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 and interactive web sources, scaling operations for large datasets, and enforcing data quality standards.

Location: Fully remote, worldwide on your own schedule

Company

hirify.global platform connects specialists with AI projects from major tech innovators to unlock Generative AI potential using real-world expertise.

What you will do

• Own end-to-end data extraction workflows across complex websites, ensuring complete coverage and reliable structured datasets.
• Leverage tools like Apify and OpenRouter plus custom approaches for data collection, validation, and execution.
• Handle extraction from dynamic sources including JavaScript-rendered content and adapt to site changes.
• Enforce data quality through validation, consistency checks, and verification.
• Scale scraping for large datasets using batching, parallelization, and failure monitoring.

Requirements

• English proficiency: Upper-intermediate (B2) or above required
• At least 3 years in data engineering, web scraping, automation, or software development
• Strong Python web scraping experience (BeautifulSoup, Selenium) for dynamic content, JS, APIs, proxies
• Ability to extract from complex structures and deliver cleaned, normalized data (CSV, JSON)
• Experience with LLMs and AI frameworks
• Self-directed with strong attention to detail

Nice to have

• Bachelor's or Master’s in Engineering, Computer Science, or related
• GitHub portfolio

Culture & Benefits

• Fully remote with flexible schedule, laptop and internet only
• Hybrid AI + human environment for unique skill development
• Performance-based bonuses for quality and delivery
• Opportunity to contribute to various AI projects matching skills