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OpenTrain AI, Inc.

Tagalog-Speaking Psychiatrist for AI Training

northern, KY

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Job description

The Work

You will apply clinical psychiatric expertise to AI training focused on mental health. The work includes creating complex case studies, reviewing sensitive content, and improving how AI systems understand psychiatric ideas across Tagalog and English contexts.

You will also support bilingual communication and provide feedback on methods used to evaluate mental health responses.

Develop psychiatric case studies based on real-world and culturally nuanced situations.

Conduct psychological assessments and create expert annotations grounded in Tagalog psychiatric practices.

Prepare accurate psychiatric documentation and written analysis in Tagalog and English.

Review sensitive case content using confidentiality, ethical judgment, and professional standards.

Help create bilingual frameworks for exchanging accurate psychiatric information.

Collaborate with AI project teams and give feedback on mental health evaluation methods.

What It Pays and Takes

This is a part-time contractor role for a licensed psychiatrist. The role is listed as entry level, but it requires substantial clinical training, professional credentials, and experience.

Pay: $100 to $200 per hour.

Time: 20 or more hours per week.

Work type: Part-time contract work.

Languages: Native Tagalog and advanced written and spoken English.

Location: Applicants may apply from the countries listed for this role.

Education: MD, MBBS, or equivalent medical degree.

License: Completed psychiatry residency and a valid medical license.

Experience: Psychiatric assessment, treatment planning, and clinical case documentation.

Skills: Cultural sensitivity, ethical reasoning, familiarity with Tagalog and Western psychiatric frameworks, and clear communication of clinical decisions.

Helpful background: Creating educational or research case studies and working on technology, research, or digital health projects.

About AI Training Work

AI training is the human work behind systems that learn from examples, including written responses, case studies, and expert evaluations. People with specialist knowledge are paid to assess complex material and help make AI outputs more accurate and useful.

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Who can apply

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