Data Annotator at Hugo Otaku
Labeled and annotated datasets according to project guidelines to support machine learning model training. Performed quality control and validation checks to ensure label precision and consistency across the dataset. Collaborated with cross-functional teams to clarify requirements and refine annotation strategies based on feedback and evolving needs. • Interpreted ambiguous inputs using domain knowledge during annotation • Updated and improved annotation processes over time • Ensured annotated data met specified accuracy criteria • Provided feedback on data annotation approaches