[Hiring] Medical Coder @Donato Technologies Inc

Role Description

We are seeking experienced Medical Coders and Clinical Documentation Improvement (CDI) Specialists to support an AI training and evaluation project. The selected candidate will use their expertise in medical coding, clinical documentation, billing, and revenue cycle management to help train AI models to accurately interpret medical records, identify coding errors, and evaluate documentation quality. This is a remote, non-patient-facing position focused on medical record analysis and AI quality evaluation.

Key Responsibilities

• Review patient medical records and clinical documentation.
• Validate diagnosis and procedure coding accuracy.
• Review ICD-10-CM, ICD-10-PCS, and CPT coding assignments as applicable.
• Identify missing documentation, coding discrepancies, and clinical inconsistencies.
• Review clinical documentation for accuracy, completeness, and compliance.
• Evaluate AI-generated coding and CDI recommendations.
• Develop complex medical coding and documentation scenarios for AI training.
• Review billing, denials, and revenue cycle-related cases.
• Provide expert feedback and corrections to improve AI model accuracy.

Qualifications

• Minimum 3 years of medical coding, CDI, or related revenue cycle experience.
• Active or current recognized professional credential appropriate to the specialty, such as CPC, CCS, CDIP, or CCDS.
• Strong understanding of US medical coding and clinical documentation standards.
• Experience with ICD-10-CM, CPT, and related coding guidelines.
• Knowledge of medical necessity, payer requirements, and documentation compliance.
• Strong analytical and written communication skills.

Preferred Qualifications

• Experience with inpatient or outpatient coding.
• Knowledge of DRG, denials management, and clinical validation.
• Experience with coding audits and documentation improvement.
• Familiarity with Epic or other healthcare documentation systems.

Requirements

• Location: Remote – USA
• Experience: 3+ years
• Work Commitment: Full-time (40 hours/week) or Part-time (20 hours/week)
• Schedule: Must have 4 hours of PST overlap