Remote Psychiatrist: AI Clinical Evaluation & Chart Review

Synthires; United States; Remote; USD 170,000 - 243,000; Full time

Benefits offered by this job

Fully remote engagement

Flexible, part-time hours

Job summary

Synthires is seeking board-certified psychiatrists to evaluate healthcare AI models. Contractors will review de-identified patient charts and assess AI-generated responses to clinical questions in psychiatry, aiming to improve clinical accuracy, patient safety, and alignment with current standards of care.

Responsibilities include comparing two AI responses for strength, writing structured rationales, and flagging errors that could impact patient safety.

Qualifications

• MD or DO from an accredited medical school.
• Board certification in Psychiatry (ABMS/AOA).
• Active, unrestricted U.S. medical license.
• Completed residency and fellowship as required.
• Currently practicing and seeing patients in the United States.
• At least one year of independent practice after training.
• Strong written communication and attention to detail.

Responsibilities

• Evaluate AI-generated psychiatry responses for clinical accuracy, safety, and adherence to current standards of care.
• Review patient charts and compare two AI-generated responses to determine which is stronger.
• Write structured rationales assessing clinical rigor, completeness, and clarity.
• Identify and flag errors that could compromise patient safety.

Skills

Strong written communication

Attention to detail

Education

MD/DO degree

Board certification in Psychiatry

Active U.S. medical license

Residency and fellowship completed

Job description

Synthires is seeking board-certified psychiatrists to evaluate healthcare AI models. Contractors will review de-identified patient charts and assess AI-generated responses to clinical questions in psychiatry, aiming to improve clinical accuracy, patient safety, and alignment with current standards of care.

Responsibilities include comparing two AI responses for strength, writing structured rationales, and flagging errors that could impact patient safety.