Medical Records Coder for AI Training

Review clinical records, assign medical codes, and help train AI systems to understand diagnoses and procedures. This US remote contractor role pays $50 to $70 per hour. Remote Hourly · $50–$70/hr $50–$70/hr Compensation Contract, part-time Engagement Remote Location Posted Open to applicants in United States The work You will review clinical documentation and apply established medical coding standards to support AI training. The work focuses on helping AI systems interpret diagnoses, procedures, documentation gaps, and coding decisions. You will also give clear feedback on complex cases, identify opportunities to clarify documentation, and communicate with project stakeholders when coding requirements or records are unclear. Review encounter notes, progress notes, operative reports, consults, laboratory and imaging results, and discharge summaries. Assign ICD-10-CM, ICD-10-PCS, CPT, and HCPCS codes from documented clinical information. Identify and sequence principal and secondary diagnoses according to applicable guidelines. Apply modifiers and Present on Admission indicators when appropriate. Flag documentation gaps and query opportunities while preserving data integrity. Provide accurate feedback on complex coding cases and coding guidelines. What it pays and takes This is a remote contractor role for a medical coding professional in the United States. Pay: $50 to $70 per hour. Location: Open to candidates in the United States. Credential: An active AHIMA Certified Coding Specialist, AAPC Certified Inpatient Coder, or AAPC Certified Professional Coder credential is required. Experience: Hands-on medical records coding using ICD-10-CM, ICD-10-PCS, and CPT. Clinical settings: Experience in acute care, outpatient, emergency department, or physician practice settings. Knowledge: Current code sets, Official Guidelines for Coding and Reporting, and AHA Coding Clinic guidance. Skills: Careful attention to detail, sound coding judgment, and strong written and verbal communication. Helpful background: Payer-neutral coding, HCPCS coding, diagnosis sequencing, modifiers, Present on Admission indicators, and recognizing when documentation needs clarification. About AI training work AI training work uses carefully reviewed examples to help artificial intelligence systems understand and respond to real-world information. Medical coding experts are important because their knowledge helps prepare accurate examples involving diagnoses, procedures, documentation, and coding rules. #J-18808-Ljbffr OpenTrain AI, Inc.