Medical Billing Manager

AI Trainer Jobs; United States; Remote; USD 94,000 - 127,000; Full time

Job summary

AI Trainer Jobs is seeking a Medical Billing Manager for a remote clinical-review track that evaluates AI outputs touching clinical review. Reviewers assess differential reasoning, dosing logic, and adherence to guidelines, flag patient-safety issues, and document corrected reasoning for the modeling team.

As a contractor, you will work asynchronously about 10 hours per week, with US eligibility and project-based task pacing.

Qualifications

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

Skills

Clinical reasoning

Guideline review

Patient-safety assessment

Structured clinical writing

Clinical review

Education

Active or recent license / board certification in clinical review

Job description

Medical Billing Manager 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: $80 / hr · Location: Remote — US-eligible · Contractor

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

Role details

Track

About the role

Medical Billing Manager 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 Billing Manager 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 Billing Manager 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.

Role signals

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

$80 / hr
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

Application boundary

Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.

Specialist intake

The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.
- 01 Confirm profile and eligibility details.
- 02 Attach this role deliberately.
- 03 Receive a human review decision or follow-up.
Placement timing depends on program demand and reviewer confirmation.