Python Developer Jobs in Jordan

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design original computational physics problems that simulate real physics research workflows;</li> <li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li> <li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li> <li>Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;</li> <li>Base problems on real research challenges or practical applications from physics practice;</li> <li>Verify solutions using Python with standard physics simulation libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for optical engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in physics (theoretical, experimental, or computational) or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Experience with numerical simulation methods;</li> <li>Ability to design problems that mirror real physics research workflows;</li> <li>Creative thinking in problem design across diverse physics areas;</li> <li>Familiarity with physics modeling and approximation techniques;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $35 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 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 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>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.</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> <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>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>A leading global pharmaceutical company is seeking an experienced Data Engineer / BI Engineer to design, build, and maintain scalable data platforms that enable analytics, reporting, and data-driven decision making.<br> The role focuses on data ingestion, transformation, modeling, and analytics enablement, with strong emphasis on Python-based data engineering and modern data architectures.<br> Responsibilities: 1.<br> Data Engineering &amp; Data Architecture: Design and maintain scalable data pipelines for ingesting, transforming, and serving structured and semi-structured data.<br> Develop robust data transformation and processing logic using Python and distributed data processing frameworks.<br> Design and maintain analytical data models (dimensional models, fact/dimension tables) optimized for reporting and analytics.<br> Ensure data quality, reliability, performance, and consistency across the data platform.<br> Translate business and analytical requirements into efficient and maintainable data solutions.<br> 2. Analytics &amp; BI Enablement: Build and maintain semantic / analytical models that support enterprise reporting and self-service analytics.<br> Collaborate with analysts and business users to deliver trusted datasets and metrics.<br> Support reporting and dashboarding solutions by providing optimized data structures and calculations.<br> 3. Delivery &amp; Collaboration: Produce clear technical documentation including data models, transformation logic, and pipeline designs.<br> Collaborate with cross-functional teams including data analysts, data engineers, and business stakeholders.<br> Bachelor’s degree in data science, computer science, data engineering, or a relevant field.<br> 1-3 years of BI development experience.<br> 3+ years of cloud-based BI development experience Excellent English language verbal and written communication.<br> Able to analyse and understand complex data.<br> Able to implement modules that have security and authorization frameworks.<br> Strong problem-solving skills Technical Skills: Programming &amp; Data Processing: Strong proficiency in Python for data engineering and analytics use cases.<br> Experience building reusable, testable, and maintainable data transformation code.<br> Data Warehousing &amp; Modeling: Strong knowledge of SQL and analytical query optimization.<br> Solid understanding of data warehousing concepts (ETL/ELT, fact and dimension modeling).<br> Experience designing star and snowflake schemas for analytics and reporting.<br> Understanding of semantic layers and metrics definitions for BI consumption.<br> Cloud &amp; Modern Data Platforms: Experience working with cloud-based data platforms and data lakes(Preferred Azure).<br> Understanding of scalable data architectures (Lakehouse, warehouse, streaming vs batch).<br> BI &amp; Analytics: Experience supporting BI and reporting tools through well-designed datasets and models (Preferred Power BI).<br> Knowledge of analytical calculations, KPIs, and performance optimization for reporting workloads.<br> CI/CD &amp; DevOps (Supporting Skills): Working knowledge of CI/CD concepts applied to data and analytics projects.<br> Experience using version control systems (e.<br>g., Git, Perforce or Apache Subversion) for managing data, code, and artifacts.<br> Familiarity with deployment pipelines and environment promotion for data solutions</span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>A leading global pharmaceutical company is seeking an experienced Data Engineer / BI Engineer to design, build, and maintain scalable data platforms that enable analytics, reporting, and data-driven decision making. The role focuses on data ingestion, transformation, modeling, and analytics enablement, with strong emphasis on Python-based data engineering and modern data architectures.</p><p>Responsibilities:</p><p>1. Data Engineering &amp; Data Architecture: Design and maintain scalable data pipelines for ingesting, transforming, and serving structured and semi-structured data. Develop robust data transformation and processing logic using Python and distributed data processing frameworks. Design and maintain analytical data models (dimensional models, fact/dimension tables) optimized for reporting and analytics. Ensure data quality, reliability, performance, and consistency across the data platform. Translate business and analytical requirements into efficient and maintainable data solutions.</p><p>2. Analytics &amp; BI Enablement: Build and maintain semantic / analytical models that support enterprise reporting and self-service analytics. Collaborate with analysts and business users to deliver trusted datasets and metrics. Support reporting and dashboarding solutions by providing optimized data structures and calculations.</p><p>3. Delivery &amp; Collaboration: Produce clear technical documentation including data models, transformation logic, and pipeline designs. Collaborate with cross-functional teams including data analysts, data engineers, and business stakeholders.</p><p>Bachelor s degree in data science, computer science, data engineering, or a relevant field.</p><p>1-3 years of BI development experience.</p><p>3+ years of cloud-based BI development experience</p><p>Excellent English language verbal and written communication.</p><p>Able to analyse and understand complex data.</p><p>Able to implement modules that have security and authorization frameworks.</p><p>Strong problem-solving skills</p><p>Technical Skills:</p><p>Programming &amp; Data Processing: Strong proficiency in Python for data engineering and analytics use cases. Experience building reusable, testable, and maintainable data transformation code.</p><p>Data Warehousing &amp; Modeling: Strong knowledge of SQL and analytical query optimization. Solid understanding of data warehousing concepts (ETL/ELT, fact and dimension modeling). Experience designing star and snowflake schemas for analytics and reporting. Understanding of semantic layers and metrics definitions for BI consumption.</p><p>Cloud &amp; Modern Data Platforms: Experience working with cloud-based data platforms and data lakes(Preferred Azure). Understanding of scalable data architectures (Lakehouse, warehouse, streaming vs batch).</p><p>BI &amp; Analytics: Experience supporting BI and reporting tools through well-designed datasets and models (Preferred Power BI). Knowledge of analytical calculations, KPIs, and performance optimization for reporting workloads.</p><p>CI/CD &amp; DevOps (Supporting Skills): Working knowledge of CI/CD concepts applied to data and analytics projects. Experience using version control systems (e.g., Git, Perforce or Apache Subversion) for managing data, code, and artifacts. Familiarity with deployment pipelines and environment promotion for data solutions'</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor s degree in data science, computer science, data engineering, or a relevant field.</p><p>1-3 years of BI development experience.</p><p>3+ years of cloud-based BI development experience</p><p>Excellent English language verbal and written communication.</p><p>Able to analyse and understand complex data.</p><p>Able to implement modules that have security and authorization frameworks.</p><p>Strong problem-solving skills</p><p>Technical Skills:</p><p>Programming &amp; Data Processing: Strong proficiency in Python for data engineering and analytics use cases. Experience building reusable, testable, and maintainable data transformation code.</p><p>Data Warehousing &amp; Modeling: Strong knowledge of SQL and analytical query optimization. Solid understanding of data warehousing concepts (ETL/ELT, fact and dimension modeling). Experience designing star and snowflake schemas for analytics and reporting. Understanding of semantic layers and metrics definitions for BI consumption.</p><p>Cloud &amp; Modern Data Platforms: Experience working with cloud-based data platforms and data lakes(Preferred Azure). Understanding of scalable data architectures (Lakehouse, warehouse, streaming vs batch).</p><p>BI &amp; Analytics: Experience supporting BI and reporting tools through well-designed datasets and models (Preferred Power BI). Knowledge of analytical calculations, KPIs, and performance optimization for reporting workloads.</p><p>CI/CD &amp; DevOps (Supporting Skills): Working knowledge of CI/CD concepts applied to data and analytics projects. Experience using version control systems (e.g., Git, Perforce or Apache Subversion) for managing data, code, and artifacts. Familiarity with deployment pipelines and environment promotion for data solutions'</p><p></p></section>

<p><h4>Description</h4> <p>BlackStone eIT is seeking an experienced and visionary AI team lead to oversee and guide our artificial intelligence initiatives. As the AI team lead, you will be responsible for leading a team of AI engineers and data scientists to develop innovative AI solutions that drive business growth and enhance user experiences. You will collaborate with cross-functional stakeholders to design and implement cutting-edge AI technologies and ensure successful project delivery.</p> <h4>Key responsibilities:</h4> <ul> <li>Lead, mentor, and manage a team of AI engineers and data scientists.</li> <li>Design and develop scalable AI models and algorithms tailored to business needs.</li> <li>Collaborate with product managers, software developers, and business stakeholders to define AI project requirements.</li> <li>Ensure rigorous testing, validation, and deployment of AI solutions.</li> <li>Stay current with the latest advancements in AI, machine learning, and data science technologies.</li> <li>Establish best practices and standards for AI development within the team.</li> <li>Identify opportunities for AI integration to improve products and services.</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s or master’s degree in computer science, artificial intelligence, data science, or related field.</li> <li>At least 8 years of experience in AI, machine learning, or data science roles.</li> <li>Proven leadership experience managing technical teams.</li> <li>Strong proficiency in programming languages such as Python, R, or Java.</li> <li>Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.</li> <li>Solid understanding of data processing, feature engineering, and statistical modeling.</li> <li>Familiarity with cloud platforms (AWS, Azure, or Google Cloud) for AI deployment.</li> <li>Excellent problem-solving, analytical, and communication skills.</li> <li>Ability to translate complex AI concepts into actionable business solutions.</li> </ul> <h4>Benefits</h4> <ul> <li>Paid time off</li> <li>Performance bonus</li> <li>Training & development</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>

<p><h4>Description</h4> <p>A leading global pharmaceutical company is seeking an experienced data engineer / BI engineer to design, build, and maintain scalable data platforms that enable analytics, reporting, and data-driven decision making. The role focuses on data ingestion, transformation, modeling, and analytics enablement, with strong emphasis on Python-based data engineering and modern data architectures.</p> <h4>Responsibilities:</h4> <p><strong>1. Data engineering & data architecture:</strong><br> Design and maintain scalable data pipelines for ingesting, transforming, and serving structured and semi-structured data.<br> Develop robust data transformation and processing logic using Python and distributed data processing frameworks.<br> Design and maintain analytical data models (dimensional models, fact/dimension tables) optimized for reporting and analytics.<br> Ensure data quality, reliability, performance, and consistency across the data platform.<br> Translate business and analytical requirements into efficient and maintainable data solutions.</p> <p><strong>2. Analytics & BI enablement:</strong><br> Build and maintain semantic / analytical models that support enterprise reporting and self-service analytics.<br> Collaborate with analysts and business users to deliver trusted datasets and metrics.<br> Support reporting and dashboarding solutions by providing optimized data structures and calculations.</p> <p><strong>3. Delivery & collaboration:</strong><br> Produce clear technical documentation including data models, transformation logic, and pipeline designs.<br> Collaborate with cross-functional teams including data analysts, data engineers, and business stakeholders.</p> <h4>Requirements</h4> <p>Bachelor’s degree in data science, computer science, data engineering, or a relevant field.<br> 1-3 years of BI development experience.<br> 3+ years of cloud-based BI development experience.<br> Excellent English language verbal and written communication.<br> Able to analyse and understand complex data.<br> Able to implement modules that have security and authorization frameworks.<br> Strong problem-solving skills.</p> <h4>Technical skills:</h4> <p><strong>Programming & data processing:</strong><br> Strong proficiency in Python for data engineering and analytics use cases.<br> Experience building reusable, testable, and maintainable data transformation code.</p> <p><strong>Data warehousing & modeling:</strong><br> Strong knowledge of SQL and analytical query optimization.<br> Solid understanding of data warehousing concepts (ETL/ELT, fact and dimension modeling).<br> Experience designing star and snowflake schemas for analytics and reporting.<br> Understanding of semantic layers and metrics definitions for BI consumption.</p> <p><strong>Cloud & modern data platforms:</strong><br> Experience working with cloud-based data platforms and data lakes (preferred Azure).<br> Understanding of scalable data architectures (Lakehouse, warehouse, streaming vs batch).</p> <p><strong>BI & analytics:</strong><br> Experience supporting BI and reporting tools through well-designed datasets and models (preferred Power BI).<br> Knowledge of analytical calculations, KPIs, and performance optimization for reporting workloads.</p> <p><strong>CI/CD & DevOps (supporting skills):</strong><br> Working knowledge of CI/CD concepts applied to data and analytics projects.<br> Experience using version control systems (e.g., Git, Perforce or Apache Subversion) for managing data, code, and artifacts.<br> Familiarity with deployment pipelines and environment promotion for data solutions.</p></p><p></p>

<p><h4>Description</h4> <p>A leading global pharmaceutical company is seeking an experienced data engineer / BI engineer to design, build, and maintain scalable data platforms that enable analytics, reporting, and data-driven decision making. The role focuses on data ingestion, transformation, modeling, and analytics enablement, with strong emphasis on Python-based data engineering and modern data architectures.</p> <h4>Responsibilities:</h4> <p><strong>1. Data engineering & data architecture:</strong><br> Design and maintain scalable data pipelines for ingesting, transforming, and serving structured and semi-structured data.<br> Develop robust data transformation and processing logic using Python and distributed data processing frameworks.<br> Design and maintain analytical data models (dimensional models, fact/dimension tables) optimized for reporting and analytics.<br> Ensure data quality, reliability, performance, and consistency across the data platform.<br> Translate business and analytical requirements into efficient and maintainable data solutions.</p> <p><strong>2. Analytics & BI enablement:</strong><br> Build and maintain semantic / analytical models that support enterprise reporting and self-service analytics.<br> Collaborate with analysts and business users to deliver trusted datasets and metrics.<br> Support reporting and dashboarding solutions by providing optimized data structures and calculations.</p> <p><strong>3. Delivery & collaboration:</strong><br> Produce clear technical documentation including data models, transformation logic, and pipeline designs.<br> Collaborate with cross-functional teams including data analysts, data engineers, and business stakeholders.</p> <h4>Requirements</h4> <p>Bachelor’s degree in data science, computer science, data engineering, or a relevant field.<br> 1-3 years of BI development experience.<br> 3+ years of cloud-based BI development experience.<br> Excellent English language verbal and written communication.<br> Able to analyse and understand complex data.<br> Able to implement modules that have security and authorization frameworks.<br> Strong problem-solving skills.</p> <h4>Technical skills:</h4> <p><strong>Programming & data processing:</strong><br> Strong proficiency in Python for data engineering and analytics use cases.<br> Experience building reusable, testable, and maintainable data transformation code.</p> <p><strong>Data warehousing & modeling:</strong><br> Strong knowledge of SQL and analytical query optimization.<br> Solid understanding of data warehousing concepts (ETL/ELT, fact and dimension modeling).<br> Experience designing star and snowflake schemas for analytics and reporting.<br> Understanding of semantic layers and metrics definitions for BI consumption.</p> <p><strong>Cloud & modern data platforms:</strong><br> Experience working with cloud-based data platforms and data lakes (preferred Azure).<br> Understanding of scalable data architectures (Lakehouse, warehouse, streaming vs batch).</p> <p><strong>BI & analytics:</strong><br> Experience supporting BI and reporting tools through well-designed datasets and models (preferred Power BI).<br> Knowledge of analytical calculations, KPIs, and performance optimization for reporting workloads.</p> <p><strong>CI/CD & DevOps (supporting skills):</strong><br> Working knowledge of CI/CD concepts applied to data and analytics projects.<br> Experience using version control systems (e.g., Git, Perforce or Apache Subversion) for managing data, code, and artifacts.<br> Familiarity with deployment pipelines and environment promotion for data solutions.</p></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for skilled full-stack web app developers (JavaScript/TypeScript + Python or Node) to join the Tendem project and build interactive browser-based applications within our hybrid AI + human environment. In this role, as an AI Pilot – that's how we refer to this position at Mindrift – you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide full-stack engineering expertise, architectural judgment, and quality control to ensure web apps are functional, robust, and ready for real users. This part-time remote opportunity is ideal for professionals with hands-on experience in modern frontend frameworks, backend APIs, databases, and shipping interactive web products end-to-end.</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 full-stack web app developer, you'll design, build, and refine browser-based applications with real logic, state, persistence, and user input — from habit trackers and budgeting tools to internal dashboards, mini-SaaS tools, and AI-powered apps. You may also work on standalone Python applications and data-processing scripts that sit alongside or behind these products.</p> <h4>Key responsibilities</h4> <ul> <li>Build interactive web applications with frontend (React, Next.js, Vue, or similar) and a backend API (Python/FastAPI/Flask or Node/Express).</li> <li>Design and implement data models, schemas, and persistence layers using SQL (PostgreSQL, SQLite) or NoSQL stores.</li> <li>Implement authentication, sessions, and basic role-based access where needed.</li> <li>Integrate third-party APIs and AI/LLM services (OpenAI, Anthropic, or similar) into product features.</li> <li>Handle state management, user input validation, error states, and loading states cleanly.</li> <li>Build standalone Python tools and scripts where required by the task (data processing, API clients, lightweight backend utilities).</li> <li>Evaluate AI-generated full-stack code and refactor it for correctness, security, performance, and maintainability.</li> <li>Write clear, testable code and debug end-to-end issues across frontend, backend, and database.</li> </ul> <h4>Requirements and benefits</h4> <ul> <li>At least 3 years of relevant experience in full-stack web development or shipping interactive web applications (required).</li> <li>Bachelor's or master's degree in computer science, engineering, information technology, or related technical fields is a plus.</li> <li>Candidates should have a strong foundation in full-stack web development, modern frontend frameworks, backend architecture, and building interactive browser-based applications end-to-end. We are looking for specialists who can confidently work across frontend, backend, databases, and APIs, design robust application logic, and refine AI-assisted output into production-ready products. Strong problem-solving skills, attention to detail, and the ability to independently architect and ship complete features are essential.</li> <li>Strong command of JavaScript/TypeScript and at least one modern frontend framework (React, Next.js, Vue, Svelte, or similar).</li> <li>Solid backend experience in Python (FastAPI, Flask, Django) and/or Node.js (Express, NestJS).</li> <li>Hands-on experience with relational databases (PostgreSQL, MySQL, SQLite) and basic schema design.</li> <li>Experience implementing REST APIs, request validation, error handling, and authentication flows.</li> <li>Familiarity with deployment platforms (Vercel, Netlify, Render, Fly.io, Railway, or similar).</li> <li>Experience integrating LLM APIs or other AI services into product features is a strong plus.</li> <li>Comfortable with version control (Git) and basic testing practices.</li> <li>Strong attention to detail and commitment to building working, robust products — not demos.</li> <li>Self-directed work ethic with the ability to architect, build, and ship features independently.</li> <li>Portfolio of shipped web applications (required).</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 $60 per hour equivalent, depending on their level and pace of contribution. 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>Why this freelance opportunity might be a great fit for you?</h4> <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>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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Role Overview At TDM Group, we are looking for a motivated and enthusiastic Graduate Network Delivery &amp; Implementation Engineer to join our growing team. This is an excellent opportunity for a recent graduate who is passionate about networking, cybersecurity, and network automation to develop their career while working on a large-scale enterprise network supporting over 200 customer sites across Europe. Working alongside experienced engineers, you will assist with the deployment, maintenance, and automation of network infrastructure, gaining hands-on experience with Cisco and Fortinet technologies while contributing to network implementation, support, and continuous improvement initiatives. This role is ideal for candidates who enjoy problem-solving, have a strong technical foundation, and are eager to apply their programming skills in Python and Ansible to modern network operations.</p><p>Key Duties and Responsibilities</p><ul><li>Network Deployment &amp; Coordination Support the planning and coordination of network deployments across multiple customer sites. Review site documentation, IP addressing schemes, network diagrams, and connectivity requirements. Assist in preparing deployment documentation, equipment lists, and project records. Coordinate with internal teams, field engineers, ISPs, and customer stakeholders to ensure successful deployments. Provide remote technical support to engineers during installation activities. Verify network connectivity, remote access, and successful implementation following deployments.</li><li>Network Operations &amp; Support Assist in monitoring and maintaining customer network infrastructure. Help troubleshoot network connectivity, routing, switching, and firewall issues under the guidance of senior engineers. Support firewall configuration, firmware upgrades, and security policy implementation using Fortinet and Cisco technologies. Maintain accurate network documentation, asset records, and topology diagrams.</li><li>Network Automation &amp; Development Develop and enhance automation scripts using Ansible to simplify network deployment and operational tasks. Identify repetitive operational tasks and contribute ideas for automation and process improvement. Learn Infrastructure-as-Code (IaC) principles and help implement automation across customer environments. Work closely with senior engineers and cybersecurity teams to ensure automation aligns with operational and security standards.</li><li>Documentation &amp; Continuous Improvement Update deployment records, technical documentation, and knowledge base articles. Register deployed hardware and ensure firmware compliance. Contribute to improving deployment processes, operational standards, and automation tools. Participate in technical training, certification programmes, and knowledge-sharing sessions.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Skills &amp; Experience</h2><p>We welcome applications from recent graduates or candidates with up to two years of experience.</p><ul><li>Essential<ul><li>Bachelor's degree in Computer Science, Information Technology, Network Engineering, Cybersecurity, or a related discipline.</li><li>Cisco certification (CCNA or higher).</li><li>Fortinet certification (NSE4 or higher).</li><li>Good understanding of networking fundamentals including: TCP/IP VLANs Routing &amp; Switching NAT Firewalls VPN technologies</li><li>Programming knowledge in Python is a plus .</li></ul></li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Responsibilities</p><p>Build, maintain, and iterate on complex financial models (3-statement models, LTV/CAC, cohort analysis, and pricing models)</p><p>Assist in the annual budgeting and rolling forecast processes. Track actuals versus forecasts and uncover the "why" behind the variances.</p><p>Extract and analyze large datasets to identify trends in user behavior, unit economics, and operational efficiency.</p><p>Partner with Product, Growth, and Engineering teams to evaluate the financial impact of new product launches, market expansions, or marketing campaigns.</p><p>Help prepare pitch decks, investor updates, and monthly KPI dashboards for the executive team and board of directors.</p><p>Automate and streamline reporting workflows using modern finance and BI tools.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>1 3 years of experience in investment banking, top-tier management consulting, private equity, or a strategic finance/FP&amp;A role at a high-growth startup.</p><p>Elite-level Excel skills. You don't use the mouse, and your models are clean, scalable, and dynamic.</p><p>Strong proficiency in SQL and experience with BI tools (e.g., Tableau, Looker, Metabase). Python/R is a massive plus.</p><p>Bachelor s degree in finance, Economics, Mathematics, Engineering, or a related quantitative field.</p><p>A strong foundational understanding of fintech business models (SaaS, transaction volume, lending, etc.) and a genuine curiosity about the industry.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>Responsibilities</b></p><ul><li>Lead, mentor, and develop software engineers and QA teams, ensuring high performance and growth.</li><li>Establish engineering standards, best practices, and code quality guidelines.</li><li>Define and execute technical roadmaps aligned with business and product goals.</li><li>Oversee backend development using PHP, Laravel, and relational databases.</li><li>Architect scalable platforms and guide decisions on performance, scalability, and maintainability.</li><li>Lead the implementation of AI-driven features, including LLMs, RAG pipelines, and automation workflows.</li><li>Design and manage system integrations using REST/SOAP APIs and ensure data synchronization with external platforms (ERP, WMS, logistics, etc.).</li><li>Ensure timely project delivery, manage deployments, and oversee infrastructure, system reliability, and performance.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><b>Qualifications</b></p><ul><li>9 15 years of experience in software development.</li><li>Strong hands-on experience with PHP and Laravel frameworks.</li><li>Proven experience building scalable web platforms and enterprise systems.</li><li>Solid experience with API integrations and distributed system architectures.</li><li>Experience working with cloud platforms such as AWS and GCP.</li><li>Demonstrated leadership experience managing engineering teams.</li><li>Strong communication skills with the ability to collaborate across teams.</li><li>Fluent in English</li></ul><p>Nice to Have</p><ul><li>Knowledge of Java or Node.js.</li><li>Experience with Python for integrations, automation, or data processing.</li><li>Background in supply chain, logistics, or ERP systems.</li></ul><p></p></section>