Data Annotator — Data annotation, classification, and QA for AI/ML training datasets
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PolygonPerformed multi-modal data annotation and labeling for machine learning and AI model training according to project guidelines. Applied visual labeling techniques including bounding boxes, polygons, semantic segmentation, and key point labeling, and tagged/categorized text for NLP tasks. Conducted quality assurance checks and maintained dataset accuracy by identifying and correcting inconsistencies or annotation errors. • Labeled images, text, audio, and video with project-specific labels and taxonomy. • Used bounding boxes, polygons, semantic segmentation, and key point labeling for image annotation. • Classified and tagged text data for natural language processing (NLP). • Followed annotation guidelines and collaborated with QA analysts and project managers on discrepancies.