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

hackajob is collaborating with Mercor to connect them with exceptional professionals for this role.

Mercor is working with a leading AI research lab to improve the capabilities of next-generation AI systems. We are seeking experienced Patient Collections and Patient Financial Services leaders to evaluate AI tools designed to improve self-pay revenue recovery and patient financial engagement. Your expertise in self-pay collections, payment plan administration, and patient financial advocacy will directly inform AI systems that optimise patient payment experiences while maximising revenue recovery. Responsibilities - Lead patient collections and self-pay operations including early-out collections, bad debt management, and patient payment plan administration. - Evaluate AI-generated patient financial communication drafts, payment plan recommendations, and self-pay resolution strategies for accuracy and compliance. - Develop and implement self-pay collection strategies across the revenue cycle, including pre-service, point-of-service, and post-service collections. - Manage patient payment plan enrollment, monitoring, and compliance processes. - Coordinate with financial counselling, billing, and bad debt recovery teams to optimise self-pay revenue capture. - Monitor self-pay KPIs including self-pay collection rates, payment plan conversion rates, bad debt write-off rates, and patient satisfaction scores. - Ensure compliance with FDCPA, HIPAA, state collections laws, and internal patient financial assistance policies. - Oversee relationships with collection agencies and early-out vendors as applicable. - Annotate AI outputs and provide structured feedback to support AI training datasets. Requirements - 5+ years of experience in patient collections, self-pay revenue cycle, or patient financial services, with at least 2 years in a leadership role. - Deep knowledge of self-pay collection workflows, FDCPA compliance, and patient financial engagement best practices. - Experience managing early-out and bad debt collection programs, including vendor oversight. - Familiarity with propensity-to-pay tools and patient payment technology platforms. - Proficiency with EHR systems and patient collections/billing platforms. - Exceptional written and verbal English communication skills. - High attention to detail with the ability to evaluate collections strategies and identify issues in AI-generated patient communication content. Preferred Qualifications - CRCR, CHAM, or similar revenue cycle certification. - Experience with digital patient payment platforms and text/email-based collections outreach. - Background in hospital, health system, or physician group patient financial services. - Familiarity with AI tools and comfort evaluating AI-generated patient financial communication content. - Experience implementing propensity-to-pay analytics to prioritise collection efforts. 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 patient financial services and the revenue cycle. - Opportunity to work on high-impact projects shaping the future of healthcare AI.