
Healthcare Subject Matter Expert β AI Model Evaluation
Posted Oct 20

Posted Oct 20
This is a fully remote position, open to applicants in Australia, +6 more countries.
β’ Evaluate AI-generated healthcare information for accuracy, completeness, clinical relevance, and alignment with established medical knowledge and guidelines.
β’ Review AI-generated clinical assessments, differential diagnoses, and explanations related to treatment.
β’ Detect factual inaccuracies, unsupported assumptions, omitted clinical considerations, and potential risks to patient safety.
β’ Conduct medical research and authenticate information through peer-reviewed literature, clinical practice guidelines, and recognized healthcare resources.
β’ Analyze hypothetical patient scenarios, including symptoms, medical histories, laboratory results, and diagnostic data.
β’ Offer evidence-based feedback and suggest necessary corrections.
β’ Adhere to project-specific scoring rubrics, annotation instructions, and quality assurance protocols.
β’ Complete independent evaluation tasks using designated online platforms, such as DataCompute.
β’ Meet specified deadlines and uphold quality standards.
β’ Ensure confidentiality and comply with privacy, ethical, and data security regulations.
β’ Currently enrolled in the third or fourth year of an accredited medical degree program, a qualifying medical internship or residency, or an advanced NP or PA educational program with relevant clinical training.
β’ Relevant academic coursework, clinical rotations, or supervised training in General Practice, Family Medicine, Internal Medicine, Nurse Practitioner practice, or Physician Assistant practice.
β’ Strong grasp of medical terminology, anatomy, physiology, pathology, pharmacology, and pertinent clinical concepts.
β’ Capability to assess medical scenarios, interpret clinical information, and differentiate evidence-based reasoning from erroneous or unsupported conclusions.
β’ Proficient in researching medical literature, interpreting clinical guidelines, and validating findings using authoritative healthcare resources.
β’ Strong analytical skills, problem-solving capabilities, and meticulous attention to detail.
β’ Excellent written English proficiency.
β’ Comfortable with computers, web-based platforms, digital documentation, and online research tools.
β’ Ability to adhere to detailed instructions, complete tasks independently, and meet quality expectations.
β’ Willingness to engage in a remote, freelance capacity with project-based assignments and schedules.
β’ Second-year medical students must be enrolled at a leading medical school.
β’ Relevant specialty or study track is required.
β’ Independent medical licensure and prior experience as a licensed physician, Nurse Practitioner, or Physician Assistant are not necessary for eligible student-level roles.
β’ Remote work from an eligible location.
β’ Exposure to AI evaluation, medical content assessment, and evidence-based research.
β’ Opportunity to apply medical education and clinical reasoning to healthcare AI projects.
β’ Flexible scheduling, including potential weekday and weekend assignments.
β’ Project-based freelance engagement.
β’ No prior AI experience necessary.
Invisible Technologies
Invisible Technologies
Invisible Technologies
Invisible Technologies
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