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mpathic

Senior Clinical Safety Lead

Posted 2 hours ago
$135K - $165K per year
5-10 years experience
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AI Summary

Oversee clinical quality across AI safety evaluations, data annotation, and red teaming projects to ensure accuracy and clinical grounding. Develop evaluation rubrics, train clinical experts, and collaborate with cross-functional teams to identify model safety risks.

Senior Clinical QA Lead | Remote, Full-Time

About mpathic

mpathic is a Series A startup on a mission to keep humans safe in the AI era. We combine psychology, clinical expertise, and AI to build safer, more human-centered technology.

About the Role

We're looking for a Senior Clinical QA Lead to oversee clinical quality across AI safety evaluations, data annotation, labeling, and red teaming projects.

You'll work closely with clinical experts, reviewers, researchers, and technical teams to ensure our human data is accurate, consistent, clinically grounded, and ready for customer delivery.

What You'll Do

  • Review annotations, labels, roleplays, and AI model responses for clinical accuracy, quality, and safety.
  • Lead quality assurance, calibration, and adjudication of complex or sensitive cases.
  • Train and coach clinical experts, annotators, and reviewers.
  • Develop and improve evaluation rubrics, labeling guidelines, and QA workflows.
  • Identify model safety risks, recurring errors, and opportunities to improve evaluation quality.
  • Collaborate with research, product, engineering, and Human Data Operations teams.
  • Support clinical research reporting and documentation.

What We're Looking For

  • 5+ years of relevant experience in clinical supervision, research, quality assurance, AI evaluation, or related fields.
  • Clinical licensure or advanced training (LCSW, LMFT, PsyD, PhD, MD, or equivalent experience).
  • Strong understanding of psychological safety, mental health, trauma, and sensitive conversations.
  • Experience with clinical research writing, including reports, manuscripts, or publications.
  • Ability to train reviewers, resolve ambiguous cases, and maintain consistent quality standards.
  • Strong communication, documentation, and cross-functional collaboration skills.
  • Interest in AI safety

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