Multimodal Data Review & Quality Control for AI Datasets
Performed data review and quality control tasks across multimodal datasets, including text, images, and short videos. Evaluated labeled data for correctness, consistency, and adherence to project-specific guidelines. Identified labeling errors, incomplete annotations, and instruction deviations. Ensured datasets met quality requirements before acceptance, supporting reliable downstream AI model training.