Senior RLHF Preference Data Reviewer - Remote

AI Trainer Jobs; United States; Remote; USD 34,000 - 55,000; Full time

Job summary

AuraOne is seeking an Expert Preference Preference Data Reviewer for remote evaluation of preference data against our quality rubric. You will compare paired outputs, label edge cases, and write structured feedback to retrain the model.

As a remote contractor, you will produce rankings, reward-model feedback, and calibrated human judgment for post-training pipelines. Strong attention to detail and clear reasoning are essential for success.

Qualifications

• Prior evaluation, annotation, or human-rater experience on preference data evaluation.
• Ability to apply multi-page rubrics consistently across long batches.
• Clear written reasoning that names the issue and rubric clause.

Responsibilities

• Evaluate preference data evaluation model outputs against a versioned rubric and assign severity tags.
• Compare paired responses and select the stronger answer with written rationale.
• Label hallucinations, instruction-following failures, and unsafe content with structured tags.
• Capture ambiguous prompts and route them for rubric updates.

Skills

Model output evaluation

Rubric-based annotation

Inter-rater calibration

Preference data evaluation

Attention to detail

Job description

AuraOne is seeking an Expert Preference Preference Data Reviewer for remote evaluation of preference data against our quality rubric. You will compare paired outputs, label edge cases, and write structured feedback to retrain the model.

As a remote contractor, you will produce rankings, reward-model feedback, and calibrated human judgment for post-training pipelines. Strong attention to detail and clear reasoning are essential for success.