Human Labeling Analyst/Data Annotation Specialist
I annotated and labeled high-volume text, image, and audio datasets to train machine learning models with an emphasis on accuracy and quality. My primary focus was on data classification, sentiment analysis, entity recognition, and intent labeling for various NLP tasks. I consistently applied detailed annotation guidelines and conducted rigorous quality assurance reviews. • Collaborated with AI engineers and managers to refine labeling processes. • Utilized annotation tools to streamline workflows and meet deadlines. • Identified and flagged edge cases and ambiguous data to ensure integrity. • Contributed to dataset curation, ensuring diversity and balance for AI training.