About this role
## Job Posting Source Text
Job Summary:
We are engaging bilingual mental health experts to contribute to a project focused on enhancing AI systems with nuanced expertise. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required, your domain knowledge is what matters.
Scope of Work:
- Analyze and evaluate AI-generated psychological content for accuracy, relevance, and ethical standards.
- Develop and review data sets involving psychological case studies, assessments, and conversations for AI system training.
- Craft detailed written feedback and verbal insights to refine AI responses in contexts such as clinical scenarios, research vignettes, and therapeutic dialogues.
- Identify potential biases or inaccuracies within AI-generated outputs and propose evidence-based improvements.
- Collaborate with multidisciplinary teams to integrate psychological concepts and frameworks into AI model training processes.
- Ensure adherence to cultural, linguistic, and clinical best practices for diverse user scenarios.
- Contribute to documentation and knowledge-sharing resources that guide ongoing AI development.
Preferred Qualifications:
- Completed Ph.D in Psychology or MD with completed psychiatry residency.
- Native proficiency in at least one of: French, Malay, Russian, Mandarin, Japanese, Urdu, Swahili, Bulgarian, Tagalog, Polish, Marathi, Lithuanian, Georgian, Bengali, Vietnamese, or Indonesian, plus advanced English communication skills.
- Demonstrated ability to communicate complex psychological concepts clearly in both written and verbal formats.
- Experience in clinical practice, research, or higher education in psychology or psychiatry.
- Strong analytical and evaluative skills to assess psychological data and narrative content.
- Awareness of cultural sensitivity and ethical considerations in global mental health contexts.
- Previous experience collaborating on interdisciplinary or technology-driven projects is a plus.