AI Trainer
As an AI Trainer at Outlier, I annotate datasets using detailed taxonomies, focusing on instruction following, tone, and logical coherence. My work involves deep research to verify claims, identifying and correcting hallucinations, and providing structured, evidence-based justifications for model assessments. I consistently maintain high standards for data quality and accuracy in all annotation tasks. • Annotated diverse text datasets for natural language processing tasks. • Evaluated model outputs according to predefined criteria for AI alignment. • Researched and validated factual claims to improve model reliability. • Provided structured feedback to enhance AI performance and safety.