Healthcare SMEs evaluating clinical accuracy, reasoning, and safety in AI - generated medical content for Volga Partners. Project - based remote assignments for physicians, nurse practitioners, and physician assistants.
About the role
- Healthcare SMEs evaluating AI-generated medical content for Volga Partners. Applying clinical judgment to assess accuracy, reasoning, safety, and evidence-based recommendations.
Responsibilities
- Evaluate AI-generated medical content for clinical accuracy, completeness, relevance, and consistency with accepted medical standards
- Analyze whether AI-generated assessments, differential diagnoses, and treatment recommendations are supported by appropriate clinical evidence
- Identify inaccurate medical information, unsupported conclusions, missing clinical considerations, and potential patient safety concerns
- Validate medical information using authoritative medical literature, established clinical guidelines, and evidence-based healthcare practices
- Provide expert feedback, explain findings, identify improvement opportunities, and recommend clinically appropriate corrections
- Apply evaluation guidelines, scoring criteria, and project-specific quality standards to support AI quality improvement
- Complete independent evaluations using designated online platforms accurately and within established project timelines
Requirements
- 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 with and understand this is a task-based role
- Preferred: current or previous professional licensure or registration relevant to the candidate's specialty
- Preferred: experience reviewing medical records, clinical research, medical guidelines, or healthcare quality assessments
- Preferred: familiarity with U.S. healthcare standards or clinical practices in the United Kingdom, Canada, Australia, or New Zealand
- Preferred: experience evaluating clinical documentation, medical literature, or complex healthcare cases
- Preferred: 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
- Remote work from an eligible location
- Project-based assignments with variable schedules and workloads
- Supplemental-income opportunity
- Opportunity to contribute to advanced AI model evaluation without direct patient care
- Experience contributing to advanced AI technology and healthcare AI
- No AI background required
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Healthcare professionals evaluating AI - generated medical content for Volga Partners. Applying clinical judgment to improve the accuracy and reliability of healthcare AI models.
Healthcare SMEs evaluate AI - generated medical content for Volga Partners’ healthcare technology projects. Applying clinical judgment, guidelines, and evidence - based reasoning to improve AI accuracy.
Healthcare SMEs evaluating AI - generated medical content for Volga Partners’ advanced AI projects. Applying clinical judgment to identify errors, validate reasoning, and improve healthcare AI reliability.
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