Ophthalmology AI Evaluation Specialist — Clinical Reasoning Review

AuraOne, Inc.; United States; Remote; USD 55,000 - 96,000; Full time

Job summary

AuraOne, Inc. seeks an Ophthalmology AI Evaluation Specialist — Clinical Reasoning Review to remotely review prompts and responses against a quality rubric. You will compare paired outputs, label edge cases, and provide structured feedback for model retraining.

The role emphasizes writing clear rationales, identifying failures, and maintaining calibration against gold-standard examples on a weekly cadence. This is a contractor position requiring US work eligibility.

Qualifications

• Prior evaluation, annotation, or human-rater experience on ophthalmology ai evaluation evaluation or adjacent content for Ophthalmology AI Evaluation Specialist — Clinical Reasoning Review 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 ophthalmology ai evaluation evaluation model outputs against a versioned rubric and assign severity tags for Ophthalmology AI Evaluation Specialist — Clinical Reasoning Review 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 evaluation

Rubric annotation

Severity tagging

Inter-rater calibration

Ophthalmology AI Evaluation evaluation

Healthcare & Life Sciences

AI evaluation

Rubric writing

Expert review

Job description

Ophthalmology AI Evaluation Specialist — Clinical Reasoning Review is a remote evaluation track for reviewing ophthalmology ai evaluation 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 ophthalmology ai evaluation evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.

Responsibilities

• Evaluate ophthalmology ai evaluation evaluation model outputs against a versioned rubric and assign severity tags for Ophthalmology AI Evaluation Specialist — Clinical Reasoning Review 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 ophthalmology ai evaluation evaluation or adjacent content for Ophthalmology AI Evaluation Specialist — Clinical Reasoning Review 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 ophthalmology ai evaluation 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
• Ophthalmology AI Evaluation evaluation
• Healthcare & Life Sciences
• AI evaluation
• Rubric writing
• Expert review

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.