[Hiring] Healthcare Subject Matter Expert - AI Model Evaluation @Volga Partners

Role Description

Help Shape the Future of AI in Government. What if your clinical expertise could help artificial intelligence better understand complex medical information, evaluate healthcare scenarios, and deliver more accurate, reliable responses?

At Volga Partners, we’re connecting experienced healthcare professionals with opportunities to contribute to the development and evaluation of advanced AI models.

We’re seeking physicians, nurse practitioners, and physician assistants who can apply their clinical knowledge, independent judgment, and evidence-based reasoning to evaluate AI-generated medical information.

This isn’t a traditional healthcare position. You won’t be providing direct patient care or managing a caseload. Instead, you’ll:

• Assess complex medical scenarios
• Challenge inaccurate conclusions
• Identify gaps in reasoning
• Provide structured feedback that improves AI model performance

Your clinical expertise is what matters. AI experience is a plus, not a requirement.

Important Note: This is a freelance, task-based role designed for those seeking supplemental income. It’s essential to understand the nature of freelance work—tasks will be assigned as they become available, and work may be irregular or intermittent.

Qualifications

• Minimum of three years of relevant professional clinical experience in an applicable specialty.
• Recognized medical degree, advanced-practice qualification, or equivalent professional credential appropriate to the specialty and country.
• Demonstrated experience applying clinical judgment, diagnostic reasoning, or evidence-based medical practices.
• Strong understanding of medical terminology, clinical guidelines, and healthcare standards relevant to the candidate's specialization.
• Ability to critically evaluate complex medical information and distinguish accurate clinical reasoning from unsupported conclusions.
• Strong analytical, research, and problem-solving abilities.
• Excellent written English communication skills, including the ability to clearly explain clinical findings and professional assessments.
• Comfort using digital platforms, web-based applications, and online research tools.
• Ability to work independently, follow detailed instructions, and meet established quality standards.
• Must be comfortable and understand this is a task-based role.

Requirements

• Current or previous professional licensure or registration relevant to the candidate's specialty.
• Experience reviewing medical records, clinical research, medical guidelines, or healthcare quality assessments.
• Familiarity with U.S. healthcare standards or clinical practices in the United Kingdom, Canada, Australia, or New Zealand.
• Experience evaluating clinical documentation, medical literature, or complex healthcare cases.
• Previous exposure to AI model evaluation, medical content review, clinical research, or healthcare technology.
• Experience with AI model evaluation, large language models (LLMs), research, or structured quality assessments is beneficial but not required.

Benefits

• Apply Your Clinical Expertise in a New Way: Use the medical knowledge and professional judgment you've developed throughout your career to contribute to advanced AI technology without providing direct patient care.
• Help Improve AI Accuracy and Reliability: Your evaluations will help identify weaknesses in AI-generated medical information and support the development of more accurate, clinically informed AI systems.
• Work Remotely: Participate in specialized project-based assignments from an eligible location, with schedules and workloads determined by project needs.
• Explore the Future of Healthcare Technology: Gain experience contributing to advanced AI model evaluation while applying the professional expertise you already possess.
• No AI Background Required: We're looking for strong clinical professionals who can recognize accurate medical reasoning, identify mistakes, and explain their assessments using sound professional judgment.