Medical AI Evaluator (NP/PA/RN/MD) - Remote

Volga Partners; Australia; Remote; AUD 30,000 - 70,000; Full time

Job summary

Volga Partners is recruiting Medical AI Evaluators working remotely from Australia to assess AI interpretations of clinical scenarios. You will review medical content, evaluate diagnostic reasoning, and provide structured, evidence-based feedback on AI outputs.

The role suits medical students and trainees in General Practice, Family Medicine, Internal Medicine, NP, or PA tracks. Compensation is project-based hourly, with rates depending on specialty, experience, and project requirements.

Qualifications

• Current enrollment in the third or fourth year of a recognized medical degree program, internship, or residency.
• Enrollment in an advanced NP or PA educational program with relevant clinical training.
• Strong medical knowledge and clinical reasoning required.
• Excellent written English skills and ability to document evaluations clearly.
• Ability to research medical literature and verify findings.

Responsibilities

• Evaluate AI-generated medical content for accuracy and relevance.
• Assess clinical reasoning in AI interpretations and proposed diagnoses.
• Identify medical inaccuracies and safety concerns in AI outputs.
• Conduct medical research to validate information using guidelines.
• Review hypothetical clinical scenarios and provide evidence-based feedback.
• Follow project rubrics and maintain confidentiality and quality standards.
• Complete evaluations via online platforms according to deadlines.

Skills

Medical knowledge

Analytical thinking

Written English

Independent work

Evidence-based reasoning

Education

Medical degree enrollment (3rd/4th year)

NP/PA educational program enrollment

Tools

DataCompute platform

Job description

Volga Partners is recruiting Medical AI Evaluators working remotely from Australia to assess AI interpretations of clinical scenarios. You will review medical content, evaluate diagnostic reasoning, and provide structured, evidence-based feedback on AI outputs.

The role suits medical students and trainees in General Practice, Family Medicine, Internal Medicine, NP, or PA tracks. Compensation is project-based hourly, with rates depending on specialty, experience, and project requirements.