AI Data Annotation Specialist
Labeled and annotated large-scale datasets for NLP, computer vision, and RLHF pipelines as part of AI data preparation. Evaluated AI-generated outputs for quality, safety, and alignment and documented structured feedback for iterative model improvements. Developed and refined annotation guidelines and style guides used across a multi-annotator team. • Maintained annotation accuracy above 97% across NLP/CV/RLHF datasets • Conducted quality, safety, and alignment evaluations with actionable feedback • Interpreted edge cases with ML engineers and resolved data ambiguities • Produced weekly performance reports and data quality summaries for stakeholders