Adolescent Mental Health Specialist - AI Trainer

Job Description

Job Description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .

Position: Child & Adolescent Mental Health Clinical Advisor (AI Safety Benchmark Project)
Type: Contract
Compensation: $80–$150/hour
Location: Remote
Commitment: 10–15 hours/week

Role Responsibilities

• Author fictionalized adolescent mental health case scenarios based on real-world clinical expertise.
• Review scenarios for clinical realism , developmental appropriateness, and ethical considerations.
• Help develop and refine clinician-informed evaluation rubrics for AI chatbot responses.
• Review a subset of AI-generated conversations and provide expert judgment to calibrate automated evaluation systems.
• Advise on best practices for assessing AI behavior across key mental health domains, including suicide & self-harm, medical & therapeutic impersonation, and parasocial attachment & anthropomorphism.

Qualifications

Must-Have

• MD , DO , PhD , PsyD , or equivalent qualification in Psychiatry, Psychology, or a related mental health field.
• Clinical or research experience focused on children and adolescents .
• Expertise in suicide prevention, self-harm assessment, child & adolescent psychiatry, clinical child psychology, digital mental health, or evidence-based therapies such as DBT or CBT .
• Strong written communication skills and ability to provide structured clinical feedback.
• Comfortable reviewing fictional clinical scenarios and evaluating AI-generated conversations.

Preferred

• Experience conducting suicide risk assessments or crisis intervention.
• Academic or published research in adolescent mental health, suicide prevention, or digital therapeutics.
• Experience developing clinical guidelines, assessment frameworks, or educational materials.
• Prior work involving AI, digital health technologies, or mental health product evaluation.
• Experience supervising trainees or participating in multidisciplinary clinical teams.

Application Process (Takes 20–30 mins to complete)

• Upload resume
• AI interview based on your resume
• Submit form

Resources & Support

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