Medical Records Coder — AI Clinical Coding Review

AuraOne Human Data; United States; Remote; USD 34,000 - 62,000; Full time

Benefits offered by this job

Prior guideline reviewer experience

Familiarity with AI-assisted clinical决

Bilingual clinical experience

Job summary

AuraOne, Inc. seeks a remote Medical Records Coder – AI Clinical Coding Review to evaluate AI outputs in a clinical review context. You will assess reasoning, dosing logic, and guideline adherence while flagging patient-safety issues, documenting corrected reasoning for model improvement.

This contractor role requires an active license, hands-on case review experience, and reliable async availability for at least 10 hours per week. Compensation is hourly and discussed after interview.

Qualifications

• Active or recent license / board certification in clinical review 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 clinical review clinical guidelines and standard of care for Medical Records Coder — AI Clinical Coding 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 assessment

Structured clinical writing

Clinical review

Healthcare

Education

Active or recent license / board certification in clinical review or adjacent specialty

Job description

Medical Records Coder — AI Clinical Coding Review 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.

Why this role matters

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.

Responsibilities

• Review AI outputs against current clinical review clinical guidelines and standard of care for Medical Records Coder — AI Clinical Coding 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.

Qualifications

• Active or recent license / board certification in clinical review or an adjacent specialty for Medical Records Coder — AI Clinical Coding 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.

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.

Nice to have

• 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.

Skills

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

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.

Application process

Apply through AuraOne's specialist intake for role-specific routing and review. Final project scope, schedule, and contractor terms are confirmed before placement.

Active or recent license / board certification in clinical review or an adjacent specialty for Medical Records Coder — AI Clinical Coding 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.