Cantonese-Speaking Psychologist AI Training

You will review psychological content used to improve AI systems. The work combines professional psychology, bilingual communication, ethical review, and clear documentation.

You will apply clinical and academic judgment to case studies, assessments, documentation, and model-generated material. You will also explain decisions clearly so findings can be understood and reproduced.

• Analyze psychological case studies and documentation using professional expertise.
• Create culturally sensitive psychological scenarios and materials in Cantonese and English.
• Evaluate AI-generated content for accuracy, ethics, cultural fit, and psychological best practices.
• Interpret and refine psychological assessments across languages and cultural contexts.
• Record evaluation processes and findings clearly.
• Work with contributors from different disciplines to address varied user needs.

This is a remote, part-time contractor role. The posting lists the experience level as entry level, but the role requires advanced academic and professional qualifications.

• Pay: $100-$200 per hour.
• Time: 20 or more hours per week.
• Location:
  
  Remote and open to candidates in the countries listed for this role.
• Languages:
  
  Professional fluency in Cantonese and English, including complex psychological terminology.
• Education:
  
  PhD in Psychology.
• Experience:
  
  Demonstrated experience in both clinical and academic settings, including developing or evaluating case studies and psychological assessments.
• Skills:
  
  Strong analysis and critical thinking, ethical judgment, written and verbal communication, cultural sensitivity, adaptability in multicultural settings, and comfort with digital tools for remote collaboration and documentation.
• Helpful background:
  Patient treatment, an active clinical license, relevant psychology research publications, or experience with AI and technology.

AI training is the human work behind systems that can understand and generate content. Specialists review examples, assess model responses, and create reliable training material so AI systems produce more accurate, ethical, and useful results.