Remote Cantonese Psychologist for AI Training & Review

OpenTrain AI, Inc.; Northern (KY); Hybrid; USD 138,000 - 276,000; Part time

Job summary

OpenTrain AI, Inc. is seeking a Cantonese-speaking psychologist to support AI training through psychological content review and development. You will apply clinical and academic expertise to check accuracy, ethics, cultural fit, and alignment with best practices in psychology.

The role involves reviewing material in Cantonese and English, maintaining nuanced psychological meaning across languages and cultures, and collaborating with interdisciplinary teams to meet diverse user needs.

Qualifications

• PhD in Psychology required.
• Experience in both clinical and academic settings preferred.
• Experience developing or evaluating case studies and psychological assessments.

Responsibilities

• Analyze psychological case studies and documentation, provide feedback based on professional experience.
• Develop culturally sensitive psychological scenarios in Cantonese and English for data enrichment and model training.
• Evaluate AI-generated content for accuracy, ethics, and alignment with psychological best practices.
• Interpret and refine psychological assessments across languages and cultural contexts.
• Document evaluation processes clearly to support transparency and reproducibility.
• Collaborate with interdisciplinary contributors to address varied user needs.

Skills

Strong analytical ability

Ethical judgment

Cross-cultural sensitivity

Written and verbal communication

Adaptability in multicultural settings

Education

PhD in Psychology

Tools

Remote collaboration tools

Job description

OpenTrain AI, Inc. is seeking a Cantonese-speaking psychologist to support AI training through psychological content review and development. You will apply clinical and academic expertise to check accuracy, ethics, cultural fit, and alignment with best practices in psychology.

The role involves reviewing material in Cantonese and English, maintaining nuanced psychological meaning across languages and cultures, and collaborating with interdisciplinary teams to meet diverse user needs.