Self-Pay Collections Leader - Remote | Upto $92/hr
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: Patient Financial Services Leader
Type: Contract
Compensation: $92/hour
Location: Remote
Role Responsibilities
- Lead patient collections and self-pay operations, including early-out collections and bad debt management.
- Evaluate AI-generated patient financial communication drafts and self-pay resolution strategies for accuracy.
- Develop and implement self-pay collection strategies across the revenue cycle.
- 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 KPIs, including collection rates and patient satisfaction scores.
- Ensure compliance with FDCPA , HIPAA , state collections laws, and internal policies.
- Oversee relationships with collection agencies and early-out vendors.
- Annotate AI outputs and provide structured feedback to support AI training datasets .
Qualifications
Must-Have
- 5+ years of experience in patient collections, self-pay revenue cycle, or patient financial services.
- At least 2 years in a leadership role.
- Deep knowledge of self-pay collection workflows and FDCPA compliance.
- Experience managing early-out and bad debt collection programs.
- 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.
Preferred
- CRCR , CHAM , or similar revenue cycle certification.
- Experience with digital patient payment platforms.
- Background in hospital, health system, or physician group patient financial services.
- Familiarity with AI tools and comfort evaluating AI-generated content.
- Experience implementing propensity-to-pay analytics.
Application Process (Takes 20โ30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check:
- For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas