Requirements and responsibilities
Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.Key Responsibilities:Design, develop, and maintain robust web scraping scripts and applicationsPerform data extraction from multiple websites, handling both static and dynamic contentClean, validate, and structure large volumes of scraped data for further analysisMonitor scraping pipelines for data quality and troubleshoot scraping failuresImplement solutions to bypass anti-scraping mechanisms and maintain scraping effectivenessCollaborate with customer’s team members to define data requirements and deliverablesDocument scraping processes and maintain code for scalability and reusabilityRequired Skills and Qualifications:Proven experience in building and maintaining web scrapers using tools such as Python, Scrapy, Selenium, or similar technologiesStrong understanding of HTML, CSS, JavaScript, and web protocolsExpertise in handling APIs, RESTful interfaces, and parsing JSON/XML dataExcellent written and verbal communication skills, with the ability to convey technical information clearlyProficiency with data cleaning, manipulation, and storage using relational or NoSQL databasesKnowledge of web security concepts and best practices for ethical scrapingDemonstrated ability to troubleshoot and resolve issues autonomouslyPreferred Qualifications:Experience with cloud-based scraping and deployment (AWS, Azure, or GCP)Familiarity with version control systems like GitBackground in large-scale data extraction projectsRequired Skills: python, scrapy, selenium, html, css, javascript, rest-api, json, xml, data-cleaning, data-manipulation, nosql, relational-databases, web-security
Optionally, you can add more information later (benefits, pre-screening questions, etc.)