Remote Medical Coder & AI Validation Auditor

Labela

Washington (Washington County)

On-site

USD 70,000 - 110,000

Full time

12 days ago

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Job summary

Labela is seeking certified U.S. medical coders for high-level coding and documentation consulting. You will serve as a subject matter expert to validate, refine, and audit the coding logic and documentation reasoning of frontier AI models.

This flexible, remote role is designed for practicing coders and auditors to influence accuracy and compliance of medical AI at scale, with project-based hours around a full-time coding schedule.

Qualifications

  • Credentials: Active certification from AAPC or AHIMA, including CPC or CCS.
  • Experience: Minimum of 2 years of production coding, auditing, or CDI experience in inpatient, outpatient, or professional fee settings.
  • Location: Must be based in the United States.

Responsibilities

  • Coding Logic Auditing: Review and refine AI-generated code assignments to ensure alignment with ICD-10-CM, ICD-10-PCS, CPT, and HCPCS Level.
  • High-Complexity Validation: Provide expert-level ground truth for full chart abstractions, including E/M level selection, modifier application, MS-DRG and APC assignment, and HCC risk adjustment capture.
  • Compliance Oversight: Identify unbundling, upcoding, undercoding, NCCI edit violations, and medical necessity gaps in AI outputs that could create audit exposure or claim denials.
  • Strategic Consulting: Advise on the development of AI-driven coding, CDI, and revenue cycle support tools across care settings.

Skills

Medical coding
Auditing
CDI

Education

AAPC/AHIMA CPC/CCS

Job description

Labela is seeking certified U.S. medical coders for high-level coding and documentation consulting. You will serve as a subject matter expert to validate, refine, and audit the coding logic and documentation reasoning of frontier AI models.

This flexible, remote role is designed for practicing coders and auditors to influence accuracy and compliance of medical AI at scale, with project-based hours around a full-time coding schedule.

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