Knowledge Retrieval Research QA Specialist

AuraOne, Inc.; United States; Remote; USD 34,000 - 55,000; Full time

Benefits offered by this job

Remote work (US-eligible)

Contractor employment

Job summary

AuraOne, Inc. is seeking a Knowledge Retrieval Research QA Specialist as a remote contractor to review prompts and model outputs against AuraOne's quality rubric. You will label edge cases, write structured feedback, and help retrain the evaluation system.

Responsibilities include comparing paired responses, labeling hallucinations and safety issues, and calibrating scores against gold standards. This role requires strong written reasoning and reliable async availability for at least 10 hours

Qualifications

• Experience in evaluation, annotation, or human-rater work on knowledge retrieval QA or related content.
• Ability to apply multi-page rubrics consistently across long batches.
• Clear written reasoning that names the issue and cites the rubric clause.
• Strong attention to detail and ability to flag when prompts are the problem.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Evaluate outputs against rubric and assign severity tags.
• Compare paired responses and select the stronger one with rationale.
• Label hallucinations, instruction-following failures, and unsafe content with structured tags.
• Capture ambiguous prompts and route to program team for rubric updates.
• Calibrate reviewer scores against gold-standard examples weekly.
• Document recurring failure modes for model improvement.

Skills

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Knowledge Retrieval Research QA eval

Web research

Source grounding

Browser automation

Knowledge

Retrieval

Job description

Knowledge Retrieval Research QA Specialist is a remote evaluation track for reviewing knowledge retrieval research qa 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 knowledge retrieval research qa evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.

Responsibilities

• Evaluate knowledge retrieval research qa evaluation model outputs against a versioned rubric and assign severity tags for Knowledge Retrieval Research QA Specialist 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 knowledge retrieval research qa evaluation or adjacent content for Knowledge Retrieval Research QA Specialist 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 knowledge retrieval research qa 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
• Knowledge Retrieval Research QA evaluation
• Web research
• Source grounding
• Browser automation
• Knowledge
• Retrieval

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.

Prior evaluation, annotation, or human-rater experience on knowledge retrieval research qa evaluation or adjacent content for Knowledge Retrieval Research QA Specialist 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.