13 ott - Montà
Altro
Psychiatrist
È essenziale assicurarsi di soddisfare i requisiti per questo ruolo; la preghiamo di leggere attentamente quanto segue.
Mercor is seeking board-certified psychiatrists for a project with one of the world's top AI labs.
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.
Preferred (scored, not gates)
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.
Faculty appointment in a department of psychiatry, current or within 2 years. xlwpduy
Role details
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
Screening Process
Complete a short interview (approximately 20–30 minutes)
The interview explores your clinical background and subspecialty expertise
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