Data Labeling & AI Evaluation Contributor at Appen (Remote)
Contributed to data labeling, annotation, and evaluation work to support the development and improvement of AI and machine learning models. Executed UHRS tasks including search engine evaluation, content relevance assessment, data categorization, and quality review to ensure outputs met project guidelines. Performed ongoing data validation and quality assurance checks for compliance, accuracy, and user intent alignment across multiple projects. • Evaluated search results, advertisements, and web content for relevance, accuracy, and user intent alignment • Categorized and reviewed content outputs according to detailed project requirements • Conducted data validation and quality assurance for consistency with performance standards • Followed confidentiality, data security, and quality control procedures while maintaining high accuracy and productivity