AI Trainer Jobs is seeking a Data Annotator for a remote evaluation track. Review prompts and responses against AuraOne's quality rubric, compare outputs, and provide structured feedback the modeling team can use to retrain.
You will help turn evaluations into auditable labels, rationales, and regression cases. Responsibilities include tagging edge cases, labeling hallucinations, and calibrating scores against gold standards each week, with at least 10 hours per week of async availability for a
#J-18808-LjbffrRemote Data Evaluator for Model Feedback & Rubrics in workfromhome at Unknown Company
This position is listed as full time and able to be worked remotely.