Data annotation and output validation specialist (described within experience summary)
Supported AI training-related quality workflows through output validation and guideline adherence activities on global platforms. Performed review tasks to verify responses met factual and technical requirements. Contributed to quality control efforts to improve training data reliability. • Verified factual accuracy and technical guideline compliance. • Validated response relevance for project requirements. • Helped maintain quality control through structured checks. • Ensured outputs supported AI training objectives.