Inpatient Coder AI Training Expert

You will help evaluate and improve AI systems used for healthcare administrative work. The role combines inpatient coding judgment with review and correction of AI-generated clinical content.

You will work with clinical documentation, AI-generated notes and summaries, assigned codes, and prompts covering billing, insurance, prior authorization, scheduling, and regulatory compliance.

• Review inpatient clinical documentation for accuracy, completeness, and coding integrity.
• Compare AI-generated notes and summaries with clinical documentation and coding standards.
• Check that assigned codes match the underlying clinical documentation.
• Write prompts that test AI performance on healthcare administrative scenarios.
• Correct code or data outputs that do not meet appropriate standards.

What it pays and takes

This is a remote contractor opportunity for professionals based in the United States. The work is part time and requires at least 10 hours per week, with less than 20 hours per week listed.

• Pay: $50 to $70 per hour equivalent, paid per task that meets project specifications.
• Location: Open to candidates in the United States.
• Schedule: At least 10 hours per week and less than 20 hours per week.
• Certification: An active coding certification such as CIC, CCS, or CPC is required.
• Experience: Inpatient ICD-10-CM coding experience is required.
• Knowledge: Working knowledge of DRG, MCC and CC, and POA concepts.
• Medical records: Experience reviewing and abstracting information from electronic medical records is required.
• Skills: Strong analytical ability and the ability to interpret complex clinical documentation.
• Helpful background: Familiarity with facility coding operations and healthcare administrative workflows.

How it works

You apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training is the human work behind systems that learn from examples, including reviewing documents, rating model results, and correcting errors. People with specialized experience are needed to judge whether AI outputs are accurate and useful in fields such as healthcare coding.