Remote Knowledge Retrieval QA Specialist — Evaluation & Feedback

AuraOne; United States; On-site; USD 34,440 - 68,880; Full time

Job summary

AuraOne is seeking a Knowledge Retrieval Research QA Specialist to review and label outputs against a quality rubric, compare paired responses, and document edge cases for retraining. The role emphasizes structured feedback, edge-case labeling, and timely calibration against gold-standard examples.

Remote, US-eligible contractor with flexible weekly hours; strong attention to detail and written reasoning are essential.

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.

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.

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

AuraOne is seeking a Knowledge Retrieval Research QA Specialist to review and label outputs against a quality rubric, compare paired responses, and document edge cases for retraining. The role emphasizes structured feedback, edge-case labeling, and timely calibration against gold-standard examples.

Remote, US-eligible contractor with flexible weekly hours; strong attention to detail and written reasoning are essential.