Remote Clinical Content Reviewer — AI Safety & Guidelines

AuraOne, Inc.; United States; On-site; USD 55,000 - 83,000; Full time

Job summary

AuraOne is seeking a Medical Communications Specialist — Clinical Content Review for a remote contractor role in the US. The position entails evaluating AI outputs for clinical accuracy, grading reasoning, and flagging safety issues with structured documentation for model improvements.

Ideal candidates have active clinical licenses, hands-on case review experience, and the ability to apply multi-page rubrics across large batches. 10+ hours weekly async availability is required.

Qualifications

• Active or recent license / board certification in clinical review or an adjacent specialty for Medical Communications Specialist — Clinical Content Review 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.

Responsibilities

• Review AI outputs against current clinical guidelines and standard of care for Medical Communications Specialist — Clinical Content Review 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

Structured writing

Education

Active clinical license or board cert

Job description

AuraOne is seeking a Medical Communications Specialist — Clinical Content Review for a remote contractor role in the US. The position entails evaluating AI outputs for clinical accuracy, grading reasoning, and flagging safety issues with structured documentation for model improvements.

Ideal candidates have active clinical licenses, hands-on case review experience, and the ability to apply multi-page rubrics across large batches. 10+ hours weekly async availability is required.