Health Policy & Management - AI Content Specialist

What You'll Do

• Create advanced public health challenges involving disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trials to rigorously test AI understanding.
• Write rigorous, evidence-based responses that synthesize peer-reviewed research, epidemiological data, and current guidelines from authoritative sources like the CDC and WHO.
• Evaluate AI-generated health advice and policy recommendations for accuracy, bias, and adherence to ethical standards. Identify gaps, misinformation, and flawed reasoning.
• Provide structured, expert feedback that helps AI models distinguish correlation from causation, communicate health risks clearly, and respond appropriately to diverse populations.

Who You Are

• Hold a Master of Public Health (MPH), Master of Science in Public Health (MSPH), or closely related graduate degree.
• Have strong foundational knowledge in at least two of: Epidemiology, Biostatistics, Environmental Health, or Health Policy.
• Translate complex health data into clear, culturally sensitive, and actionable written information.
• Bring a high level of precision when evaluating statistical significance, citations, and the logic of health interventions.
• No prior AI experience required — your public health expertise is what matters.
• Nice to have: Experience with data annotation, quality review, or evaluation workflows; Familiarity with data analysis tools such as R, SAS, or Stata; Background in health communication, clinical research coordination, or public health surveillance.