Freelance Data Scraping Engineer (Remote)

Job summary

This freelance position involves working as a Data Scraping Engineer, focusing on specialized data scraping workflows within a hybrid AI and human system. The role is fully remote and part-time, suitable for professionals with expertise in web scraping and data processing.

Qualifications

• Minimum of 3 years of 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 advantageous.
• Proficient in Python web scraping tools (e.g., BeautifulSoup, Selenium) and handling dynamic content (JavaScript, AJAX).
• Experience with data extraction from complex structures and delivering structured datasets (CSV, JSON, Google Sheets).
• Familiarity with LLMs and AI frameworks to enhance automation.
• Strong attention to detail and commitment to data accuracy.
• Self-directed with troubleshooting capabilities.
• English proficiency at an upper-intermediate level (B2) or above.

Responsibilities

Compensation

Earn up to $37 per hour based on experience and contribution level. Compensation varies by project scope and complexity.

Benefits

• Manage end-to-end data extraction workflows across complex websites, ensuring accuracy and reliable delivery of datasets.
• Utilize internal tools (Apify, OpenRouter) and custom workflows for efficient data collection and validation.
• Adapt scraping methods for dynamic web sources and changing site behaviors.
• Maintain data quality through validation checks and consistency controls before delivery.
• Scale scraping operations for large datasets, monitor for failures, and ensure stability against minor site changes.
• Fully remote work with flexible scheduling.
• Gain experience in a unique environment combining human expertise with AI.
• Opportunity to participate in performance-based bonus programs.