Remote Senior AI Safety QA Lead

Mpathic; United States; À distance; USD 120 000 - 160 000; 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 collaborate with clinical experts, reviewers, researchers, and engineering teams to ensure our human data is accurate, clinically grounded, and ready for customer delivery.

The ideal candidate has 5+ years in clinical supervision or AI evaluation, licensure or advanced training, and strong cross-functional communication.

Qualifications

• 5+ years of clinical supervision, research, QA, AI evaluation, or related fields.
• Clinical licensure or advanced training (LCSW, LMFT, PsyD, PhD, MD, or equivalent).
• 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.

Responsabilités

• Review annotations, labels, roleplays, and AI model responses for clinical accuracy, quality, and safety.
• Lead QA, 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.

Connaissances

Clinical QA leadership

Quality assurance

AI evaluation

Training & coaching

Cross-functional collaboration

Formation

Clinical licensure or advanced training (LCSW, LMFT, PsyD, PhD, MD, or equivalent)

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 collaborate with clinical experts, reviewers, researchers, and engineering teams to ensure our human data is accurate, clinically grounded, and ready for customer delivery.

The ideal candidate has 5+ years in clinical supervision or AI evaluation, licensure or advanced training, and strong cross-functional communication.