Clinical Medicine Domain Expert

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models.

Pay

Firm hourly pay: $70-$110 per hour

Location

Bay Area, CA

Eligibility

Location-specific or hybrid

Qualification difficulty

Selective

What this role involves

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models. 1. Overview We are hiring a senior clinical medicine domain expert to work directly with a leading AI lab's research and program management teams, improving how frontier AI models reason about real clinical work. Your clinical expertise is the substance of this role.

You will review the quality of medical knowledge work tasks, write the instruction specs and golden solutions that define what "correct" looks like, and build the benchmarks that show whether the model is genuinely improving. We are looking for a practicing clinician rather than a generalist. This is a full-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce.

You will be provisioned with client-issued accounts and equipment, and will work inside the client's own tools alongside their research teams. Location: This is a hybrid role based in the Bay Area, California. You must live in the Bay Area and work on-site with the client's team multiple days each week, when required. This is not a remote role. If you do not currently live in the Bay Area, you must be willing to relocate there at your own cost before the engagement starts. Relocation assistance is not provided. 2.

Key Responsibilities

Data QA and reviews: Vet the quality of clinical knowledge work tasks and model outputs, spotting missing behaviors, thin reasoning, unsafe or off-guideline recommendations, and answers that read well but would not survive clinical scrutiny. Instruction specs and golden datasets: Write high-quality instruction specs, produce golden solutions to clinical problems, and define new clinical tasks that reflect how medicine is actually practiced.

Benchmarks and domain depth: Design challenging clinical tasks and evaluation sets, and help build medicine-specific skills and tools together with the research team. Calibration: Work with client researchers and specialists in adjacent fields to keep standards consistent, translating tacit clinical judgment into explicit, teachable criteria. 3. Core Qualifications Education: MD or DO from an accredited medical school, with a completed residency in a recognized specialty. Experience: 4+ years of post-residency clinical practice.

Residency and fellowship training alone do not count toward the four years. Licensure: Active, unrestricted license to practice medicine in at least one U.S. state, and board certification in your specialty. Domain depth: Genuine specialization in a defined clinical specialty, for example internal medicine, oncology, radiology, emergency medicine, surgery, psychiatry, or a medical subspecialty. Experience in utilization management, clinical informatics, or medical affairs is a plus.