Data Annotator | Hugo Academy
Performed high-volume annotation and validation of text, image, and audio datasets to support AI/ML model training. • Applied project-specific annotation guidelines to produce consistent labeled outputs. • Reviewed and validated annotations to detect and correct inconsistencies before data was shipped downstream. • Identified ambiguous or edge-case samples and flagged them using prescribed escalation workflows. • Ensured uniformity and reproducibility across the annotation team through ongoing guideline alignment.