AI Data Annotator
Performed high-accuracy data annotation and quality review on AI training datasets involving code, reasoning, and domain-specific tasks. Evaluated large language model outputs against detailed rubrics, providing structured feedback to improve model accuracy and safety. Maintained annotation consistency for technical content such as Python code, mathematical reasoning, and natural language instructions. • Selected for specialized annotation projects, including the healthcare domain. • Used Outlier (Scale AI) platform for annotation workflows. • Worked with complex, long-form annotation tasks involving technical and domain-specific materials. • Achieved consistently high quality scores recognized by supervisors.