Mental Health Expert, Part-Time AI Content Evaluation - Remote (Philippines)

OpenTrain AI

Philippines

Remote

PHP 8,681,000 - 17,361,000

Part time

14 hours ago
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Benefits offered by this job

Fully remote
Flexible schedule
Independent contractor

Job summary

OpenTrain AI connects experienced professionals with paid, part-time AI training work: shaping and improving the AI systems that companies are building right now.

OpenTrain AI offers fully remote, flexible scheduling in the Philippines. You will create and review mental health training content, assess AI-driven clinical scenarios, and provide actionable feedback to improve model safety and usefulness.

Qualifications

  • Ph.D. in Psychology or an MD with completed psychiatry residency.
  • Experience in clinical practice, psychology or psychiatry research, or higher education.
  • Professional fluency in at least one listed language plus advanced English communication skills.
  • No AI experience required; expertise you bring will be augmented by our tools.

Responsibilities

  • Create and review psychological case studies and assessments for AI training datasets.
  • Evaluate AI-generated clinical scenarios and therapeutic dialogues for accuracy, relevance, ethics, and clinical appropriateness.
  • Identify bias, inaccuracies, and cultural or linguistic concerns in AI-generated mental health content.
  • Provide clear feedback, suggest evidence-based improvements, and contribute to documentation for model development.

Skills

Clinical practice
Research
Ethics assessment
Evidence-based evaluation
English communication
Cultural and linguistic awareness

Education

Ph.D. in Psychology or MD with psychiatry residency

Job description

Work on the cutting edge of mental health AI, on your own schedule, and get paid for the expertise you already have.

The AI systems everyone is talking about are trained and tested by real mental health experts. The teams building them need professionals who can create realistic psychological scenarios, judge how well AI handles them, write clear evidence-based responses, and explain where those responses fall short. Your judgment helps shape the next generation of AI models, including how they handle clinical content, ethical questions, and diverse users. This is that work, done remotely around your current practice, research, or teaching.

What you'll do
  • Create and review psychological case studies and assessments for AI training datasets
  • Evaluate AI-generated clinical scenarios and therapeutic dialogues for accuracy, relevance, ethics, and clinical appropriateness
  • Identify bias, inaccuracies, and cultural or linguistic concerns in AI-generated mental health content
  • Provide clear feedback, suggest evidence-based improvements, and contribute to documentation for model development
Why this is worth your time
  • Get paid $100–$200 an hour to build real AI skills, on top of your current job
  • Work directly with frontier AI tools and see how they are built, tested and improved, experience most mental health professionals will not have for years
  • Build a career edge for what comes next: AI is reshaping mental health practice and research, and the people who understand it from the inside will lead that change
  • Fully remote, fully flexible, no minimum shift, no commute
Who this is for
  • Ph.D. in Psychology or an MD with completed psychiatry residency
  • Experience in clinical practice, psychology or psychiatry research, or higher education
  • Professional fluency 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
  • No AI experience needed. You bring the expertise; we bring the training on the tools.
Pay and details
  • $100–$200 per hour, paid hourly as an independent contractor
  • Fully flexible schedule; fully remote, Philippines
About OpenTrain AI

OpenTrain AI connects experienced professionals with paid, part‑time AI training work: shaping and improving the AI systems that companies are building right now.

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