Join Vals AI as an Adolescent Mental Health Clinical Expert to evaluate AI systems in mental health contexts.
Posted by employer 13 hours ago
First seen on Joblaze 3 hours ago
Last verified on the company career page 3 hours ago
What you'll build
- Review and rate AI conversations for clinical safety
- Identify clinically meaningful risks and model failure modes
- Help create realistic scenarios and evaluation criteria
- Provide expert feedback on AI responses in sensitive situations
- Document important edge cases and emerging risks
Must have
- Clinical training and professional credentials
- Experience working directly with adolescent patients
- Strong grounding in clinical assessment and risk evaluation
- Strong written communication and clinical judgment
- Comfort reviewing sensitive mental health content
Nice to have
- Experience with crisis intervention and safety planning
- Experience developing clinical rating systems
- Familiarity with AI and digital mental health
AI in the day-to-day
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Not disclosed in this posting: compensation, seniority, years of experience, work arrangement, visa sponsorship.
Joblaze summary
The Adolescent Mental Health Clinical Expert at Vals AI is responsible for reviewing AI interactions to assess their clinical safety and appropriateness, focusing on identifying risks and defining model behavior. Candidates should possess clinical credentials and experience working with adolescents, along with strong skills in clinical assessment and written communication. This role is suited for professionals looking to apply their mental health expertise in a tech-driven environment, contributing to the evaluation of AI systems in sensitive contexts.
Joblaze insights
- Listed today — first seen on Joblaze October 22, 2026. Last confirmed on Vals AI's careers page October 22, 2026.
Quick facts
- Is this full-time or contract?
- Contract for this Adolescent Mental Health Clinical Expert (Contract) role at Vals AI.
From the original posting
About the Role
We’re looking for an Adolescent Mental Health Clinical Expert to help evaluate how AI systems respond in mental health and other clinically sensitive situations.
You’ll bring clinical judgment to reviewing AI conversations, identifying safety risks, and helping define appropriate model behavior. This is a flexible, part-time role for clinicians interested in applying their expertise to AI safety and evaluation.
What You'll Do
Review and rate AI conversations for clinical safety, appropriateness, and quality
Identify clinically meaningful risks and model failure modes
Help create realistic scenarios, evaluation criteria, and scoring rubrics
Provide expert feedback on how AI should respond in sensitive situations
Participate in calibration and review sessions with researchers and engineers
Document important edge cases and emerging risks
Requirements
Clinical training and professional credentials are required, such as LCSW/LICSW, LMFT, LPC/LPCC/LCPC, clinical psychologist, psychiatrist, MD/DO, or comparable clinical mental health credentials
Experience working directly with adolescent patients or clients in a mental health setting
Strong grounding in clinical assessment, psychopathology, risk evaluation, or crisis response
Strong written communication and clinical judgment
Comfort reviewing sensitive mental health content and maintaining strict confidentiality
No PhD or prior AI experience is required.
Nice to Have
Experience with crisis intervention, suicide or self-harm assessment, or safety planning
Experience developing clinical rating systems, assessment criteria, or coding frameworks
Familiarity with AI, digital mental health, trust & safety, or conversational systems
About us
Vals AI builds rigorous evaluations and benchmarks for frontier AI systems. Our work started from NLP evaluation research at Stanford, and today we work across technical and domain-specific areas, including healthcare and mental health. We raised a $5M seed, and our team has backgrounds at Stanford, NVIDIA, Meta, Microsoft, Palantir, HRT, Jane Street, and Snorkel.
Vals in the Media:
Standard company text repeated across Vals AI's postings is omitted here.