Data Annotator — luel.ai
Performed image, text, and video annotation to build high-quality training datasets for machine learning models using defined labeling guidelines. Validated and cleaned labels through active learning and quality assurance workflows to reduce label noise. Contributed to improving downstream model accuracy through consistent, reliable annotation. • Annotated image, text, and video data for ML training pipelines • Applied active learning to focus labeling on informative samples • Performed quality assurance checks to ensure label consistency • Supported dataset creation for model training and evaluation