About this role
Role Overview
Lead and manage professional fee and/or inpatient facility coding operations while evaluating and improving AI-powered coding solutions. This role combines hands-on coding leadership, quality oversight, and annotation of AI-generated outputs to help train next-generation autonomous coding systems, improving accuracy, productivity, and compliance across healthcare settings.
Key Responsibilities
- Oversee professional fee and/or facility inpatient coding operations, ensuring accuracy, productivity, and compliance with coding guidelines.
- Review and evaluate AI-generated coding assignments, including ICD-10-CM/PCS diagnoses and procedure codes, CPT/HCPCS codes, and DRG assignments, for accuracy and regulatory compliance.
- Conduct coding quality audits, identify root causes of errors, and deliver targeted feedback to coding staff and to AI systems.
- Monitor coding performance metrics, including coder productivity, accuracy rates, unbilled accounts, and claim denial rates attributable to coding errors.
- Manage coding workflow queues, work distribution, and turnaround time compliance.
- Ensure adherence to Official Coding Guidelines, CMS regulations, and payer-specific coding requirements.
- Provide ongoing coding education and compliance training to coding staff.
- Collaborate with clinical documentation improvement, billing, and compliance teams to resolve coding-related revenue integrity issues.
- Annotate AI-generated coding outputs and provide structured feedback to support AI training datasets and model improvement.
Qualifications
- Minimum 5 years of medical coding experience, including at least 2 years in a coding manager or HIM leadership role.
- Expert knowledge of ICD-10-CM/PCS, CPT, HCPCS, and the Official Coding Guidelines.
- Proficiency in professional fee (profee) coding and/or facility inpatient coding, including DRG assignment experience.
- Experience conducting coding audits and designing coding quality improvement programs.
- Proficient with coding software such as 3M, Nuance, Optum360, and TruCode, and comfortable working with EHR platforms.
- Exceptional written and verbal English communication skills.
- High attention to detail, with the ability to identify coding errors, compliance risks, and inaccuracies in AI outputs.
Preferred Qualifications
- Credentialed as CPC, CCS, RHIA, or RHIT.
- Experience with computer-assisted coding tools and NLP-based coding platforms.
- Background in inpatient facility coding with DRG optimization experience.
- Familiarity with AI coding tools and demonstrated comfort evaluating AI-generated coding assignments.
- Experience presenting coding performance data and quality metrics to organizational leadership.
Work Terms
- Work location: Remote.
- Employment type: hourly engagement.
Compensation
- Hourly rate: $80 per hour.
Eligibility
- Must meet the qualifications listed above, including the required years of coding and leadership experience.
- Strong written and verbal English communication skills are required, as the role involves reviewing documentation, providing feedback, and annotating AI outputs.
Why Join
- Participate in the development of frontier AI systems for healthcare and collaborate with a leading AI research organization.
- Work on high-impact projects that shape the future of medical coding, revenue integrity, and health information management.