Medical Coding Safety Evaluator

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

Job summary

AI Trainer Jobs is seeking a remote Medical Coding Safety Evaluator to review AI outputs touching clinical review. You will assess differential reasoning, dosing logic, and guidelines adherence, flag safety concerns, and document corrected reasoning for model improvement.

This contract position offers an hourly rate, remote work within the US, and program-defined task pacing with independent specialist contractor status.

Qualifications

• Active or recent license / board certification in clinical review or an adjacent specialty for Medical Coding Safety Evaluator work.
• Hands-on clinical experience reading patient cases and writing structured assessments.
• 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 for Medical Coding Safety Evaluator 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.

Skills

Clinical reasoning

Guideline review

Patient safety

Structured writing

Clinical review

Patient safety

Guideline reasoning

Medical

Coding

Education

License/board certification in clinical review

Job description

Medical Coding Safety Evaluator 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 Coding Safety Evaluator is a remote clinical-review track for evaluating AI outputs that touch clinical review.

About the role

Medical Coding Safety Evaluator 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 Coding Safety Evaluator 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.Track Healthcare review Work model Remote · Independent specialist contractor Compensation Hourly rate confirmed after the interview process. Eligible from US

What you should bring

• Active or recent license / board certification in clinical review or an adjacent specialty for Medical Coding Safety Evaluator 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
• Patient safety
• Guideline reasoning
• Medical
• Coding