Medical General Expert - AI Training

• Review AI-generated medical responses and/or generate expert healthcare content, evaluating reasoning quality and step-by-step clinical problem-solving while providing precise written feedback
• Assess solutions for accuracy, clarity, and adherence to the prompt
• Identify errors in clinical methodology or conceptual understanding
• Fact-check medical information
• Write high-quality explanations and model solutions that demonstrate correct reasoning
• Rate and compare multiple responses based on correctness and reasoning quality
• Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases

• Bachelor’s degree (or higher) in Medicine (MD/DO), Nursing, Public Health (MPH), Health Sciences, or Allied Health, with strong grounding in Epidemiology, Clinical Medicine, Healthcare Systems, and Patient Care
• Confident in clinical reasoning (differential diagnosis, risk stratification, red-flag recognition) and explaining why a conclusion follows from the evidence
• Strong understanding of disease processes, patient care concepts, public health principles, healthcare systems, and medical terminology
• Exceptional attention to detail when fact-checking medical content and identifying unsafe assumptions, missing contraindications, or misinterpretation of tests
• Minimum C1 English proficiency
• Comfortable evaluating answers for internal consistency (timelines, physiology, dosing logic), appropriateness for setting (ED vs outpatient), and patient safety implications
• Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones

Previous experience with AI data training/annotation, clinical documentation review, utilization review, or healthcare editorial QA is strongly preferred

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