Job Description
We are seeking freelance contributors to participate in a search relevance annotation project aimed at improving e-commerce search quality across multiple international markets. The project’s main goal is to build high-quality, human-labelled datasets that help evaluate and improve the performance of search engines. These datasets will be used for machine learning model training, benchmarking, and metric development across diverse global markets. Key responsibilities include evaluating the relevance of product search results, analyzing tasks consisting of search queries and product listings, and following detailed annotation guidelines to ensure high-quality judgments. The compensation will be task-based.