Remote Endocrinology AI Reviewer (Contractor)

AuraOne Human Data; United States; Remote; USD 227,000 - 324,000; Full time

Job summary

AuraOne Human Data is seeking an endocrinologist reviewer to assess AI-generated endocrinology outputs on a remote, contractor basis. You will grade differential reasoning, dosing logic, and guideline adherence, flag patient-safety issues, and document corrected reasoning for model improvement.

Applicants must hold a current license or board certification in endocrinology, have hands-on experience reading cases, and be able to work asynchronously for at least 10 hours per week.

Qualifications

• Active or recent license / board certification in endocrinology or an adjacent specialty.
• Hands-on clinical experience reading patient cases and writing structured assessments.
• Comfort applying multi-page rubrics consistently across long batches.
• Clear written reasoning that cites guidelines, evidence, or standard of care.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Review AI outputs against current endocrinology clinical guidelines and standard of care for Endocrinologist assignments.
• Grade differential reasoning, dosing, and red-flag handling on a structured rubric.
• Flag patient-safety issues with severity tags that match clinical-incident taxonomies.
• Capture the corrected clinical reasoning so the modeling team can train on it.
• Adjudicate disputed cases against published evidence or specialty guidelines.
• Maintain reviewer-quality scores in weekly inter-rater calibration cycles.

Skills

Clinical reasoning

Guideline review

Patient-safety assessment

Structured clinical writing

Endocrinology

Education

Endocrinology license/board certification

Job description

AuraOne Human Data is seeking an endocrinologist reviewer to assess AI-generated endocrinology outputs on a remote, contractor basis. You will grade differential reasoning, dosing logic, and guideline adherence, flag patient-safety issues, and document corrected reasoning for model improvement.

Applicants must hold a current license or board certification in endocrinology, have hands-on experience reading cases, and be able to work asynchronously for at least 10 hours per week.