Poste :
Project Summary: We are seeking freelance contributors to participate in a search relevance annotation project aimed at improving e-commerce search quality across multiple international markets. This is a remote, task-based opportunity suitable for individuals with a strong command of the English language and an eye for detail. Your input will directly influence the quality of search algorithms used in retail and e-commerce environments.
Project Objective: 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 :
- Evaluate the relevance of product search results returned for specific queries on e-commerce platforms
- Analyze each task consisting of a search query and a corresponding product listing
- Use provided context (e.g., search query, search category, and marketplace) to make informed judgments
- Review and compare search engine results from multiple sources to determine relevance matches
- Follow detailed annotation guidelines to ensure high-quality, consistent judgments
