Prior Authorisation Manager (Train AI Models Part Time!)
hackajob · United States · 2 wk ago
RemoteRemoteManagementFull-time
Responsibilities
- Manage end-to-end prior authorisation workflows for medical and clinical services across multiple payer types.
- Review clinical documentation to assess medical necessity against InterQual, MCG, or payer-specific criteria.
- Evaluate AI-generated prior authorisation recommendations and clinical justification drafts for accuracy and appropriateness.
- Cookordinate with clinical staff, physicians, and payers to obtain timely authorisation approvals.
- Track authorisation status, denials, and appeal outcomes to identify workflow improvement opportunities.
- Develop and maintain SOPs for prior authorisation submission, follow-up, and escalation processes.
- Monitor KPIs including authorisation approval rates, turnaround times, and denial rates.
- Ensure compliance with payer requirements, CMS guidelines, and clinical review criteria.
- Annotate AI outputs and provide structured clinical feedback to support AI training datasets.
Requirements
- 5+ years of experience in prior authorisation, utilisation management, or clinical review, with at least 2 years in a management role.
- Strong clinical background with knowledge of medical necessity criteria (InterQual, MCG, or equivalent).
- Deep familiarity with commercial, Medicare Advantage, and Medicaid prior authorisation requirements.
- Experience managing authorisation workflows across multiple specialities and service types.
- Proficiency with authorisation management systems and EHR platforms (Epic, Cerner, or equivalent).
- Exceptional written and verbal English communication skills.
- High attention to detail with the ability to critically evaluate clinical documentation and AI-generated outputs.
Preferred Qualifications
- Clinical licensure (RN, LPN, or equivalent) or relevant certification (CPUR, CPUM).
- Experience with appeals and peer-to-peer review processes.
- Familiarity with CMS prior authorisation rules and the No Surprises Act.
- Background in physician office, hospital, or health plan prior authorisation operations.
- Familiarity with AI tools and comfort evaluating AI-generated clinical content.
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.