[Remote] Healthcare Subject Matter Expert (SME) - AI Model Evaluation (Canada)

Note: The job is a remote job and is open to candidates in USA. Volga Partners is seeking healthcare students and trainees to evaluate AI-generated medical information and clinical reasoning. The role involves reviewing hypothetical medical scenarios, verifying claims against credible evidence, identifying inaccuracies and safety concerns, and providing structured feedback to improve AI model performance.

Responsibilities

• Evaluate AI-Generated Medical Content: Review AI-generated healthcare information for factual accuracy, completeness, clinical relevance, and consistency with established medical knowledge and guidelines
• Assess Clinical Reasoning: Evaluate AI-generated assessments, differential diagnoses, and treatment-related explanations to determine whether conclusions are medically sound and supported by appropriate evidence
• Identify Medical Inaccuracies: Recognize factual errors, unsupported assumptions, missing clinical considerations, and potential patient safety concerns in AI-generated responses
• Conduct Medical Research and Verification: Validate information using credible sources, including peer-reviewed medical literature, clinical practice guidelines, and established healthcare resources
• Review Clinical Scenarios: Analyze hypothetical patient cases, symptoms, medical histories, laboratory findings, and diagnostic information to evaluate AI-generated interpretations
• Provide Evidence-Based Feedback: Clearly explain findings, identify inaccuracies, and recommend appropriate corrections supported by medical evidence and clinical standards
• Apply Evaluation Standards: Consistently follow project-specific scoring rubrics, annotation instructions, and quality assurance guidelines
• Complete Assigned Evaluations: Perform independent evaluation tasks using designated online platforms, including DataCompute, while meeting established deadlines and quality expectations
• Maintain Confidentiality and Professional Standards: Protect sensitive project information and comply with applicable privacy, ethical, and data security requirements

Skills

• Current enrollment in the third or fourth year of a recognized medical degree program, an eligible medical internship or residency, or an advanced NP or PA educational program with relevant clinical training
• Academic coursework, clinical rotations, or supervised training related to General Practice, Family Medicine, Internal Medicine, Nurse Practitioner practice, or Physician Assistant practice
• Strong understanding of medical terminology, anatomy, physiology, pathology, pharmacology, and clinical concepts relevant to their area of training
• Ability to assess medical scenarios, interpret clinical information, and distinguish evidence-based reasoning from inaccurate or unsupported conclusions
• Ability to research medical literature, interpret clinical guidelines, and validate findings using authoritative healthcare resources
• Strong analytical reasoning, problem-solving abilities, and attention to detail
• Excellent written English skills, with the ability to clearly explain clinical findings, document evaluations, and support conclusions with credible evidence
• Comfort working with computers, web-based platforms, digital documentation, and online research tools
• Ability to follow detailed instructions, complete assignments independently, and consistently meet established quality requirements
• Willingness to participate in a remote, freelance engagement where assignments and schedules are determined by project needs
• Relevant specialty or study track required (see list above)
• Clinical rotations, clerkships, internships, or supervised training in general practice, family medicine, internal medicine, or primary care
• Enrollment in the clinical phase of an accredited or recognized medical, NP, or PA educational program
• Experience reviewing medical records, clinical case studies, laboratory results, or diagnostic documentation
• Familiarity with evidence-based medicine, differential diagnosis, and established clinical practice guidelines
• Participation in medical research, literature reviews, clinical case presentations, or healthcare-related academic projects
• Exposure to healthcare quality assurance, medical documentation review, or clinical evaluation
• Interest in artificial intelligence, healthcare technology, or medical informatics
• Previous AI evaluation experience is beneficial but not required

Benefits

• Apply your medical education and clinical reasoning skills to contribute to advanced AI evaluation projects.
• Your evaluations will help identify weaknesses in AI-generated medical information and support the development of more reliable and medically informed AI systems.
• Gain exposure to AI evaluation, medical content assessment, and evidence-based research while expanding your experience beyond traditional clinical settings.
• Work remotely.

Company Overview

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