Freelance Data Scraping Engineer (Remote)

Job summary

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

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

Responsibilities

Compensation

Work Environment

• Manage end-to-end data extraction workflows across 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 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 with AI capabilities.