Adolescent Mental Health Clinical Expert (Contract)
Remote · USContract$60–150/hrPosted todayStill listed today
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Job overview
Vals AI seeks an Adolescent Mental Health Clinical Expert to evaluate AI responses in clinically sensitive situations. The expert will review conversations, identify safety risks, and help define appropriate model behavior. The role is flexible and part-time, and is intended for clinicians interested in applying their expertise to AI safety and evaluation. No PhD or prior AI experience is required.
Skills & qualifications
Skills
Qualifications
Full job description
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
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Review and rate AI conversations for clinical safety, appropriateness, and quality
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Identify clinically meaningful risks and model failure modes
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Help create realistic scenarios, evaluation criteria, and scoring rubrics
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Provide expert feedback on how AI should respond in sensitive situations
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Participate in calibration and review sessions with researchers and engineers
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Document important edge cases and emerging risks
Requirements
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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
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Experience working directly with adolescent patients or clients in a mental health setting
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Strong grounding in clinical assessment, psychopathology, risk evaluation, or crisis response
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Strong written communication and clinical judgment
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Comfort reviewing sensitive mental health content and maintaining strict confidentiality
No PhD or prior AI experience is required.
Nice to Have
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Experience with crisis intervention, suicide or self-harm assessment, or safety planning
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Experience developing clinical rating systems, assessment criteria, or coding frameworks
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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. We recently announced our $40M Series A at a $400M valuation, led by Andreessen Horowitz, with participation from existing investors 8VC, Pear VC, and Bloomberg and new investors Hudson River Trading and NextLadder Ventures.
Vals in the Media:
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AI tools mostly fumble basic financial tasks, study finds
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The Winners (and Losers) of This New Vibe-Coding Benchmark Will Surprise You
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OpenAI’s Less-Flashy Rival Might Have a Better Business Model
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Meta Announces New AI Model in Major Test of Company’s Ambitions
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DeepSeek’s Sequel Set to Extend China’s Reach in Open-Source A.I.
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