We are seeking a Full Stack Developer to design and build a scalable system for aggregating, analyzing, and presenting structured personal accomplishment data (awards, papers, open source contributions, professional roles, etc) from multiple online sources. This role requires expertise in both backend data processing (web scraping, AI model + API integrations) and frontend development (building an intuitive user interface for data visualization). The ideal candidate has experience with optimizing data collection and workflow efficiency. Key Responsibilities: • Develop and implement scalable data aggregation solutions from multiple websites. • Design and maintain APIs for seamless data retrieval and integration. • Use AI models to assist in data collection and verification • Build an intuitive frontend interface for data comparison and visualization. • Automate data pipelines for continuous updates and accuracy. • Ensure compliance with data collection policies and industry best practices. • Optimize system performance for scalability and efficiency. Qualifications: • Full stack development experience, including frontend (React, Vue.js, or similar), web application frameworks (Next.js) and backend (Supabase, Node.js, Postgres, etc). • Proficiency in TypeScript, SQL, web application architecture • Expertise in web scraping frameworks (Selenium, Cheerio, Scrapy, BeautifulSoup, etc.). • Strong foundation of AI models and prompting • Experience with API development and integrations. • Ability to work independently and solve complex data-related challenges. Why Join Us? • Work on a high-impact AI-driven data solution. • Work with luminaries in the field of CS research • Flexible contract role with the potential for long-term collaboration. If you’re passionate about data, full stack development and automation, and want to work on a hard problem with large impact we’d love to hear from you!
Price: $45.0
AI Model Integration Database Development API Integration Web Development React Node.js Web Scraping User Authentication
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