Insurance Verification Manager for AI Model Evaluation

In this role, you will leverage your extensive experience in insurance verification and eligibility management to enhance AI tools aimed at automating front-end revenue cycle operations. Your expertise will play a crucial role in shaping AI models that improve accuracy and efficiency in insurance verification processes. Key Responsibilities

• Oversee insurance verification, eligibility determination, and benefits investigation workflows across commercial, Medicare, Medicaid, and managed care payers.
• Verify patient insurance coverage using payer portals, clearinghouses, and EDI 270/271 real-time eligibility transactions.
• Identify and resolve coordination of benefits issues, coverage gaps, and eligibility discrepancies prior to service delivery.
• Evaluate and annotate AI-generated eligibility verification outputs for accuracy, completeness, and payer compliance.
• Develop and document SOPs for eligibility and benefits verification workflows.
• Monitor KPIs including verification accuracy rates, front-end denial rates related to eligibility, and turnaround times.
• Ensure compliance with payer-specific requirements, CMS guidelines, and HIPAA regulations.
• Identify process gaps and recommend workflow improvements to reduce eligibility-related claim denials.
• Provide structured feedback and annotations to support AI training datasets.

• 5+ years of experience in insurance verification, eligibility and benefits management, or front-end revenue cycle operations, with at least 2 years in a management role.
• Expert knowledge of EDI 270/271 transactions, payer portal navigation, and real-time eligibility tools.
• Strong familiarity with Medicare, Medicaid, and commercial payer eligibility requirements and benefit structures.
• Proficiency with Epic, Cerner, Meditech, or equivalent EHR platforms.
• Experience with clearinghouse platforms such as Availity, Change Healthcare, or similar.
• Exceptional written and verbal English communication skills.
• High attention to detail with the ability to identify subtle discrepancies in coverage data.

• CHAM, CHAA, or equivalent front-end revenue cycle certification.
• Experience with automated eligibility verification tools and RPA solutions.
• Background in denial root cause analysis related to eligibility and coverage errors.
• Familiarity with AI tools and comfort evaluating AI-generated healthcare content.
• Experience presenting eligibility performance data to senior leadership.

• Contribute to the development of frontier AI systems in healthcare.
• Collaborate with a world-class AI research organization.
• Gain exposure to cutting-edge AI workflows in healthcare revenue cycle management.
• Opportunity to work on high-impact projects shaping the future of healthcare AI.