Freelance Data Scraping Engineer (Remote)

Denmark
Posted 3 weeks, 6 days ago
Data Science

About the role

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, suitable 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 advantageous.
  • Proficient in Python web scraping tools such as BeautifulSoup and Selenium, with experience in handling dynamic content and APIs.
  • Strong skills in data cleaning, normalization, and validation, capable of delivering structured datasets in formats like CSV and JSON.
  • Familiarity with LLMs and AI frameworks to improve automation processes.
  • Attention to detail and a commitment to data accuracy are essential.
  • Ability to work independently and troubleshoot issues.
  • English proficiency at an upper-intermediate level (B2) or higher is required.

Responsibilities

Compensation

Earn up to $32 per hour based on experience and contribution pace, with variations depending on project scope and complexity. Performance-based bonuses are available for high-quality work.

Work Setup

This role allows for fully remote work, providing flexibility to manage your schedule with just a laptop and a stable internet connection.

  • Manage end-to-end data extraction processes from complex websites, ensuring accuracy and reliability of structured datasets.
  • Utilize internal tools (Apify, OpenRouter) and custom workflows to enhance data collection and validation.
  • Adapt scraping techniques for dynamic web sources, including JavaScript-rendered content.
  • Implement data quality standards through validation checks and consistency controls before delivery.
  • Scale scraping operations for large datasets, monitor for failures, and maintain stability against minor changes in site structure.
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