Data Labelling Specialist at Intelliscan
Annotated and labeled large datasets to support machine learning and AI model training. Maintained high accuracy and consistency while following strict annotation guidelines. Reviewed and validated labeled data to ensure quality, relevance, and proper protocol adherence. • Labeled datasets according to defined classes/labels • Performed quality checks on annotations • Resolved ambiguities by collaborating with project teams • Contributed to initiatives aimed at improving data quality for model performance