Freelance Data Scraping Engineer (Python)

TL;DR

Freelance Data Scraping Engineer (Python): Own end-to-end data extraction workflows across complex websites with an accent on complete coverage, accuracy, and reliable delivery of structured datasets. Focus on handling dynamic content, scaling operations with batching or parallelization, and enforcing quality standards using validation and AI tools.

Location: Fully remote worldwide on your own schedule with laptop and stable internet.

Company

hirify.global platform connects specialists with AI projects from major tech innovators to unlock Generative AI potential through hybrid human-AI collaboration.

What you will do

• Own end-to-end data extraction from complex websites ensuring coverage, accuracy, and structured output.
• Leverage Apify, OpenRouter, and custom tools for data collection, validation, and execution.
• Handle dynamic JS-rendered content, APIs, proxies, and adapt to site changes.
• Enforce quality via validation, consistency checks, and verification before delivery.
• Scale scraping for large datasets with parallelization, monitoring, and stability maintenance.

Requirements

• English: Upper-intermediate (B2) or above required
• At least 3 years in data engineering, web scraping, automation, or software development.
• Strong Python scraping experience (BeautifulSoup, Selenium) for dynamic content, JS, APIs, proxies.
• Extract from complex structures, data cleaning, normalization to CSV/JSON/Google Sheets.
• Experience with LLMs and AI frameworks for automation.
• Self-directed with attention to detail and troubleshooting skills.

Nice to have

• Bachelor's or Master’s in Engineering, CS, Applied Math or related.
• GitHub link.

Culture & Benefits

• Fully remote on your schedule with just laptop and internet.
• Hybrid AI-human environment for unique skill development.
• Performance-based bonuses for quality and delivery.
• Contribute to advancing AI capabilities across projects.