Board-Certified Psychiatrist
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Mercor is seeking board-certified psychiatrists for a project with one of the world's top AI labs.
Êtes-vous le bon/la bonne candidat(e) pour cette opportunité ? Découvrez-le en lisant l'aperçu du poste ci-dessous.
We welcome applications from psychiatrists across all practice settings, with particular interest in subspecialty expertise. This role evaluates how large language models reason through advanced psychiatric cases. You will design expert-level diagnostic and reasoning challenges that current models fail, then provide authoritative, gold-standard answers.
Required- Completed psychiatry residency: ACGME, AOA, or national equivalent. In-training does not count.
- Medical degree: MD or DO. DO and international degrees qualify.
- Active board certification in psychiatry: ABPN, FRCPC, MRCPsych, FRANZCP, or recognized national equivalent. Board-eligible and lapsed do not count.
- Active, unrestricted medical license. No suspension, revocation, or open disciplinary action.
- 3+ years of independent practice after residency, currently or within the last 2 years. Training years excluded.
- Practice in an accredited or government-licensed setting: hospital, academic center, community clinic, private practice, or telehealth. Recognized means accredited, not self-described.
- Based in the US, UK, Europe, or Australia. US preferred.
- 10+ direct patient-contact hours per week, current. Clinical care only.
- Psychiatry-Specific Subspecialty depth in Addiction, Child/Adolescent, Forensic, Geriatric, or Consultation-Liaison. Demonstrated through fellowship, subspecialty board, or 2+ years of practice.
- Must be a psychiatry focus
- OSCE development or examiner experience. Sitting one as a candidate does not count. xuezdbg
- Faculty appointment in a department of psychiatry, current or within 2 years.
- Develop gold-standard answers with clear clinical reasoning
- Emphasize edge cases, nuanced differentials, and risk assessment
- Collaborate directly with research teams at a leading AI lab
- Provide feedback on common failure modes in model reasoning
- Complete a short interview (approximately 20–30 minutes)
- The interview explores your clinical background and subspecialty expertise