Health Policy & Management - AI Content Specialist
About this role
About the Role Your public health expertise is needed where it matters most right now: teaching AI to think like an expert. At Alignerr, we partner with the world's leading AI research labs to build smarter, safer, and more accurate AI models — and we need credentialed public health professionals to help us get there. This is a fully remote, flexible contract role where your knowledge of epidemiology, biostatistics, health policy, and global health equity will directly shape how AI understands and communicates health information. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design challenging public health scenarios — Create advanced problem sets involving disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trial data - Author ground-truth solutions — Write rigorous, step-by-step responses grounded in peer-reviewed research, epidemiological evidence, and current guidelines from CDC, WHO, and similar bodies - Audit AI-generated health content — Evaluate AI outputs for accuracy, logical consistency, ethical soundness, and potential misinformation in health reasoning - Refine model reasoning — Provide structured feedback that helps AI distinguish correlation from causation, communicate risk appropriately, and serve diverse populations with cultural sensitivity Who You Are - Holds a Master of Public Health (MPH), Master of Science in Public Health (MSPH), or closely related graduate degree - Strong foundational knowledge in at least two of: Epidemiology, Biostatistics, Environmental Health, or Health Policy - Able to translate complex health data into clear, accurate, and culturally sensitive written content - High attention to detail when it comes to statistical significance, data citations, and the logic of health interventions - Self-directed and comfortable working independently in an async environment - No prior AI experience required Nice to Have - Experience with data annotation, quality review, or evaluation workflows - Proficiency in data analysis tools such as R, SAS, or Stata - Background in health communication, clinical research coordination, or public health surveillance Why Join Us - Work directly with cutting-edge large language models used by top AI research labs - Fully remote and async — work on your own schedule, from anywhere - Freelance advantages: autonomy, flexibility, and variety in your work - Meaningful impact — your expertise helps ensure AI delivers accurate, ethical health information to millions - Potential for ongoing contract renewals and expanded project involvement
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