Video Search Relevance AI Evaluator
Worked on evaluating and enhancing the relevance of AI-powered video search algorithms using data labeling and rating tasks. Focused on refining video search outputs to optimize user experience and content accuracy. Collaborated with a cross-functional team to provide granular feedback for iterative AI improvements. • Labeled and rated thousands of video search results for relevance and accuracy. • Employed internal/proprietary tools for annotation and evaluation tasks. • Coordinated with data scientists to assess the effect of labeling on search performance. • Helped train AI models to better understand video content and ranking.