Bilingual Mental Health Expert – AI Training and Evaluation Project

A specialized AI development initiative focuses on improving the accuracy, cultural relevance, and ethical quality of AI-generated mental health content. The work applies advanced psychological and psychiatric expertise to model training, content evaluation, and the refinement of multilingual AI systems.This opportunity is suited to doctoral-level psychology professionals and qualified psychiatrists with strong clinical, research, or academic backgrounds. Candidates must demonstrate native proficiency in at least one specified language and advanced English communication skills, with the ability to assess complex psychological concepts across linguistic and cultural contexts.The work involves evaluating AI-generated clinical content, developing training datasets, reviewing psychological case studies, and providing evidence-based feedback to improve model outputs. Clinical accuracy, ethical judgment, linguistic precision, and cultural sensitivity are critical to success.Responsibilities:Evaluate AI-generated psychological content for clinical accuracy, relevance, consistency, and ethical compliance.Develop and review datasets containing psychological case studies, assessments, clinical scenarios, and therapeutic dialogues.Produce detailed written evaluations and verbal feedback to improve AI-generated mental health responses.Identify clinical inaccuracies, reasoning gaps, cultural biases, and potentially harmful content in model outputs.Recommend evidence-based corrections grounded in established psychological and psychiatric frameworks.Apply linguistic and cultural expertise to evaluate mental health content across diverse populations.Collaborate with multidisciplinary teams to integrate psychological principles into AI training and evaluation workflows.Document evaluation criteria, findings, and recommendations to support consistent quality standards.Contribute to knowledge resources that improve the reliability and cultural appropriateness of AI-generated mental health content.Requirements:Completed Ph.D. in Psychology or an MD with completed psychiatry residency.Native proficiency in at least one of the following languages: French, Malay, Russian, Mandarin, Japanese, Urdu, Swahili, Bulgarian, Tagalog, Polish, Marathi, Lithuanian, Georgian, Bengali, Vietnamese, or Indonesian.Advanced English proficiency, including the ability to communicate complex clinical concepts clearly in writing and verbally.Strong knowledge of psychological theory, clinical assessment, psychiatric concepts, or evidence-based mental health practices.Demonstrated analytical skills for evaluating clinical narratives, psychological assessments, and AI-generated content.Ability to identify inaccuracies, unsupported conclusions, ethical concerns, and potential biases in mental health outputs.Strong written communication skills, including the ability to provide specific, structured, and actionable feedback.Awareness of cultural differences that influence mental health interpretation, communication, and care.Commitment to ethical standards, clinical responsibility, and culturally sensitive evaluation practices.Ability to work independently in a remote, contract-based environment.Willingness to review structured datasets, follow evaluation guidelines, and document findings consistently.Prior experience in clinical practice, psychological research, or higher education in psychology or psychiatry.Preferred: Experience working on interdisciplinary, technology-driven, or AI-related projects.Preferred: Familiarity with AI-generated content evaluation, dataset annotation, or machine learning model training workflows.