Web Scraping Specialist (Freelance, Remote)

Job summary

This freelance position involves managing specialized data scraping workflows within a hybrid AI and human system, focusing on web extraction and processing tasks. The role is ideal for technical professionals with experience in web scraping and data analysis.

Qualifications

• Minimum of 1 year of relevant experience in data analysis, AI automation, data engineering, or software development.
• Bachelor's or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related fields is preferred.
• Proficiency in English at an upper-intermediate level (B2 or above) is required.

Responsibilities

• Oversee end-to-end data extraction workflows from complex websites, ensuring accuracy and reliable delivery of structured datasets.
• Utilize internal tools (Apify, OpenRouter) and custom workflows to enhance data collection and validation processes.
• Adapt scraping techniques to extract data from dynamic and interactive web sources, including JavaScript-rendered content.
• Maintain data quality through validation checks and systematic verification before delivery.
• Scale scraping operations for large datasets and monitor for stability against minor site structure changes.

Skills

Compensation

Contributors can earn up to $32 per hour, with variations based on project scope and complexity. Performance-based bonuses are available for high-quality work.

• Proficient in Python web scraping using tools like BeautifulSoup and Selenium for complex sites.
• Expertise in navigating hierarchical data structures and handling various HTML formats.
• Strong data processing skills, including cleaning and normalizing scraped data into structured formats (CSV, JSON, Google Sheets).
• Familiarity with LLMs and AI frameworks to enhance automation.
• Excellent attention to detail and a self-directed work ethic.