Senior Clinical QA Lead, AI Safety & Evaluation

Mpathic; Bellevue (WA); À distance; USD 140 000 - 190 000; Plein temps

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Clinical QA

AI evaluation

Leadership

Training

Cross-functional collaboration

Documentation

Formation

Clinical licensure or advanced training

Description du poste

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.