Inpatient Medical Coding Reviewer

You will review clinical documentation and annotate coding data to help AI systems understand inpatient medical coding standards. The records may include admission and progress notes, operative reports, consultations, laboratory and imaging results, and discharge summaries.

• Assign accurate ICD-10-CM and ICD-10-PCS codes from documented clinical information.
• Identify principal and secondary diagnoses, sequence codes, and assign Present on Admission indicators.
• Validate MS-DRG assignments, including complications and comorbidities and major complications and comorbidities.
• Apply UHDDS definitions, official ICD-10-CM and ICD-10-PCS coding guidelines, and AHA Coding Clinic guidance.
• Identify hospital-acquired conditions and patient safety indicators.
• Check annotation accuracy and completeness, and explain documentation ambiguities and complex coding cases clearly.

What it pays and takes

This is part-time contract work. The role is listed as entry level, with the required credential and inpatient coding experience described below.

• Pay: $50 to $70 per hour.
• Work type: Part-time contract work.
• Location: Open to candidates in selected countries across the Americas, Europe, Asia, Africa, and the Middle East.
• Language: English fluency is required.
• Credential: An active AHIMA Certified Coding Specialist or AAPC Certified Inpatient Coder credential is required.
• Experience: Hands-on inpatient coding experience is required.
• Knowledge: Strong knowledge of ICD-10-CM, ICD-10-PCS, and MS-DRG methodology.
• Skills: Interpret varied clinical documentation, handle complex inpatient coding questions, communicate clearly in writing and verbally, and use current code sets, official coding guidance, and MS-DRG grouper tools.
• Helpful background: Acute care, teaching hospital, specialty unit, surgical, trauma, oncology, cardiology, or transplant experience.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site. OpenTrain is a platform where people find AI training and data-labeling work, create a profile, and apply to projects.

About AI training work

AI training is the human work behind artificial intelligence. People review and label examples, including clinical records, so models can learn to interpret information more accurately; specialized experience matters because the work depends on applying professional standards consistently.