[Hiring] Certified Inpatient Medical Coder @YO AI Labs

Role Description

We are seeking a Certified Inpatient Medical Coder to contribute to an AI training project focused on improving medical data accuracy and integrity. In this role, you will apply your expertise in inpatient coding, clinical documentation, and coding guidelines to review medical records and evaluate AI-generated clinical content. Your knowledge will help improve the accuracy and reliability of AI systems.

• Review inpatient medical records to ensure accurate ICD-10-CM and ICD-10-PCS coding in accordance with current guidelines and best practices.
• Assess clinical documentation for accuracy, completeness, and coding integrity.
• Identify principal and secondary diagnoses, sequence codes according to official guidelines, and assign Present on Admission (POA) indicators.
• Validate MS-DRG assignments, identify Complications and Comorbidities (CCs) and Major Complications and Comorbidities (MCCs), and flag Hospital-Acquired Conditions (HACs) and patient safety indicators.
• Evaluate AI-generated clinical notes and summaries against real-world documentation and coding standards.
• Code AI-generated diagnostic and procedural information using ICD-10-CM and ICD-10-PCS classification systems.
• Identify and resolve diagnosis and procedure coding discrepancies to maintain accurate record abstraction and data capture.
• Provide clear, detailed feedback on coding errors and complex cases to improve AI model performance.

Qualifications

• Active coding certification, such as CIC, CCS, RHIA, RHIT, COC, or another relevant AHIMA or AAPC credential.
• Hands-on experience with inpatient ICD-10-CM and ICD-10-PCS coding.
• Access to current official ICD-10-CM/PCS coding references and Coding Clinic guidance.
• Current experience in inpatient medical coding, clinical documentation improvement (CDI), or a closely related documentation role.
• Availability to commit at least 10 hours per week.