Freelance Data Scraping Engineer (Remote)

Job summary

This freelance position involves executing specialized data scraping workflows using Python within a hybrid AI and human system. The role requires collaboration with agents to ensure data accuracy and quality control while managing web extraction tasks remotely.

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 fields is preferred.
• Proficient in Python web scraping tools (BeautifulSoup, Selenium, etc.) and handling dynamic content.
• Experience in data cleaning, normalization, and validation, producing structured datasets.
• Familiarity with LLMs and AI frameworks is advantageous.
• Strong attention to detail and self-directed work ethic.
• English proficiency at an upper-intermediate level (B2) or higher.

Responsibilities

Compensation

Work Setup

• Manage end-to-end data extraction workflows from complex websites, ensuring accuracy and reliability.
• 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.
• Scale scraping operations for large datasets and maintain stability against minor site changes.
• Earn up to $37 per hour based on experience and contribution pace, with potential for performance-based bonuses.
• Fully remote position with flexible scheduling, requiring only a laptop and stable internet connection.