Certified Inpatient Coder AI Reviewer

You will review inpatient medical records and clinical documentation, then assess AI-generated clinical notes, summaries, diagnoses, and procedures against real-world coding requirements. Your feedback will help improve how AI systems interpret medical documentation and coding standards.

• Review records for accurate and complete ICD-10-CM and ICD-10-PCS coding.
• Identify principal and secondary diagnoses, sequence codes under the Official Guidelines, and assign Present on Admission indicators.
• Validate MS-DRG assignments, including CC and MCC identification.
• Flag hospital-acquired conditions and patient safety indicators.
• Code AI-generated diagnostic and procedural information from medical records.
• Resolve diagnosis and procedure coding discrepancies and explain errors or complex cases in writing.

This is a remote, part-time contractor role for candidates in the United States.

• Pay: $50 to $70 per hour.
• Availability: At least 10 hours and less than 20 hours per week.
• Location: Open to candidates in the United States.
• Preferred certifications: Active CIC, CCS, RHIA, RHIT, COC, or a comparable AHIMA or AAPC certification.
• Relevant background: Practical inpatient ICD-10-CM and ICD-10-PCS coding, current inpatient medical coding or clinical documentation improvement work, and knowledge of Official Guidelines, MS-DRG logic, CCs, MCCs, HACs, POA indicators, and patient safety indicators.
• Preferred resources: Current official ICD-10-CM and ICD-10-PCS coding books and Coding Clinic guidance.

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 5 screening questions.

AI training work uses human review to help artificial intelligence learn from accurate examples. In this role, your inpatient coding expertise helps evaluate medical content and improve how AI handles diagnoses, procedures, and documentation.