Health Policy & Management - AI Content Specialist
About this role
About the Role Your public health expertise is more valuable than ever — and not just in traditional settings. At Alignerr, we partner with the world's leading AI research labs to build AI models that are accurate, evidence-based, and safe. We're looking for Masters in Public Health (MPH) professionals to help us get health right. This is a fully remote, flexible contract role where your knowledge of epidemiology, biostatistics, health equity, and policy directly shapes how millions of people will receive health information from AI systems. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week 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 to stress-test AI reasoning. - Author Ground-Truth Solutions — Write rigorous, step-by-step responses that synthesize peer-reviewed research, epidemiological data, and current guidelines from authoritative sources like the CDC and WHO. - Audit AI Health Content — Evaluate AI-generated health advice and policy recommendations for factual accuracy, bias, and adherence to ethical standards. Identify misinformation and logical gaps in the AI's reasoning. - Refine AI Reasoning — Provide structured feedback to help AI models distinguish between correlation and causation, and improve how they communicate health risks to diverse populations. Who You Are - Holds a Masters in Public Health (MPH), MSPH, or closely related graduate degree - Strong foundational knowledge in at least two core areas: Epidemiology, Biostatistics, Environmental Health, or Health Policy - Able to translate complex health data into clear, culturally sensitive, and actionable written content - High attention to detail when evaluating statistical significance, data citations, and health intervention logic - Self-motivated and comfortable working independently and asynchronously - No prior AI experience required Nice to Have - Experience with data annotation, quality assurance, or evaluation workflows - Proficiency with 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 flexible — work when and as much as you want, within the 10–40 hour/week range - Freelance advantages: autonomy, variety, and the ability to work from anywhere - Meaningful work — your expertise helps ensure AI gives people trustworthy, evidence-based health information - Potential for ongoing contract renewals and expanded project involvement
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