Freelance Data Scraping Engineer (Python)

As a Python Data Scraping Engineer at Mindrift's Tendem project, you will be responsible for driving specialized data scraping workflows within the hybrid AI + human system. Collaborating with Tendem Agents, you will provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing. Key Responsibilities: - Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. - Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements. - Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior. - Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. - Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes. In this freelance role, contributors can earn up to $20 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects based on scope, complexity, and expertise required. Qualifications Required: - At least 3 years of relevant experience in data engineering, web scraping, automation, or software development. - Bachelor's or Masters Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus. - 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). - Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving. - Strong attention to detail and commitment to data accuracy. - Self-directed work ethic with the ability to troubleshoot independently. - English proficiency: Upper-intermediate (B2) or above. This freelance opportunity offers the flexibility to work fully remote on your schedule with just a laptop and stable internet connection. Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly. Additionally, participate in performance-based bonus programs that reward high-quality work and consistent delivery. As a Python Data Scraping Engineer at Mindrift's Tendem project, you will be responsible for driving specialized data scraping workflows within the hybrid AI + human system. Collaborating with Tendem Agents, you will provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing. Key Responsibilities: - Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. - Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements. - Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior. - Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. - Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes. In this freelance role, contributors can earn up to $20 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects based on scope, complexity, and expertise required. Qualifications Required: - At least 3 years of relevant experience in data engineering, web scraping, automation, or software development. - Bachelor's or Masters Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus. - 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