Remote Data Evaluator for Model Feedback & Rubrics

AI Trainer Jobs; United States; Remote; USD 21,000 - 34,000; Full time

Job summary

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

Qualifications

• Prior evaluation, annotation, or human-rater experience.
• Comfort applying multi-page rubrics consistently across long batches.
• Clear written reasoning that names the issue and rubric clause.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Evaluate data annotator evaluation outputs against a versioned rubric and assign severity tags for Data Annotator assignments.
• Compare paired responses and pick the stronger answer with a written rationale.
• Label hallucinations, instruction-following failures, and unsafe content with structured tags.
• Capture ambiguous prompts and route them back to the program team for rubric updates.

Job description

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