AI Trainer and Data Labeling Specialist
Assessed and evaluated AI-generated text outputs for accuracy, safety, and alignment with human intent. Provided structured feedback to machine learning teams to improve AI model performance. Curated, annotated, and quality-assured text datasets for responsible AI development.• Ranked and scored model responses using RLHF and response scoring methodologies. • Identified and flagged edge cases and ambiguous content during the annotation process. • Wrote detailed technical documentation and labeling guidelines for team adherence. • Coordinated with multidisciplinary teams to ensure high-throughput and accurate labeling deliverables.