Consumer Reviewer — AI Output Evaluation

AuraOne; United States; Remote; USD 28,000 - 55,000; Part time

Job summary

AuraOne is seeking a Remote — US-eligible Consumer Reviewer for AI Output Evaluation as a CONTRACTOR. You will evaluate model outputs against a rubric, label edge cases, and write structured feedback to help retrain the model. The role emphasizes explaining reasoning and maintaining calibration across batches.

Responsibilities include comparing responses, tagging unsafe content, and documenting recurring failure modes for rubric improvements. An async, part-time commitment is needed.

Qualifications

• Experience evaluating consumer evaluation or adjacent content using rubrics.
• Clear written reasoning that names the issue and the rubric clause applied.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Evaluate consumer evaluation model outputs against a versioned rubric and assign severity tags.
• Compare paired responses and select the stronger answer with a written rationale.
• Label hallucinations, instruction-following failures, and unsafe content with structured tags.
• Capture ambiguous prompts and route them for rubric updates.
• Maintain reviewer-quality scores by calibration against gold-standard examples.

Skills

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Consumer evaluation

Job description

Category: Frontier Model Evaluation · Pay: Hourly rate confirmed after the interview process · Location: Remote — US-eligible · Contractor

Consumer Reviewer — AI Output Evaluation is a remote evaluation track for reviewing consumer evaluation prompts and responses against AuraOne's quality rubric. Reviewers compare paired outputs, label edge cases, and write the kind of structured feedback the modeling team can use to retrain.

Why this role matters

AI data reviewers help turn consumer evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.

Responsibilities

• Evaluate consumer evaluation model outputs against a versioned rubric and assign severity tags for Consumer Reviewer — AI Output Evaluation 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.

Qualifications

• Prior evaluation, annotation, or human-rater experience on consumer evaluation or adjacent content for Consumer Reviewer — AI Output Evaluation 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.

Example tasks

• Compare two consumer evaluation model responses to the same prompt and pick the stronger one with rationale.
• Tag an unsafe response with the correct policy category and severity.
• Audit a 50-row batch for rubric consistency and report drift to the program lead.
• Propose a rubric clarification after spotting a recurring failure mode.

Nice to have

• Background in linguistics, content moderation, or trust & safety review.
• Experience with inter-rater agreement metrics and calibration cycles.
• Domain expertise that lets you spot subject-matter errors automated checks miss.

Skills

• Model output evaluation
• Rubric-based annotation
• Severity tagging
• Inter-rater calibration
• Consumer evaluation

Work model

Remote — US-eligible. Remote · Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US.

Compensation

Hourly rate confirmed after the interview process.