AuraOne Human Data is seeking a remote contract UX Research Quality Evaluator to help ensure that prompts and model outputs meet a consistent quality standard. The role centers on reviewing materials against AuraOne's quality rubric, comparing paired responses, labeling edge cases, and delivering structured feedback to support retraining. Calibration, documenting failure modes, and routing ambiguous prompts to the program team are key components of maintaining a precise, scalable evaluation process.
Responsibilities
- Review UX research quality evaluation model outputs against a versioned rubric and apply severity tags for UX Research Quality Evaluator tasks.
- Compare paired responses and select the stronger answer, accompanied by a written rationale.
- Label hallucinations, instruction-following failures, and unsafe content using 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 on a weekly basis.
- Document recurring failure modes to guide the modeling team in the next training run.
Requirements
- Past experience as an evaluator, annotator, or human rater in UX research quality evaluation or related content for UX Research Quality Evaluator work.
- Comfort applying multi-page rubrics consistently across long batches.
- Clear written reasoning that identifies the issue and the applicable rubric clause.
- Strong attention to detail and the ability to flag when the prompt itself is problematic.
- Reliable asynchronous availability for at least 10 hours per week.
Why this role matters
AI data reviewers transform UX research quality evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data, enabling traceable quality improvements and robust retraining cycles.
Example tasks
- Compare two UX research quality evaluation model responses to the same prompt and identify the stronger one with a 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.
- Suggest a rubric clarification after spotting a recurring failure mode.
Nice to have
- Background in linguistics, content moderation, or trust and safety review.
- Experience with inter-rater agreement metrics and calibration cycles.
- Domain expertise that helps detect subject-matter errors that automated checks miss.
Skills
- Model output evaluation
- Rubric-based annotation
- Severity tagging
- Inter-rater calibration
- UX Research Quality evaluation
- Creative review
- Production quality
- Design critique
- Research
Work model
Remote eligible in the United States. Independent specialist contractor working on a CONTRACTOR basis. Applicants must be authorized to work from the US.
Compensation
Hourly rate is confirmed after the interview process.
Application process
Submit an application through AuraOne's specialist intake to ensure role-specific routing and review. Final project scope, schedule, and contractor terms are confirmed before placement.
