Data Annotator
Contributed to AI training and evaluation projects focused on improving the performance, reliability, and safety of large language models. The work involved annotating and reviewing text and image based data to help refine model alignment with task instructions and quality standards. Supported ongoing, production-level AI data annotation initiatives, worked on multiple task types within text and conversational datasets. Annotated text prompts and responses according to predefined classification schemas, evaluated AI-generated outputs for accuracy, relevance, clarity, and completeness. Identified and flagged errors and provided structured feedback to improve future model performances. High-volume annotation projects and continuous workflow contributing to large-scale datasets used for machine learning model training and evaluation. Strict compliance with detailed annotation and quality guidelines, and adherence to confidentiality, data protection, and ethical AI standards.