The vacancy is well-structured with clear responsibilities and compensation, but lacks explicit seniority level.
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Overview
Wynd Labs is seeking a Web Scraping Specialist to lead data extraction efforts for their innovative project, Grass, which aims to make public web data accessible for AI. Wynd Labs is an early-stage startup that is on a mission to make public web data accessible for AI through contributions to Grass. Grass is a network sharing application that allows users to share their unused bandwidth. Effectively, this is a residential proxy network that directly rewards individual residential IPs for the bandwidth they provide. Grass will route traffic equitably among its network and meter the amount of data that each node provides to fairly distribute rewards. In non-technical terms: Grass unlocks everyone's ability to earn rewards by simply sharing their unused internet bandwidth on personal devices (laptops, smartphones). This project is for those who lead with initiative and seek to challenge themselves and thrive on curiosity. We operate with a lean, highly motivated team who revel in the responsibility that comes with autonomy. We have a flat organizational structure, the people making decisions are also the ones implementing them. We are driven by ambitious goals and a strong sense of urgency. Leadership is given to those who show initiative, consistently deliver excellence and bring the best out of those around them. Join us if you want to set the tone for a fair and equitable internet.
What you'll do
- •Write, test, and refine code that extracts data from various online sources, ensuring reliability and efficiency.
- •Perform data retrieval tasks, handling complexities such as pagination and dynamic content loaded with AJAX.
- •Clean and format extracted data, ensuring it meets quality standards for further analysis or processing.
- •Database management: Store and manage the scraped data in appropriate databases, optimizing for access speed and data integrity.
- •Regularly monitor the scraping processes, identify and resolve any issues to maintain continuous data flow.
Conditions
- •Opportunity. We are at at the forefront of developing a web-scale crawler and knowledge graph that allows ordinary people to participate in the process, and share in the benefits of AI development.
- •Culture. We’re a lean team working together to achieve a very ambitious goal of improving access to public web data and distributing the value of AI to the people. We prioritize low ego and high output.
- •Compensation. You’ll receive a competitive salary and equity package.