Patient Financial Services Leader for AI Evaluation
Saidgig
| Company | Saidgig |
| Category | Healthcare |
| Location | — |
| Remote | — |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| First seen | 2 Aug 2026 (the employer did not state a posting date) |
| Last verified | 9 Aug 2026 |
| Source | The employer's own careers page (company_site) |
Description
Role Overview Lead evaluation of AI tools that aim to improve self-pay revenue recovery and patient financial engagement. You will apply hands-on experience in patient collections, payment plan administration, and patient financial advocacy to review AI-generated communications, recommend collection strategies, and provide structured annotations that train next-generation healthcare AI. This role focuses on improving patient payment experiences while maximizing self-pay revenue capture, and offers collaboration with a leading AI research organization on high-impact projects.
Key Responsibilities
• Lead patient collections and self-pay operations, including early-out collections, bad debt management, and administration of patient payment plans.
• Evaluate AI-generated patient financial communication drafts, payment plan recommendations, and self-pay resolution strategies for accuracy, compliance, and effectiveness.
• 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 counseling, billing, and bad debt recovery teams to optimize self-pay revenue capture.
• Monitor self-pay performance metrics, including self-pay collection rates, payment plan conversion rates, bad debt write-off rates, and patient satisfaction scores.
• Ensure adherence to FDCPA, HIPAA, applicable 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.
Qualifications
• Minimum 5 years of experience in patient collections, self-pay revenue cycle, or patient financial services, including at least 2 years in a leadership role.
• Deep knowledge of self-pay collection workflows, FDCPA compliance, and patient financial engagement best practices.
• Proven 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 or 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 or email based collections outreach.
• Background working 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 prioritize collection efforts.
Work Terms
• Location: Remote.
• Employment type: hourly.
Compensation 92 - 92 hourly.