AI Data Labeller at Atlas Capture
Annotated and labeled diverse datasets, including images, to support machine learning model training. Maintained high accuracy and consistency in labeling tasks to meet data quality standards. Applied provided guidelines and ontologies to produce structured, well-categorised training data for AI pipelines. • Labeled image data for ML training and quality assurance. • Ensured consistency across categories and taxonomy rules. • Followed annotation guidelines and ontology structures. • Coordinated with project stakeholders to meet turnaround deadlines.