AI Data Labeler & Annotation Specialist / AI Trainer & Data Annotator (Outlier, Handshake AI, Telus International, OneForma, Luel AI, Mercor)
Performed rubric-based evaluation and annotation of AI-generated responses across multiple task types. Labeled workplace and scenario datasets using structured classifications and ensured each label included concise, defensible reasoning. Applied consistent quality standards to improve reliability of labeled data used for AI training.• Assessed accuracy, relevance, tone, and safety using structured rubrics.• Used yes/no/undecidable classifications for structured workplace scenarios.• Wrote concise justifications to support each annotation decision.• Supplied consistent RLHF feedback to support model improvement.