Clinical Medicine Domain Expert | $70-$110/hr Remote
Overview
A leading AI lab's GenAI team needs a practicing clinician to shape how frontier models reason about real clinical work. You will audit medical knowledge tasks for clinical soundness, write the instruction specs and golden solutions that set the standard for correctness, and design benchmarks that track model improvement. This full-time W-2 role runs through Cincinnatus LLC, with placement inside the client's own tools and workflows. Expect a hybrid schedule in the Bay Area, with on-site days each week, so local residency or a self-funded relocation is required.
What You'll Do5
- 1Audit clinical knowledge tasks and model outputs for missing behaviors, thin reasoning, unsafe recommendations, and answers that would not survive clinical scrutiny.
- 2Write instruction specifications and golden solutions that define correct responses to complex clinical problems.
- 3Design new clinical tasks and evaluation sets that reflect how medicine is actually practiced, including building medicine-specific skills and tools with the research team.
- 4Collaborate with client researchers and specialists in adjacent fields to keep evaluation standards consistent and translate tacit clinical judgment into explicit criteria.
- 5Deliver precise written feedback that helps non-clinician team members understand why a model answer is clinically weak or dangerous.
Requirements8
- 1MD or DO from an accredited medical school and a completed residency in a recognized specialty.
- 2At least four years of post-residency clinical practice in a defined specialty; residency and fellowship training do not count.
- 3Active, unrestricted medical license in at least one U.S. state and board certification in your specialty.
- 4Genuine specialization in a clinical field such as internal medicine, oncology, radiology, emergency medicine, surgery, psychiatry, or a medical subspecialty.
- 5Progression to a senior level like Attending Physician, Medical Director, Division Chief, Associate or full Professor, or Chief Medical Officer, with real ownership of clinical decisions.
- 6Hands-on professional experience using large language models and the ability to distinguish well-reasoned answers from plausible-sounding wrong ones.
- 7Available to commit 40 hours per week for an initial six-month engagement.
- 8Based in the Bay Area or willing to relocate there at your own cost; able to work on-site multiple days per week.
Who Should Apply
The ideal candidate is a board-certified physician with at least four years of independent post-residency practice and a genuine specialty that shows up in daily decisions. This role is not for residents, fellows, or generalists who lack a strong clinical identity, and it will not work for physicians who cannot come on-site in the Bay Area multiple days per week. Candidates who cannot commit to a 40-hour workweek for six months or who have only used LLMs recreationally will not move forward. Rejection often follows when applicants list '4+ years experience' but cannot prove it with board certification and a current unrestricted license, or when they describe AI experience without concrete examples of evaluating model outputs.
Salary Insight
The rate is $70-$110 per hour, which lands at the senior end for clinical advisory work because it demands board certification, four plus years of post-residency practice, and real AI fluency. The final offer depends on your specialty and the depth of your LLM evaluation experience.
Location
Required Skills
Application Tip
Submit two or three written critiques of AI-generated clinical answers, showing exactly why each one would fail in a real patient encounter. Name your board certification and your years of independent practice at the top of your resume, and list any experience building evaluation sets or instruction guidelines.
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