AI Data Annotator / Human-in-the-Loop AI Contributor (Atlas AI / Remote)
Provided human-in-the-loop support for AI training by producing structured annotations and feedback to improve model behavior. Supported reinforcement learning from human feedback (RLHF) alignment workflows by emphasizing clarity and observable evidence. Performed data quality review and fact-checking to ensure guideline-compliant outputs for downstream training. • Produced structured feedback used in model improvement cycles • Performed quality assurance via validation of factual accuracy and consistency • Ensured annotation outputs met annotation guidelines and policy requirements • Supported AI output evaluation for training dataset reliability