Senior Data Scraping Engineer (Remote, Freelance)

Job summary

This part-time remote position is for a Senior Data Scraping Engineer specializing in Python, focusing on data extraction workflows within a hybrid AI and human system. The role involves collaborating with agents to ensure accurate and actionable data results.

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, delivering 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 above).

Responsibilities

Compensation

Work Setup

• Manage end-to-end data extraction workflows from complex websites, ensuring accuracy and reliability.
• Utilize internal tools and custom workflows to enhance data collection and validation processes.
• Adapt scraping techniques for dynamic web sources and changing site behaviors.
• Maintain data quality through rigorous validation and consistency checks.
• Scale scraping operations for large datasets and monitor for stability against minor site changes.
• Earn up to $37 per hour based on contribution level and project 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.