The work:
You will help evaluate and improve AI systems by reviewing psychological content in Tagalog and English. The work combines professional psychological judgment, bilingual communication, cultural awareness, and clear documentation.
Analyze psychological case studies and documentation, then provide feedback based on professional experience.
Create culturally sensitive psychological scenarios and materials in Tagalog and English for data enrichment and AI training.
Review AI-generated content for accuracy, ethical concerns, and alignment with psychological best practices.
Interpret and refine psychological assessments in Tagalog and English while preserving their meaning and cultural context.
Record evaluation methods and findings clearly to support transparency and reproducibility.
Work with contributors from different fields to address varied user needs and develop well-rounded solutions.
What it pays and takes
This is a part-time contractor role listed as entry level, but it requires advanced psychology training and professional experience. An active license to treat patients is relevant to the work but is described as helpful rather than required.
Pay: $100 to $200 USD per hour.
Time: 20 or more hours per week.
Languages:
Native or near-native Tagalog and English, including complex psychological terms.
Location: Applicants may be based in any of the countries listed for this role.
Education: PhD in Psychology required.
Experience:
Demonstrated experience in both clinical and academic settings, plus experience developing or evaluating case studies and psychological assessments.
Skills:
Strong analysis, critical thinking, ethical judgment, and written and verbal communication.
Helpful background: Translating nuanced psychological concepts between Tagalog and English, cultural sensitivity in multicultural settings, remote collaboration tools, and systematic documentation.
About AI training work
AI training is the human work behind systems that generate and understand text, images, and other content. Specialists review examples, write materials, and provide careful feedback so AI systems can become more accurate, useful, and responsible.
