AI Data Contributor, OneForma (Remote)
Evaluated AI-generated outputs for accuracy, relevance, coherence, and safety according to project guidelines. Performed data labeling and annotation across multiple datasets, ensuring consistency across complex instructions. Reviewed labeled datasets to confirm correctness, completeness, and uniform labeling standards. • Accuracy and relevance checks on AI outputs • Labeling/annotation with guideline adherence • Quality assurance for consistency and completeness • Safety and coherence evaluation