AI Trainer & Data Annotation Specialist — Outlier AI (Remote)
Evaluated AI-generated responses for accuracy, relevance, and safety while following provided guidelines. Performed prompt assessment and ranking tasks to improve model performance during training and evaluation cycles. Reviewed datasets to ensure adherence to annotation requirements and maintained consistent quality across tasks. • Accuracy and safety checks for model outputs • Prompt ranking and assessment per rubric • Dataset guideline compliance verification • Structured feedback to support ML training processes