Health Policy & Management — AI Content Specialist About The Role Your public health expertise is more valuable than ever — and not just in traditional settings. We're looking for Masters in Public Health (MPH) professionals to help train and improve cutting-edge AI models on health policy, epidemiology, and population health. Your knowledge directly shapes how AI understands and communicates health information to the world. This is a fully remote, flexible contract role working alongside world-leading AI research teams. No AI background required — just deep public health expertise and a passion for accuracy.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week What You'll Do
  • Design Complex Health Scenarios — Create advanced public health problems involving disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trials
  • Author Ground-Truth Solutions — Write rigorous, step-by-step responses that synthesize peer-reviewed research, epidemiological data, and current public health guidelines (CDC, WHO, and beyond)
  • Audit AI Outputs — Evaluate AI-generated health advice and policy recommendations for accuracy, bias, and adherence to ethical standards; identify misinformation and logical gaps in AI health reasoning
  • Refine AI Reasoning — Provide structured feedback that helps AI models distinguish correlation from causation, improve risk communication, and serve diverse populations more effectively Who You Are
  • Hold an MPH, MSPH, or closely related graduate degree in public health
  • Have strong foundational knowledge in at least two of: Epidemiology, Biostatistics, Environmental Health, or Health Policy
  • Can translate complex health data into clear, culturally sensitive, and actionable written content
  • Bring a high level of precision when checking statistical significance, data citations, and the logic of health interventions
  • No prior AI experience required — your domain expertise is what matters Nice to Have
  • Experience with data annotation, quality evaluation, or research coordination
  • Proficiency in data analysis tools such as R, SAS, or Stata
  • Background in health communication, clinical research, or public health monitoring Why Join Us
  • Work on high-impact AI projects with industry-leading research labs
  • Fully remote and asynchronous — work on your own schedule
  • Freelance flexibility: high autonomy, variety, and global reach
  • Directly influence how AI handles real-world public health challenges
  • Potential for ongoing project work and contract renewal

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