Senior Clinical Safety Lead

Mpathic; Bellevue (WA); Remote; USD 140,000 - 190,000; Full time

Job summary

mpathic is seeking a Senior Clinical QA Lead to oversee clinical quality across AI safety evaluations, data annotation, labeling, and red-teaming projects.

You’ll work with clinical experts, reviewers, researchers, and engineering teams to ensure human data is accurate, consistent, and ready for customer delivery, while maintaining high safety standards and rigorous documentation.

This full-time remote role offers a unique opportunity to shape QA practices in a fast-growing AI safety domain.

Qualifications

• 5+ years of clinical supervision, research, quality assurance, AI evaluation, or related fields.
• Clinical licensure or advanced training (LCSW, LMFT, PsyD, PhD, MD, or equivalent).
• Experience with clinical research writing, reports, manuscripts, or publications.

Responsibilities

• Review annotations, labels, roleplays for clinical accuracy, quality and safety.
• Lead QA, calibration and adjudication of complex/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.

Skills

Clinical QA

AI evaluation

Leadership

Training

Cross-functional collaboration

Documentation

Education

Clinical licensure or advanced training

Job description

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