Certified Coding Specialist (CCS) AI Data Reviewer

You will review inpatient medical records and clinical documentation to assess coding accuracy, completeness, and integrity. You will also evaluate AI-generated clinical notes, summaries, diagnoses, procedures, and patient information against real-world records.

The work includes identifying and resolving diagnosis and procedure coding discrepancies, then entering AI-generated patient information into computerized inpatient and outpatient medical record databases.

• Review inpatient records for accurate ICD-10 and CPT coding.
• Assess documentation for completeness and coding integrity.
• Compare AI-generated clinical information with real-world medical records.
• Identify and resolve diagnosis and procedure coding discrepancies.
• Review AI-generated notes and summaries for accuracy.
• Enter AI-generated patient information into medical record databases.

What it pays and takes

This is a remote contractor role for professionals located in the United States. The listed schedule is part time, with availability of less than 20 hours per week.

• Pay: $50 to $70 per hour.
• Location: Open to candidates in the United States.
• Schedule: Part time, less than 20 hours per week.
• Language: Fluent in English.
• Certification: Active CCS, CIC, COC, RHIA, RHIT, or comparable AHIMA or AAPC coding certification.
• Experience: Practical ICD-10 coding experience, including inpatient records.
• Current work in medical coding or clinical documentation improvement.
• Access to current official ICD-10 and CPT coding books and E&M guidelines.

How it works

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

About AI training work

AI training work uses human review to help improve artificial intelligence, including checking documents, evaluating model responses, and reviewing generated content. Specialized projects can pay more when they require professional knowledge such as clinical coding, because accurate expert judgment is essential.