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AuraOne, Inc. is seeking an Instruction Tuning Preference Data Reviewer to remotely evaluate model outputs against a versioned rubric and assign severity tags. You will compare paired responses, label edge cases, and provide structured feedback for retraining.
Ideal candidates have prior annotation experience, strong attention to detail, and can work asynchronously at least 10 hours per week from the U.S. This contractor role supports AuraOne’s data quality and safety review workflows.
AuraOne, Inc. is seeking an Instruction Tuning Preference Data Reviewer to remotely evaluate model outputs against a versioned rubric and assign severity tags. You will compare paired responses, label edge cases, and provide structured feedback for retraining.
Ideal candidates have prior annotation experience, strong attention to detail, and can work asynchronously at least 10 hours per week from the U.S. This contractor role supports AuraOne’s data quality and safety review workflows.