Role Description
We are sharing a specialised part-time consulting opportunity for experienced mental health professionals with deep expertise in child and youth abuse, trauma-informed care, clinical assessment, and ethical decision-making to contribute to an advanced AI training project focused on supporting vulnerable young populations. Selected professionals will apply specialist clinical expertise to case-based scenarios, model-generated mental health guidance, and trauma-informed content related to young abuse survivors. The work focuses on ensuring that AI-generated outputs reflect current clinical standards, ethical principles, appropriate sensitivity, and nuanced understanding of the needs of vulnerable youth. No prior experience in AI is required.
Key Responsibilities
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Trauma-Informed Case Analysis
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Analyse and contribute to case-based scenarios reflecting the complexities of child and youth abuse victimisation.
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Apply trauma-informed clinical frameworks when reviewing sensitive mental health scenarios.
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Assess the psychological, behavioural, and contextual factors relevant to young abuse survivors.
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Identify important clinical nuances, risks, and safeguarding considerations within case materials.
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Ensure scenarios appropriately reflect real-world complexity and vulnerability.
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AI-Generated Mental Health Evaluation
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Review and assess model-generated mental health guidance related to youth abuse cases.
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Identify clinical inaccuracies, ethical concerns, oversimplifications, or inappropriate recommendations.
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Evaluate whether generated responses reflect appropriate trauma-informed principles.
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Provide expert feedback on content accuracy, safety, sensitivity, and relevance.
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Help distinguish clinically responsible guidance from content that may be incomplete or unsuitable.
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Trauma-Informed Content Development
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Develop and curate content outlining best practices for supporting young abuse survivors.
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Contribute clinical guidance reflecting current trauma-informed approaches and standards of care.
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Help structure high-quality examples and reference materials for AI training workflows.
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Document recommendations designed to improve system sensitivity and clinical usefulness.
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Support development of content that reflects appropriate ethical and safeguarding considerations.
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Clinical Quality & Cross-Disciplinary Collaboration
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Collaborate with cross-disciplinary teams to ensure project deliverables reflect current mental health standards.
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Participate in iterative review cycles to refine training data and improve content quality.
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Provide detailed recommendations grounded in specialist clinical experience.
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Help identify recurring gaps or weaknesses across AI-generated responses.
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Maintain rigorous standards around privacy, confidentiality, ethics, and professional judgement.
Qualifications
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Completed M.D., Ph.D. in Psychology, or Ph.D. in Social Work.
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Extensive clinical experience working with children or young people who are survivors of abuse.
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Primary or substantial professional focus on youth abuse, trauma, or closely related clinical work.
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Demonstrated expertise in trauma-informed care and interventions for young survivors.
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Strong clinical assessment and case-analysis skills.
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Active engagement in clinical work involving vulnerable youth or abuse-related cases.
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Strong understanding of ethical decision-making, safeguarding, privacy, and confidentiality.
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Ability to identify subtle clinical inaccuracies, risks, and inappropriate guidance.
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Excellent written communication skills and ability to provide precise, constructive feedback.
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Comfortable collaborating across clinical, research, technical, or interdisciplinary teams.
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No prior experience in AI research or model training is required.
Engagement Details
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Part-time independent contractor engagement.
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Fully remote.
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Compensation: $100β$200/hour.
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Work will involve trauma-informed case analysis, AI-generated mental health content review, clinical feedback, content development, and iterative quality evaluation.
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Deep professional experience working with young abuse survivors is important for this engagement.
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No prior experience in AI is required.
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Project scope, workload, timing, and duration may evolve depending on project requirements.
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Work must be completed in accordance with appropriate ethical, privacy, confidentiality, and safeguarding standards.