Hippocratic AI is the leading generative AI company in healthcare. We have the only system that can have safe, autonomous, clinical conversations with patients. We have trained our own LLMs as part of our Polaris constellation, resulting in a system with over 99.9% accuracy.
Reinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare‑only, safety‑focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation.
Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA.
Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others.
Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world‑changing technologies — ensuring our platform is powerful, trusted, and truly transformative.
We are seeking a Regulatory Evaluator, HCP Sales (AI) to review and assess AI-enabled, HCP- and patient-facing Voice AI interactions from a regulatory compliance perspective. In this contractor role, you will evaluate whether AI agents operate within applicable regulatory frameworks, adhere to approved labeling and guidance, and appropriately manage regulatory risk in real-world interactions.
This role is ideal for someone with hands-on Pharmaceutical Regulatory Affairs experience, particularly within MLR/PRC review environments, who is comfortable making nuanced, risk-based regulatory judgments on novel AI-driven engagement models.
You’ll work on a flexible schedule, typically averaging 10–15 hours per week, reviewing interactions and documenting structured regulatory feedback across defined evaluation criteria. While this role begins as a part-time contract position, there is a clear opportunity for expansion into a full-time role as the program scales, based on performance and organizational needs.
We aim to compensate commensurate to your current role, and at fair market rate.
Review and evaluate HCP- and patient-facing Voice AI interactions for regulatory compliance.
Assess alignment with approved labeling, regulatory guidance, and promotional boundaries.
Identify regulatory risk, ambiguity, or precedent concerns in AI-driven interactions.
Apply real-world regulatory judgment to distinguish material risk from low-risk deviations.
Score interactions using defined regulatory rubrics and provide clear, actionable feedback.
Flag potential regulatory compliance risks and areas requiring escalation or mitigation.
Must-Have:
3–10+ years of experience in Pharmaceutical Regulatory Affairs.
Direct involvement in MLR/PRC review processes as a Regulatory contributor or decision-maker.
Strong understanding of promotional regulations, labeling, and regulatory risk assessment.
Ability to make clear, defensible regulatory judgment calls.
Strong written communication skills.
Fluency in English.
Reliable access to a computer and high-speed internet.
Nice-to-Have:
Experience reviewing digital, omnichannel, or AI-enabled promotional content.
Familiarity with Voice AI, chat-based agents, or automated engagement tools.
Experience in fast-moving, ambiguous regulatory environments.
Exposure to startup, digital health, or innovation-focused teams.
Join us and help build the future of safe, life-changing AI in healthcare. There’s never been a more exciting moment to make an impact.
Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process.
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