AI Data Labeling and Annotation Specialist
Contributed to AI training initiatives by annotating, classifying, and validating large volumes of text data to improve machine learning model performance. Responsibilities included applying detailed annotation guidelines, categorizing content accurately, identifying and correcting inconsistencies within datasets, and conducting quality assurance reviews to maintain high labeling standards. Worked with structured and unstructured datasets using spreadsheet and database tools, ensuring timely completion of tasks while consistently meeting project accuracy requirements. Collaborated with remote teams to address ambiguities, provide feedback on labeling processes, and support the development of high-quality datasets for natural language processing applications.