Freelance Data Scraping Engineer (Python)

About the Role

Mindrift's platform connects specialists with AI projects from major tech innovators, aiming to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. The company's mission is built on the premise that combining human insight with AI capabilities can lead to breakthroughs in data analysis and processing.

Your day-to-day activities will involve handling data scraping tasks that require technical precision for web extraction and processing, utilizing various tools such as Apify and OpenRouter alongside your own resourceful approaches. You will own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.

What You Will Do

• 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.
• Collaborate with Tendem Agents to handle repetitive tasks, providing critical thinking and domain expertise.
• Utilize Python for web scraping, data extraction, and processing, ensuring high-quality data outputs.
• Contribute to the development of the company's data scraping capabilities, suggesting improvements and optimizing processes.
• Participate in quality control, ensuring that all data delivered meets the required standards.

What We Are Looking For

• At least 3 years of relevant experience in data engineering, web scraping, automation, or software development.
• 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.
• Upper-intermediate (B2) or above English proficiency.
• Bachelor's or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.
• A link to GitHub is a plus.

Nice to Have

• Experience with cloud platforms (AWS, Google Cloud, Azure) for data processing and storage.
• Knowledge of data visualization tools (Tableau, Power BI) for presenting insights.
• Familiarity with Agile project management methodologies.
• Experience working in a remote team environment.

Benefits and Perks

• Freelance, part-time opportunity with flexible scheduling.
• Competitive hourly rate, with the potential to earn up to $37 per hour equivalent, depending on contribution level and project requirements.
• Opportunity to work on cutting-edge AI projects with major tech innovators.
• Collaboration with a team of skilled professionals in a hybrid AI + human system.
• Professional development opportunities, including access to the latest tools and technologies in data scraping and AI.
• Performance-based bonus programs that reward high-quality work and consistent delivery.
• The chance to contribute to the advancement of AI capabilities and real-world applications.

• Ensure your portfolio includes examples of complex web scraping projects, showcasing your ability to handle dynamic content and deliver high-quality data.
• Familiarize yourself with Mindrift's technology stack, including Apify and OpenRouter, to demonstrate your willingness to learn and adapt.
• Highlight your experience with Python and web scraping libraries like BeautifulSoup and Selenium.
• Prepare to discuss your approach to data quality control, including validation checks and systematic verification.
• Be ready to provide examples of your self-directed work ethic and ability to troubleshoot independently.
• Research Mindrift's mission and values to understand how your skills and experience align with the company's goals.
• Consider creating a GitHub repository or similar to share your code and demonstrate your coding skills.