Image Labeling / QA Annotation
Classified AI-generated images by quality level and labeled specific error categories using a defined rubric (e.g., artifacts, distortions, anatomy issues, text errors, lighting/composition problems, and prompt mismatch). Ensured consistent tagging across batches to support dataset quality and model evaluation.