Data Labeller at Atlas Label
Served as a Data Labeller supporting dataset preparation for downstream AI work. Focused on organizing, annotating, and validating items to improve training data quality. Helped maintain consistency and accuracy across labeled samples for machine learning use. • Annotated data items as part of a labeling workflow • Performed quality checks/validation on labeled outputs • Contributed to preparing datasets for AI model training • Followed labeling guidelines and documentation