Freelance Data Scraping Engineer (Remote)

Job summary

This freelance position focuses on data scraping and extraction using Python within a hybrid AI and human system. The role requires technical expertise to ensure accurate and efficient data workflows.

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.
• Proficiency in Python web scraping tools (BeautifulSoup, Selenium, etc.) and handling dynamic content.
• Experience in data cleaning, normalization, and validation.
• 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 Environment

• Manage end-to-end data extraction processes from complex websites, ensuring accuracy and completeness.
• Utilize internal tools and custom workflows to enhance data collection and validation.
• Adapt scraping techniques for dynamic web sources, including JavaScript-rendered content.
• Maintain data quality through validation checks and consistency controls.
• Scale operations for large datasets and monitor for stability against 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 with AI capabilities.