Health Policy & Management - AI Content Specialist
About this role
About the Role Your public health expertise is more valuable than you think — especially to AI. We're partnering with the world's leading AI research labs to make sure their models provide accurate, evidence-based health information. As a Health Policy & Management AI Content Specialist, you'll challenge and refine cutting-edge Large Language Models on everything from epidemiology to health equity, helping ensure AI gets public health right. This is a fully remote, flexible contract role built for MPH graduates and public health professionals who want meaningful work that fits around their lives. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week --- What You'll Do - Design Complex Scenarios — Create advanced public health challenges including disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trial data - Author Expert Solutions — Write rigorous, step-by-step responses grounded in peer-reviewed research, epidemiological evidence, and current guidelines from bodies like the CDC and WHO - Audit AI Outputs — Evaluate AI-generated health advice and policy recommendations for accuracy, bias, and ethical integrity — catching misinformation and logical gaps before they spread - Refine AI Reasoning — Provide structured, expert feedback that helps models distinguish correlation from causation, communicate health risks clearly, and serve diverse populations equitably --- Who You Are Required: - Master's degree in Public Health (MPH), Master of Science in Public Health (MSPH), or closely related graduate field - Strong foundational knowledge in at least two of the following: Epidemiology, Biostatistics, Environmental Health, or Health Policy - Ability to translate complex health data into clear, culturally sensitive, actionable writing - High attention to detail — especially around statistical significance, data citations, and intervention logic - No prior AI experience needed — we'll onboard you 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 surveillance --- Why Join Us - Meaningful impact — Your expertise directly shapes how millions of people receive health information through AI - Fully remote and flexible — Work when and where you choose, on your own schedule - Engage with cutting-edge AI — Get hands-on experience with the most advanced LLMs in the world - Contractor autonomy — High agency, no micromanagement, and the ability to scale your hours up or down - Ongoing opportunities — Strong performers are prioritized for contract renewals and new projects
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