Data Annotator (Freelance) | Scale AI (2025–Present)
Served as a data annotator on AI training datasets, contributing to machine learning pipelines through review and quality checks of generated content. Evaluated AI model outputs for accuracy, hallucination presence, relevance, and alignment with the intended response quality. Applied rubric-based scoring to assess factual correctness, completeness, and safety across responses. • Annotated and reviewed AI training datasets including text, image, and audio (multimodal support) • Performed quality evaluation of model outputs against predefined rubrics • Rated responses on factual correctness, completeness, and safety dimensions • Provided structured feedback to improve dataset and response quality