Data & AI (QA / Data Annotation)
Performed AI data labeling and quality evaluation for machine learning systems to support model training and performance. Reviewed and assessed generated or provided content against task guidelines to ensure correctness and consistency. Helped improve overall dataset reliability through systematic checks and feedback loops. • Quality evaluation of AI outputs • Compliance with labeling guidelines • Error identification and correction support • Consistency checks across samples