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Vals AI

Adolescent Mental Health Clinical Expert (Contract)

Posted 2 hours ago
$60 - $150 per hour
5-10 years experience
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AI Summary

Review and rate AI conversations for clinical safety, appropriateness, and quality, identifying risks and model failure modes. Develop realistic evaluation scenarios, criteria, and scoring rubrics, and provide expert feedback while documenting edge cases and emerging risks.

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.

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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