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mercor

Adolescent Mental Health Specialist - Remote | Upto $150/hr

Remote — United States (see country and timezone requirements)

Check who can apply and the requirements below before continuing.

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)

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Resources & Support

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Originally posted on Himalayas

Who can apply

Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.

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