Freelance Data Scraping Engineer (Remote)

Job summary

This freelance role involves executing data scraping tasks with a focus on technical precision for web extraction and processing in a hybrid AI and human system. The position is part-time and remote, ideal for professionals with experience in web scraping and data extraction.

Qualifications

• Minimum of 3 years of relevant experience in data engineering, web scraping, automation, or software development.
• Bachelor's or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is preferred.
• Proficient in Python web scraping tools (BeautifulSoup, Selenium, etc.), including handling dynamic content and APIs.
• Experience in data cleaning, normalization, and validation, delivering structured datasets.
• Familiarity with LLMs and AI frameworks is advantageous.
• Strong attention to detail and commitment to data accuracy.
• Self-directed with the ability to troubleshoot independently.
• English proficiency at an upper-intermediate level (B2) or above is required.

Responsibilities

Compensation

Earn up to $37 per hour based on experience and contribution pace. Compensation may vary by project scope and complexity.

Benefits

• Manage end-to-end data extraction workflows from complex websites, ensuring accuracy and reliability of structured datasets.
• Utilize internal tools (Apify, OpenRouter) and custom workflows for efficient data collection and validation.
• Adapt scraping techniques for dynamic web sources and changing site behaviors.
• Implement data quality standards through validation checks and consistency controls before delivery.
• Scale scraping operations for large datasets while monitoring for failures and maintaining stability.
• Fully remote work with flexible scheduling.
• Gain experience in a unique hybrid environment combining human expertise and AI.
• Opportunity for performance-based bonuses for high-quality work.