Inpatient Medical Coder (CCS / CIC)

You will review clinical documentation and annotate coding data for AI training. Your work will help models interpret inpatient coding standards and complex hospital records.

You will work with admission notes, progress notes, operative reports, consultations, laboratory and imaging results, and discharge summaries. You will also explain documentation ambiguities and complex coding decisions clearly in writing and verbally.

• Assign ICD-10-CM and ICD-10-PCS codes from documented clinical information.
• Identify and sequence principal and secondary diagnoses.
• Assign Present on Admission indicators and validate MS-DRG assignments.
• Identify complications and comorbidities, including major complications and comorbidities.
• Apply UHDDS definitions, official ICD-10-CM and ICD-10-PCS guidelines, and AHA Coding Clinic guidance.
• Identify hospital-acquired conditions and patient safety indicators.
• Check annotation accuracy and completeness across inpatient records.

This is a remote, part-time contractor role open to candidates in the United States. The work requires professional fluency in English and inpatient medical coding expertise.

• Pay: $50 to $70 per hour.
• Location: Remote, open to candidates in the United States.
• Language: Professional fluency in English.
• 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 understanding of ICD-10-CM, ICD-10-PCS, and MS-DRG methodology.
• Tools and references: Ability to 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 cases.

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.

AI training is the human work behind artificial intelligence. People review documents, label data, and evaluate model outputs so AI systems can learn from accurate examples; specialized expertise such as medical coding is important when the work involves technical standards and clinical records.

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