Freelance Data Scraping Engineer (Remote)

Job summary

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

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 fields is preferred.
• Proficient in Python web scraping tools (BeautifulSoup, Selenium, etc.) and handling dynamic content.
• Experience with data cleaning, normalization, and validation to deliver structured datasets.
• Familiarity with LLMs and AI frameworks is advantageous.
• Strong attention to detail and commitment to data accuracy.
• Upper-intermediate English proficiency (B2) or higher is required.

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 to enhance data collection and validation processes.
• Adapt scraping techniques for dynamic web sources, including JavaScript-rendered content.
• Implement data quality standards through validation checks and consistency controls.
• Scale scraping operations for large datasets, monitor for failures, and maintain stability against minor site changes.
• Earn up to $32 per hour based on experience and contribution pace, with variations depending on project scope and complexity.
• Fully remote position with flexible scheduling, requiring only a laptop and stable internet connection.
• Opportunity to gain experience in a unique hybrid environment combining human expertise and AI capabilities.