English Search Relevance Annotator (Nigeria) Lionbridge • Nigeria • via Lever Freelance Search Relevance Annotator

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.

• 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

• Native or near-native proficiency in one or more of the required project languages (English)
• Strong decision-making skills and previous experience with shopping online
• Ability to follow detailed instructions and quality standards
• Reliable internet access and a computer or laptop for task execution

• Compensation will be task-based and depend on the number of judgments completed
• Flexible work hours; contributors can complete tasks at their own pace within project timelines
• Tasks are completed via a secure online platform; full guidelines are provided

See web results for Lionbridge

Disclaimer: This job description has been formatted by AI for readability. Please verify all details with the employer before applying.