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Healthcare & Life Sciences
Physician Utilization Review Expert
Job Description
Review medical-necessity, level-of-care, utilization-management, and physician-advisor reasoning using de-identified clinical cases. Evaluate whether AI-generated determinations accurately connect clinical facts, treatment intensity, expected course, and applicable review criteria. Identify missing documentation, unsafe assumptions, inappropriate status recommendations, and cases that require peer-to-peer or specialist escalation. Explain corrections using clear physician reasoning while preserving uncertainty and avoiding unsupported clinical conclusions. Remote, project-based contract work. Scope and hours depend on project matching; the listed hourly range applies to matched work.
Why Apply
- Expert-level compensationEarn $180 - $275/hr for work that values your professional judgment.
- Flexible remote workContribute asynchronously around your existing professional commitments.
- Meaningful model impactHelp advanced AI systems reason more accurately in healthcare & life sciences.
- Focused projectsAccept only the opportunities that fit your experience and availability.
Responsibilities
- Evaluate advanced domain tasks and AI-generated responses for factual accuracy and professional judgment.
- Apply current standards, methods, and risk considerations from healthcare & life sciences.
- Document errors, edge cases, and the reasoning behind an ideal response.
- Collaborate asynchronously with Alpheva's research and evaluation teams.
Required Qualifications
- MD or DO with active or recently active US medical licensure
- Board certification and 7+ years of post-residency clinical experience
- Utilization review, physician-advisor, payer, or hospital case-management experience preferred
Company Description
Alpheva AI builds the expert data, evaluations, and real-world environments that help frontier AI systems become more capable and reliable. We partner with experienced professionals whose judgment can teach models how high-quality work is actually done.