Patient Financial Clearance Leader (Train AI Models Part Time!)

Responsibilities

• Lead patient financial counselling and financial clearance operations including charity care screening, financial assistance applications, and self-pay resolution.
• Evaluate AI-generated financial counselling recommendations, eligibility screening outputs, and patient communication drafts for accuracy and appropriateness.
• Screens patients for Medicaid eligibility, charity care qualification, and financial assistance program enrollment.
• Counsel patients on financial obligations, payment plan options, and available assistance programs.
• Cookordinate with social work, case management, and billing teams to address complex patient financial situations.
• Develop and maintain SOPs for financial clearance workflows, including pre-service financial screening and point-of-service collections.
• Monitor KPIs including charity care conversion rates, financial assistance enrollment, and point-of-service collection performance.
• Ensure compliance with regulatory requirements for financial assistance programs (501(r) regulations, EMTALA).
• Annotate AI outputs and provide structured feedback to support AI training datasets.

Requirements

• 5+ years of experience in patient financial counselling, financial clearance, or self-pay revenue cycle management, with at least 2 years in a leadership role.
• Deep knowledge of charity care programs, financial assistance eligibility, Medicaid screening, and self-pay collections.
• Familiarity with 501(r) regulatory requirements and hospital financial assistance policy compliance.
• Experience with point-of-service collections, payment plan administration, and patient financial advocacy.
• Proficiency with EHR platforms (Epic, Cerner) and financial assistance management tools.
• Exceptional written and verbal English communication skills.
• High attention to detail with the ability to evaluate financial documentation and AI-generated outputs.

Preferred Qualifications

• Certified Revenue Cycle Representative (CRCR) or similar revenue cycle certification.
• Experience with presumptive eligibility screening tools and Medicaid enrolment facilitation.
• Background in hospital, health system, or federally qualified health centre (FQHC) settings.
• Familiarity with AI tools and comfort evaluating AI-generated patient financial content.
• Experience developing patient financial education materials and staff training programs.

Why Join?

• Contribute to the development of frontier AI systems in healthcare.
• Collaborate with a world-class AI research organisation.
• 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.

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