Remote Photo & Visual AI Output Reviewer

AuraOne Human Data; United States; Remote; USD 28,000 - 41,000; Full time

Job summary

AuraOne, Inc. seeks a detail-oriented reviewer to assess photo and visual editors' outputs against a quality rubric. This remote position involves evaluating model responses, labeling edge cases, and providing structured feedback the team can use to retrain.

You will work asynchronously, review paired outputs, assign severity tags, and document recurring failure modes. Ideal candidates have prior evaluation experience, strong written reasoning, and the ability to calibrate against gold-standard

Qualifications

• Prior evaluation, annotation, or human-rater experience on photo and visual editors evaluation or adjacent content for Photo and Visual Editors — Remote AI Output Review work.
• Comfort applying multi-page rubrics consistently across long batches.
• 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 photo and visual editors evaluation model outputs against a versioned rubric and assign severity tags for Photo and Visual Editors — Remote AI Output Review 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.
• Maintain reviewer-quality scores by calibrating against gold-standard examples each week.
• Document recurring failure modes so the modeling team can target them in the next training run.

Skills

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Photo and Visual Editors evaluation

Design

Job description

AuraOne, Inc. seeks a detail-oriented reviewer to assess photo and visual editors' outputs against a quality rubric. This remote position involves evaluating model responses, labeling edge cases, and providing structured feedback the team can use to retrain.

You will work asynchronously, review paired outputs, assign severity tags, and document recurring failure modes. Ideal candidates have prior evaluation experience, strong written reasoning, and the ability to calibrate against gold-standard