Medical Specialist

AI Trainer Jobs; United States; Remote; USD 103,000 - 152,000; Full time

Benefits offered by this job

Remote work (US-eligible)

Contractor arrangement

Job summary

AuraOne seeks a Medical Specialist for a remote clinical-review track to evaluate AI outputs touching clinical review. You will grade differential reasoning, dosing logic, and guideline adherence, flag patient-safety issues, and document corrected clinical reasoning so the modeling team can close gaps.

Experience with clinical decision support and scholarly guidelines is valued; remote collaboration and structured writing are essential for consistent case adjudication.

Qualifications

• Active or recent license/board certification in clinical review or 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 clinical review guidelines and standard of care.
• Grade differential reasoning, dosing, and red-flag handling on a structured rubric.
• Flag patient-safety issues with severity tags matching clinical-incident taxonomies.
• Capture corrected clinical reasoning for modeling team training.
• Adjudicate disputed cases against published evidence or specialty guidelines.

Skills

Clinical reasoning

Structured writing

Guideline review

Patient-safety assessment

Async availability

Education

Clinical license/board certification

Job description

Medical Specialist is a remote clinical-review track for evaluating AI outputs that touch clinical review. Reviewers grade differential reasoning, dosing logic, and guideline adherence; flag patient-safety issues; and document the corrected clinical reasoning so the modeling team can close the gap.

Category: Medical & Clinical AI · Pay: $75–$110 / hr · Location: Remote — US-eligible · Contractor

Medical Specialist is a remote clinical-review track for evaluating AI outputs that touch clinical review.

About the role

Medical Specialist is a remote clinical-review track for evaluating AI outputs that touch clinical review. Reviewers grade differential reasoning, dosing logic, and guideline adherence; flag patient-safety issues; and document the corrected clinical reasoning so the modeling team can close the gap.
Clinical review AI is only useful if a credentialed clinician would sign their name to the output. AuraOne uses licensed and credentialed reviewers to set the bar for clinical reasoning, dosing, and guideline adherence in regulated workflows.
Review clinical and biomedical AI outputs. Your safety judgment is the point.

Responsibilities

• Review AI outputs against current clinical review clinical guidelines and standard of care for Medical Specialist 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.

What you should bring

• Active or recent license / board certification in clinical review or an adjacent specialty for Medical Specialist work.
• 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.

Example tasks

• Grade a model's differential-diagnosis reasoning on a clinical review case and write a 2-3 sentence assessment.
• Flag a dosing miscalculation with the right severity tag and corrected dose.
• Adjudicate a disputed case between two reviewers using current specialty guidelines.
• Audit a 25-case batch for rubric consistency and report drift to the program lead.

Useful experience

• Prior work as a guideline reviewer, peer reviewer, or clinical educator.
• Familiarity with AI-assisted clinical decision support and its failure modes.
• Bilingual clinical experience for non-English patient cases.

Compensation and schedule

Hourly rate confirmed after the interview process.
Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.

Skills used in matching

• Clinical reasoning
• Guideline review
• Patient-safety assessment
• Structured clinical writing
• Clinical review
• Healthcare