Youth Mental Health AI Trainer (Child Protection)
About the role
Child protection professionals, psychologists, social workers, counselors and guidance counselors with adolescent safeguarding experience can help train AI to spot sexual exploitation and abuse risks in teen cases. You'll review cases and write clear safeguarding guidance. No AI experience is needed; your domain knowledge is what counts. Remote contract work. Click Apply to open the micro1 page, sign up there using this link, and micro1 handles screening and hiring. AI Alerts may earn a referral fee if you're hired through this link. It costs you nothing and doesn't change how we pick or rank jobs.
What you'll do
- Review and improve how AI responds to teen cases involving safeguarding and exploitation risk
- Review complex adolescent cases to assess sexual safety and exploitation risks
- Write clear safeguarding guidance that non specialists can use
- Apply recognised risk assessment and safeguarding frameworks to judge urgency
- Spot signs of grooming, coercion and exploitation
- Recommend protective actions and escalation steps, including when mandatory reporting applies
Requirements
- Preferred: 3 to 5+ years post qualification experience in child safeguarding, adolescent protection, or relevant clinical roles
- Preferred: Specialty background in child protection, forensic child/adolescent psychiatry or psychology, or paediatric medicine with a safeguarding remit
- Preferred: Active clinical license or registration in good standing
- Preferred: Current or recent (within the last two years) adolescent caseload or safeguarding practice
- Preferred: Exceptional written communication in research grade English (native, or IELTS 7.5+/writing 7.0+, TOEFL 100+, Cambridge C1 to C2, or equivalent)
- Knowledge of trauma informed practice and mandatory reporting
- Selection: micro1 screens applicants and handles hiring
About micro1
micro1 is a data lab that helps AI labs and large companies train AI models and agents. It finds and checks skilled people from many fields, like law, medicine, finance and coding, to produce the training data that makes AI work better.
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