Case Management Leader - AI Trainer

Obsidian; Houston (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Mercor partnered with a leading AI research lab to advance utilization management and clinical review for value-based care. The role seeks experienced RN UM directors, case management leaders, and physician advisors to shape AI-enabled decision support and care coordination workflows.

You will lead UM/CM operations, evaluate AI outputs against guidelines, mentor physician advisors, and ensure CMS and payer requirements are met while driving KPI improvements.

Qualifications

• 5+ years in utilisation management, case management, or clinical review with at least 2 years in a leadership role.
• Active RN licensure; physician advisor/MD preferred for certain roles.
• Deep knowledge of InterQual, MCG, or Milliman criteria.
• Excellent written and verbal English communication; strong attention to detail.

Responsibilities

• Lead utilisation management and/or case management operations, including concurrent and retrospective reviews.
• Evaluate AI-generated medical necessity determinations and UM outputs for accuracy and clinical relevance.
• Conduct and oversee reviews against InterQual, MCG, or Milliman guidelines for admission, stay, and level-of-care decisions.
• Manage the physician advisor program to support complex UM cases and peer-to-peer review requests.
• Coordinate with clinical teams, payers, and post-acute providers to facilitate care transitions.
• Monitor UM/CM KPIs such as avoidable days, denial rates, and readmission rates.
• Ensure CMS Participation requirements and payer-specific UM rules are met.
• Collaborate with revenue cycle and leadership to align UM performance with financial and quality objectives.
• Annotate AI outputs and provide structured clinical feedback for AI training datasets.

Skills

Clinical leadership

Clinical review

English communication

Data-driven decisions

Education

RN license

MD/DO preferred

Tools

InterQual

MCG

Milliman

Utilisation software

Job description

Mercor is working with a leading AI research lab to improve the capabilities of next-generation AI systems. We are seeking experienced Utilisation Management and Case Management leaders — including RN UM directors, case management managers, and physician advisors — to evaluate AI tools designed to enhance clinical review, medical-necessity determination, and care-coordination workflows. Your clinical and operational expertise will directly shape AI systems that improve utilisation performance, reduce unnecessary care, and support value-based care objectives.

Responsibilities

• Lead utilisation management and/or case management operations, including concurrent review, retrospective review, discharge planning, and care coordination.

• Evaluate AI-generated medical necessity determinations, clinical review outputs, and UM decision-support recommendations for accuracy and clinical appropriateness.

• Conduct and oversee clinical reviews against InterQual, MCG, or Milliman care guidelines to support admission, continued stay, and level-of-care determinations.

• Manage the physician advisor program to support complex UM cases, peer-to-peer review requests, and denial appeals.

• Coordinate with clinical teams, payers, and post-acute providers to facilitate appropriate care transitions and discharge planning.

• Monitor UM/CM KPIs, including avoidable days, denial rates, observation vs. inpatient conversion rates, and readmission rates.

• Ensure compliance with CMS Conditions of Participation, Two‑Midnight Rule, and payer‑specific UM requirements.

• Collaborate with revenue cycle, compliance, and clinical leadership to align UM performance with financial and quality objectives.

• Annotate AI outputs and provide structured clinical feedback to support AI training datasets.

Requirements

• 5+ years of experience in utilisation management, case management, or clinical review, with at least 2 years in a leadership role.

• Active clinical licensure (RN required; physician advisor/MD preferred) with strong medical necessity review expertise.

• Deep knowledge of InterQual, MCG, or Milliman clinical review criteria.

• Expertise in CMS Two‑Midnight Rule, observation status regulations, and inpatient criteria.

• Experience managing physician advisor programs and peer-to-peer review processes with payers.

• Exceptional written and verbal English communication skills.

• High attention to detail with the ability to critically evaluate clinical documentation and AI‑generated UM outputs.

Preferred Qualifications

• CPUR (Certified Professional in Utilisation Review), ACM (Accredited Case Manager), or CCM (Certified Case Manager) credential.

• MD or DO with UM/physician advisor experience preferred for physician advisor roles.

• Experience with UM software platforms (Allscripts, Utilisation Management software, or equivalent).

• Familiarity with AI tools and comfort evaluating AI‑generated clinical review content.

• Background in health system, ACO, or value‑based care organisation UM 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 utilisation management and clinical decision‑support.

• Opportunity to work on high‑impact projects shaping the future of healthcare AI.