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Clinical / Health Domain Expert

$90–150/hr · AI expert network · remote, 20 hrs/week

Open to people living in the United States.

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10 Nov 2026Open15–Script, platform’s board

The script reads the platform’s own job board every night. A job not confirmed for 10 days comes off the list.

What the work is

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 Large Language Models.

Overview

Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented licensed Clinicians and Health subject-matter experts (SMEs) with clinical expertise and active licensure in medicine, nursing, pharmacy or allied health to bring deep clinical domain expertise and elevate the quality of our AI training data.

Key Responsibilities

  • Guide research and engineering teams to close knowledge gaps and improve AI model performance in clinical medicine and health, diagnosis and treatment, and patient communication and clinical guidelines topics.
  • Design challenging, domain-relevant tasks, and write accurate and well-structured solutions to clinical medicine and health problems.
  • Evaluate clinical medicine and health tasks and solutions and provide clear, written technical feedback.
  • Write realistic clinical cases and questions and produce accurate, guideline-based reference answers.
  • Develop rubrics to assess clinical accuracy, safety and appropriateness of AI-generated health information.
  • Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Who gets hired

  • 3+ years of dedicated post-training clinical practice at a recognized hospital, health system or clinical organization.
  • Active, unrestricted US license as an MD, DO, NP, PA, RN or PharmD.
  • Board certification or specialty credentials are a strong plus.
  • Demonstrable career progression.
  • Ability to engage reliably for at least 20 hours/week during weekdays.
  • Strong written communication skills and the ability to explain complex technical decisions clearly.

The platform posted this on 9 Nov 2026.

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