Remote Genomics AI Reviewer — Evaluation & Feedback Specialist

AuraOne, Inc.; United States; Remote; USD 34,000 - 62,000; Full time

Job summary

AuraOne, Inc. is seeking a Genomics AI Reviewer to evaluate genomics AI outputs against our quality rubric.

This remote contractor role involves reviewing paired outputs, labeling edge cases, and writing structured feedback that the modeling team can use to retrain and improve performance across batches. Responsibilities include comparing responses, selecting the stronger answer with a clear rationale, tagging unsafe or misleading content, and documenting recurring failure modes for rubric

Qualifications

• Prior evaluation, annotation, or human-rater experience in genomics AI evaluation or adjacent content.
• 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 genomics AI evaluation model outputs against a versioned rubric and assign severity tags.
• 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.
• Document recurring failure modes so the modeling team can target them in the next training run.

Skills

Genomics evaluation experience

Rubric calibration

Clear written reasoning

Attention to detail

Async availability 10h/wk

Job description

AuraOne, Inc. is seeking a Genomics AI Reviewer to evaluate genomics AI outputs against our quality rubric.

This remote contractor role involves reviewing paired outputs, labeling edge cases, and writing structured feedback that the modeling team can use to retrain and improve performance across batches. Responsibilities include comparing responses, selecting the stronger answer with a clear rationale, tagging unsafe or misleading content, and documenting recurring failure modes for rubric