Web Scraping Specialist

Wynd Labs is an early-stage startup focused on making public web data accessible for AI through its Grass network, a platform that enables users to earn rewards by sharing unused internet bandwidth. The company is building a distributed residential proxy network to support large-scale data collection and AI-driven innovation.

Wynd Labs is seeking a Web Scraping Specialist to join its team and contribute to building a scalable data extraction infrastructure. This role involves developing and maintaining advanced scraping systems that collect and process large volumes of web data. You will work closely with a specialized team to ensure data reliability, efficiency, and accessibility for AI-driven applications.

Responsibilities:
- Develop, test, and maintain web scraping scripts for diverse online sources
- Handle complex scraping challenges such as dynamic content and pagination
- Clean, structure, and validate extracted data for downstream use
- Design and manage database solutions for storing large datasets
- Monitor scraping processes and troubleshoot performance or reliability issues
- Optimize scraping workflows for efficiency and scalability

Requirements:
- Strong experience in web scraping with proven project examples
- Proficiency in Python or JavaScript with libraries like Scrapy, Selenium, or BeautifulSoup
- Knowledge of asynchronous programming and distributed scraping systems
- Solid understanding of HTML, CSS, JavaScript, and DOM structures
- Experience with NoSQL databases such as MongoDB or Cassandra
- Familiarity with cloud platforms for deploying and managing scraping workloads

Benefits:
- Competitive salary and equity package
- Opportunity to work on large-scale data and AI infrastructure
- Collaborative and high-performance team culture
- High autonomy in a fast-paced startup environment

Join Wynd Labs to help build the future of open and accessible web data for AI systems.