Remote RLHF Evaluation Specialist — Instruction Tuning

AI Trainer Jobs; United States; Remote; USD 28,000 - 48,000; Part time

Job summary

AuraOne is seeking an experienced remote contractor to evaluate instruction tuning reward model outputs according to a versioned rubric. You will compare paired responses, label edge cases, and write structured feedback for the modeling team to retrain.

Responsibilities include labeling hallucinations and unsafe content, capturing ambiguous prompts, and providing calibration through inter-rater discipline. This is a remote, contractor role with hourly compensation to be confirmed after interview.

Qualifications

• Prior evaluation, annotation, or human-rater experience on instruction tuning reward model evaluation.
• Clear written reasoning that names the issue and the rubric clause being applied.
• Strong attention to detail and the ability to flag when a prompt itself is the problem.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Evaluate instruction tuning reward model evaluation model outputs against a versioned rubric and assign severity tags.
• Compare paired responses and provide a written rationale for the stronger answer.
• 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.

Skills

Evaluation experience

Rubrics & criteria understanding

Written reasoning

Attention to detail

Async availability

Inter-rater calibration

Job description

AuraOne is seeking an experienced remote contractor to evaluate instruction tuning reward model outputs according to a versioned rubric. You will compare paired responses, label edge cases, and write structured feedback for the modeling team to retrain.

Responsibilities include labeling hallucinations and unsafe content, capturing ambiguous prompts, and providing calibration through inter-rater discipline. This is a remote, contractor role with hourly compensation to be confirmed after interview.