Bilingual Gujarati Psychiatrist AI Training

You will support AI training by applying psychiatric expertise to case studies, assessments, and clinical documentation. You will review and create materials that help AI systems learn from structured clinical judgment and clear written feedback.

• Develop and evaluate complex psychiatric case studies.
• Conduct psychological assessments and create expert annotations.
• Write clear analyses and documentation in Gujarati and English.
• Reflect Gujarati psychiatric practices and perspectives in your work.
• Contribute to bilingual communication frameworks.
• Give expert feedback on AI system evaluations in mental health contexts.
• Use ethical judgment when reviewing sensitive case content.
• Protect patient confidentiality and follow professional standards.

Prior AI training experience is not required. The role does require substantial psychiatric expertise, relevant medical credentials, Gujarati clinical experience, and the ability to work carefully and independently on remote contractor tasks.

• Pay: $100-$200 per hour.
• Schedule:
  
  Flexible, with a commitment of 20+ hours per week.
• Work setting:
  Remote contractor work; eligible countries are specified in the application.
• Languages:
  
  Native Gujarati and advanced English.
• Credentials: MD, MBBS, or equivalent medical degree; completed psychiatry residency; and a valid medical license.
• Experience:
  
  Psychiatric assessment, treatment planning, and case documentation in Gujarati clinical settings.
• Knowledge:
  Gujarati and Western psychiatric frameworks, cultural sensitivity, ethical reasoning, and case-study development.
• Helpful background:
  Collaboration on interdisciplinary technology, research, or digital health projects.
• Working style:
  Independent work, careful attention to detail, strong written communication, and following detailed project instructions.

AI training is the human work behind systems that can understand and produce useful responses. Specialists review examples, write evaluations, and provide expert feedback so models perform more accurately and responsibly in areas such as mental health.