Health Policy & Management

About the role

Your expertise in public health could help shape how millions of people receive health information through AI. We're looking for Masters in Public Health (MPH) professionals to work directly with cutting-edge AI models — stress-testing their understanding of epidemiology, health policy, biostatistics, and global health equity. This is a meaningful, high-impact contract role where your domain knowledge becomes a critical safeguard against health misinformation in AI systems.

What You'll Do

• Design Complex Public Health Scenarios — Create advanced, realistic challenges involving disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trials
• Author Ground-Truth Responses — Develop rigorous, evidence-based answers that synthesize peer-reviewed research, epidemiological data, and current guidelines (CDC, WHO, and beyond)
• Audit AI Outputs — Evaluate AI-generated health advice and policy recommendations for accuracy, bias, logical consistency, and adherence to ethical standards
• Refine AI Reasoning — Provide structured feedback that helps AI models distinguish correlation from causation, communicate health risks effectively, and serve diverse populations equitably
• Flag Misinformation — Identify gaps, inaccuracies, or misleading reasoning in AI health content before it reaches the public

Who You Are

• Hold a Masters in Public Health (MPH), MSPH, or a 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 communication
• Bring a high level of precision when evaluating statistical significance, data citations, and health intervention logic
• Are self-motivated and comfortable working independently and asynchronously
• No prior AI experience required — your public health expertise is what matters
• Nice to Have: Experience with data annotation, quality evaluation, or review systems, Proficiency with analytical tools such as R, SAS, or Stata, Background in health communication, clinical research coordination, or public health surveillance