Certified Inpatient Medical Coder - Remote

YO AI Labs; New York (NY); Remote; USD 55,000 - 83,000; Full time

Job summary

YO AI Labs is seeking a Certified Inpatient Medical Coder to contribute to an AI training project focused on improving medical data accuracy and integrity. You will review inpatient records and AI-generated notes to ensure ICD-10-CM/PCS coding aligns with guidelines and CDI standards.

The role requires active credentials (CIC/CCS/RHIA/RHIT/COC) and hands-on experience with inpatient coding, with a commitment of at least 10 hours per week. Remote work within the United States is offered.

Qualifications

• Active certification in a relevant credential (CIC, CCS, RHIA, RHIT or COC).
• Hands-on inpatient ICD-10-CM/PCS coding experience.
• Access to current ICD-10-CM/PCS references and Coding Clinic guidance.
• Experience CDI or related documentation role.

Responsibilities

• Review inpatient records for accurate ICD-10-CM/PCS coding per guidelines.
• Assess documentation for accuracy, completeness, and coding integrity.
• Identify principal/secondary diagnoses and sequence codes per official guidelines.
• Validate MS-DRG assignments, CCs/MCCs, HACs, and safety indicators.
• Evaluate AI-generated notes against documentation standards.
• Code AI-generated information using ICD-10-CM/PCS classifications.
• Resolve coding discrepancies to maintain accurate data capture.
• Provide clear feedback on errors to improve model performance.

Skills

Inpatient ICD-10-CM/PCS coding

CDI

AI model feedback

POA/MS-DRG validation

Education

CIC/CCS/RHIA/RHIT/COC

Tools

ICD-10-CM/PCS references

Coding Clinic guidance

Job description

Job Description

Job Title: Certified Inpatient Medical Coder

Role Type: Contractor
Location: Remote, United States

Job Summary

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.

Key Responsibilities

1. Review inpatient medical records to ensure accurate ICD-10-CM and ICD-10-PCS coding in accordance with current guidelines and best practices.
2. Assess clinical documentation for accuracy, completeness, and coding integrity.
3. Identify principal and secondary diagnoses, sequence codes according to official guidelines, and assign Present on Admission (POA) indicators.
4. 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.
5. Evaluate AI-generated clinical notes and summaries against real-world documentation and coding standards.
6. Code AI-generated diagnostic and procedural information using ICD-10-CM and ICD-10-PCS classification systems.
7. Identify and resolve diagnosis and procedure coding discrepancies to maintain accurate record abstraction and data capture.
8. Provide clear, detailed feedback on coding errors and complex cases to improve AI model performance.

Preferred Qualifications

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