Highly skilled and detail-oriented Data Annotation Specialist with over 5 years of hands-on experience in audio, video, image, and text data labeling for AI, NLP, and computer vision model training. Proven track record in improving dataset quality for speech recognition, object detection, and natural language understanding tasks. Adept at executing large-scale annotation projects with precision, consistency, and compliance to client guidelines. Experienced in QA validation, dataset curation, and model feedback loop improvement. Passionate about producing clean, well-structured datasets that enhance AI performance across healthcare, legal, e-commerce, and multimedia domains.