements</h4>
<h4>What you'll do</h4>
<ul>
<li>Collaborate with business stakeholders to identify and prioritize AI and analytics opportunities</li>
<li>Translate business requirements into scalable data science and machine learning solutions</li>
<li>Validate data availability and define analytical approaches for new use cases</li>
<li>Build predictive models, machine learning solutions, and GenAI applications</li>
<li>Design robust data pipelines and analytical workflows</li>
<li>Apply data processing, feature engineering, and statistical modelling techniques</li>
<li>Ensure solutions are scalable, production-ready, and aligned with software engineering and MLOps best practices</li>
<li>Present analytical findings and recommendations to technical and executive stakeholders</li>
<li>Communicate AI capabilities, feasibility, risks, and expected business value in a clear and practical way</li>
<li>Mentor junior team members and support technical delivery across multiple initiatives</li>
</ul>
<h4>You're our match if you have</h4>
<ul>
<li>Master's degree in data science, computer science, artificial intelligence, mathematics, software engineering, or a related field</li>
<li>5+ years of hands-on experience delivering data science or machine learning solutions</li>
<li>Strong Python programming skills and experience with modern data science libraries</li>
<li>Experience building predictive models, machine learning solutions, and GenAI applications</li>
<li>Strong understanding of statistics, data modelling, and feature engineering</li>
<li>Experience designing scalable data pipelines and production-ready AI solutions</li>
<li>Familiarity with MLOps, model deployment, and machine learning lifecycle management</li>
<li>Excellent stakeholder management and communication skills</li>
<li>Ability to translate complex technical concepts into business value</li>
</ul>
<h4>Bonus points if you have experience with</h4>
<ul>
<li>Telecommunications or other customer-centric industries</li>
<li>Large-scale customer analytics and segmentation</li>
<li>Large language models (LLMs) and retrieval-augmented generation (RAG)</li>
<li>Cloud platforms such as Azure, AWS, or Google Cloud</li>
<li>Databricks, Spark, or distributed data processing</li>
<li>Docker, Kubernetes, or CI/CD pipelines</li>
<li>Leading or mentoring technical teams</li>
</ul></p><p></p>
<p><h4>Description</h4>
<p>Mindrift is looking for highly skilled senior Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p>
<p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p>
<p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p>
<h4>What we do</h4>
<p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p>
<p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p>
<h4>Key responsibilities:</h4>
<ul>
<li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li>
<li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li>
<li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li>
<li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li>
<li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li>
</ul>
<h4>Requirements:</h4>
<ul>
<li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li>
<li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li>
<li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li>
<li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li>
<li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li>
<li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li>
<li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li>
<li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li>
<li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li>
<li>Strong attention to detail and commitment to data accuracy.</li>
<li>Self-directed work ethic with ability to troubleshoot independently.</li>
<li>English proficiency: upper-intermediate (B2) or above (required).</li>
</ul>
<p>A link to GitHub is a plus.</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $25 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>We're looking for an experienced senior data scientist to design and deliver data-driven solutions that solve complex business problems and create measurable impact.</p>
<p>Working closely with business stakeholders, product teams, and technical experts, you'll transform business challenges into scalable analytical, machine learning, and GenAI solutions. From defining use cases to deploying production-ready models, you'll play a key role in delivering innovative AI solutions that drive better decision-making and customer outcomes.</p>
<h4>Requirements</h4>
<h4>What you'll do</h4>
<ul>
<li>Collaborate with business stakeholders to identify and prioritize AI and analytics opportunities</li>
<li>Translate business requirements into scalable data science and machine learning solutions</li>
<li>Validate data availability and define analytical approaches for new use cases</li>
<li>Build predictive models, machine learning solutions, and GenAI applications</li>
<li>Design robust data pipelines and analytical workflows</li>
<li>Apply data processing, feature engineering, and statistical modelling techniques</li>
<li>Ensure solutions are scalable, production-ready, and aligned with software engineering and MLOps best practices</li>
<li>Present analytical findings and recommendations to technical and executive stakeholders</li>
<li>Communicate AI capabilities, feasibility, risks, and expected business value in a clear and practical way</li>
<li>Mentor junior team members and support technical delivery across multiple initiatives</li>
</ul>
<h4>You're our match if you have</h4>
<ul>
<li>Master's degree in data science, computer science, artificial intelligence, mathematics, software engineering, or a related field</li>
<li>5+ years of hands-on experience delivering data science or machine learning solutions</li>
<li>Strong Python programming skills and experience with modern data science libraries</li>
<li>Experience building predictive models, machine learning solutions, and GenAI applications</li>
<li>Strong understanding of statistics, data modelling, and feature engineering</li>
<li>Experience designing scalable data pipelines and production-ready AI solutions</li>
<li>Familiarity with MLOps, model deployment, and machine learning lifecycle management</li>
<li>Excellent stakeholder management and communication skills</li>
<li>Ability to translate complex technical concepts into business value</li>
</ul>
<h4>Bonus points if you have experience with</h4>
<ul>
<li>Telecommunications or other customer-centric industries</li>
<li>Large-scale customer analytics and segmentation</li>
<li>Large language models (LLMs) and retrieval-augmented generation (RAG)</li>
<li>Cloud platforms such as Azure, AWS, or Google Cloud</li>
<li>Databricks, Spark, or distributed data processing</li>
<li>Docker, Kubernetes, or CI/CD pipelines</li>
<li>Leading or mentoring technical teams</li>
</ul></p><p></p>
<p><h4>Description</h4>
<p>Mindrift is looking for highly skilled senior Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p>
<p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p>
<p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p>
<h4>What we do</h4>
<p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p>
<p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p>
<h4>Key responsibilities:</h4>
<ul>
<li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li>
<li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li>
<li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li>
<li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li>
<li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li>
</ul>
<h4>Requirements:</h4>
<ul>
<li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li>
<li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li>
<li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li>
<li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li>
<li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li>
<li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li>
<li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li>
<li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li>
<li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li>
<li>Strong attention to detail and commitment to data accuracy.</li>
<li>Self-directed work ethic with ability to troubleshoot independently.</li>
<li>English proficiency: upper-intermediate (B2) or above (required).</li>
</ul>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $25 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 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>Mindrift is looking for highly skilled senior Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p>
<p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p>
<p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p>
<h4>What we do</h4>
<p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p>
<p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p>
<h4>Key responsibilities:</h4>
<li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li>
<li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li>
<li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li>
<li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li>
<li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li>
<h4>Requirements:</h4>
<li>Five or more years of relevant experience in data engineering, web scraping, automation, or software development (required).</li>
<li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li>
<li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li>
<li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li>
<li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li>
<li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li>
<li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li>
<li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li>
<li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li>
<li>Strong attention to detail and commitment to data accuracy.</li>
<li>Self-directed work ethic with ability to troubleshoot independently.</li>
<li>English proficiency: upper-intermediate (B2) or above (required).</li>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $25 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Mindrift is looking for highly skilled senior Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p>
<p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p>
<p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p>
<h4>What we do</h4>
<p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p>
<p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p>
<h4>Key responsibilities:</h4>
<ul>
<li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li>
<li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li>
<li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li>
<li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li>
<li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li>
</ul>
<h4>Requirements:</h4>
<ul>
<li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li>
<li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li>
<li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li>
<li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li>
<li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li>
<li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li>
<li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li>
<li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li>
<li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li>
<li>Strong attention to detail and commitment to data accuracy.</li>
<li>Self-directed work ethic with ability to troubleshoot independently.</li>
<li>A link to GitHub is a plus.</li>
<li>English proficiency: Upper-intermediate (B2) or above (required).</li>
</ul>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $25 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Mindrift is looking for highly skilled senior python data scraping engineers to join the tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</h4>
<p>In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p>
<p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p>
<h4>What we do</h4>
<p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p>
<p>This is a freelance role for a Tendem project. As a senior python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p>
<h4>Key responsibilities:</h4>
<li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li>
<li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li>
<li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle javascript-rendered content and changing site behavior.</li>
<li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li>
<li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li>
<h4>Requirements:</h4>
<li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li>
<li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li>
<li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li>
<li>Strong experience in python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li>
<li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li>
<li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li>
<li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li>
<li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li>
<li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li>
<li>Strong attention to detail and commitment to data accuracy.</li>
<li>Self-directed work ethic with ability to troubleshoot independently.</li>
<li>A link to GitHub is a plus.</li>
<li>English proficiency: upper-intermediate (B2) or above (required).</li>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $25 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Mindrift is looking for highly skilled senior python data scraping engineers to join the tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</h4>
<p>In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p>
<p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p>
<h4>What we do</h4>
<p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p>
<p>This is a freelance role for a Tendem project. As a senior python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p>
<h4>Key responsibilities:</h4>
<li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li>
<li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li>
<li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle javascript-rendered content and changing site behavior.</li>
<li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li>
<li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li>
<h4>Requirements:</h4>
<li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li>
<li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li>
<li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li>
<li>Strong experience in python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li>
<li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li>
<li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li>
<li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li>
<li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li>
<li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li>
<li>Strong attention to detail and commitment to data accuracy.</li>
<li>Self-directed work ethic with ability to troubleshoot independently.</li>
<li>A link to GitHub is a plus.</li>
<li>English proficiency: upper-intermediate (B2) or above (required).</li>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $25 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>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 senior Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p>
<p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p>
<p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p>
<h4>What we do</h4>
<p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p>
<p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p>
<h4>Key responsibilities:</h4>
<li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li>
<li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li>
<li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li>
<li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li>
<li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li>
<h4>Requirements:</h4>
<li>Five or more years of relevant experience in data engineering, web scraping, automation, or software development (required).</li>
<li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li>
<li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li>
<li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li>
<li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li>
<li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li>
<li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li>
<li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li>
<li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li>
<li>Strong attention to detail and commitment to data accuracy.</li>
<li>Self-directed work ethic with ability to troubleshoot independently.</li>
<li>English proficiency: upper-intermediate (B2) or above (required).</li>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $25 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 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>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>
<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>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Responsibilities</p><p>Define and communicate a clear product vision aligned with company strategy and customer needs.</p><p>Develop and maintain a product roadmap that reflects strategic priorities and market opportunities.</p><p>Identify and evaluate new product opportunities through market research, customer insights, and competitive analysis.</p><p>Set product goals and success metrics (e.g., KPIs, OKRs) to guide development and measure impact.</p><p>Lead the product through its entire lifecycle from ideation and discovery to launch and post-launch optimization.</p><p>Prioritize features, enhancements, and technical debt using data-driven analysis and stakeholder input.</p><p>Manage go-to-market planning in collaboration with marketing, sales, and customer support.</p><p>Work closely with Product Owners (POs) to translate strategic goals into actionable backlogs and features. And collaborate with UX/UI designers to ensure product usability and user experience meet design standards.</p><p>Partner with engineering teams to ensure feasibility, timely delivery, and quality execution.</p><p>Coordinate with business units, operations, and customer-facing teams to gather feedback and align on product goals.</p><p>Facilitate product discovery sessions with users, stakeholders, and subject matter experts.</p><p>Lead the creation of product requirements, user stories, and acceptance criteria.</p><p>Validate assumptions through customer interviews, prototypes, A/B testing, and early-stage pilots.</p><p>Make informed trade-off decisions based on user value, business impact, technical constraints, and resource availability.</p><p>Maintain a transparent prioritization process that balances short-term delivery and long-term strategy.</p><p>Continuously re-evaluate priorities based on customer feedback, market dynamics, and performance data.</p><p>Track product performance post-launch using analytics tools and user feedback.</p><p>Analyze product data to identify areas of improvement and drive iterative enhancements.</p><p>Serve as the voice of the product to internal and external stakeholders.</p><p>Provide regular updates, reports, and insights into executive leadership and business partners.</p><p>Present product plans, performance reports, and strategic recommendations.</p><p>Ensure compliance with institutional policies, academic standards, and regulatory guidelines.</p><p>Contribute to product documentation, user guides, and internal knowledge bases.</p><p>Support training and onboarding of stakeholders on new features.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor s degree in Product Management, Business Administration, Computer Science, Engineering, project management, business analysis, or related field.</p><p>4+ years of experience in related fields.</p><p>Training and Certifications : CSPO (Certified Scrum Product Owner - Scrum Alliance) or PSPO I (Professional Scrum Product Owner - Scrum.org), PMP (Project Management Professional), and/or Google Project Management Certificate are preferred but not mandatory.</p><p>Familiarity with UI/UX design principles and methodologies.</p><p>Skilled in Wireframing and Prototyping using Figma, Balsamiq, or similar tools to create wireframes and interactive prototypes for feature visualization and early user feedback.</p><p>Experienced in visualizing workflows and business processes using tools like Draw.io, Lucidchart, or other flowcharting software to enhance clarity and alignment.</p><p>Deep understanding of the Software Development Lifecycle (SDLC) and Agile methodologies (e.g., Scrum, Kanban), enabling effective collaboration with development teams and iterative product delivery.</p><p></p></section>
<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>