Adolescent Mental Health Clinical Expert (Contract)
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AI Summary
About the Role
We’re looking for a Clinical AI Safety Contractor 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 what appropriate model behavior looks like. 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 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 in adolescent mental health, psychosis, eating disorders, trauma, or other clinically complex areas
Experience developing clinical rating systems, assessment criteria, or coding frameworks
Familiarity with AI, digital mental health, trust & safety, or conversational systems
What We're Looking For
Learning velocity: The role encompasses a wide variety of tasks. Rather than expecting you to be an expert on Day 1, we are looking for someone who can learn new skills and technologies quickly.
Ownership: Working in a small, talent-dense team, we expect everyone to show initiative to build where it's needed, not where it's asked. We strive for autonomy over consensus.
Intensity: The LLM landscape is constantly changing. Foundation model labs are continuously pushing the frontier. The unicorn companies that will emerge from this technology shift are being built now. Those that win will have an incredibly high speed of execution.
Solution-oriented mindset: We're looking for people who see opportunities to craft solutions at each juncture, not those who pass hard problems to others or admit defeat.
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