Freelance AI Data Labeling Specialist (Remote, 2023–Present)
Annotated and categorized datasets to support AI and machine learning training workflows across text, image, and video data. Performed quality assurance to maintain annotation accuracy and consistency, including reviewing datasets for errors, duplicates, and inconsistencies prior to model training. Used detailed project annotation guidelines to label objects, scenes, and entities using classification systems and bounding box formats. • Object/scene/entity labeling for training datasets • Bounding box and classification-based annotations • QA checks for accuracy, consistency, and dataset readiness • Pre-training review for errors, duplicates, and guideline adherence