Visual Quality Reviewer (Super Resolution) — Remote

AuraOne; United States; On-site; USD 82,656 - 123,984; Full time

Job summary

AuraOne seeks a remote Visual Quality Reviewer (Super Resolution) to evaluate model outputs, apply a structured rubric, and provide actionable feedback. The role involves comparing paired responses, labeling issues, and routing ambiguous prompts to improve rubrics for ongoing training.

Ideal candidates have prior experience in visual quality evaluation, strong attention to detail, and reliable weekly async availability of at least 10 hours.

Qualifications

• Prior evaluation, annotation, or human-rater experience on visual quality evaluation or adjacent content for Visual Quality Reviewer (Super Resolution) 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 visual quality evaluation model outputs against a rubric and assign severity tags.
• Compare paired responses and pick the stronger one with 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

Visual Quality evaluation

Job description

AuraOne seeks a remote Visual Quality Reviewer (Super Resolution) to evaluate model outputs, apply a structured rubric, and provide actionable feedback. The role involves comparing paired responses, labeling issues, and routing ambiguous prompts to improve rubrics for ongoing training.

Ideal candidates have prior experience in visual quality evaluation, strong attention to detail, and reliable weekly async availability of at least 10 hours.