Health Policy & Management
About this role
About the Role Your public health expertise is more valuable than ever — and not just in a clinic or government office. We're looking for Masters in Public Health (MPH) professionals to help train and evaluate cutting-edge AI models on population health, health policy, epidemiology, and biostatistics. At Alignerr, we partner with the world's leading AI research labs to ensure their models produce accurate, evidence-based, and ethically sound health information. When AI gets health wrong, real people are affected. Your expertise helps make sure it gets it right. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week --- What You'll Do - Design Complex 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 that synthesize peer-reviewed research, epidemiological data, and current public health guidelines (CDC, WHO, and beyond) - Audit AI Health Reasoning — Evaluate AI-generated health advice and policy recommendations for accuracy, bias, logical consistency, and adherence to ethical standards - Identify Misinformation — Spot gaps in AI reasoning, flag misleading health claims, and help models distinguish correlation from causation in complex health data - Refine AI Communication — Provide structured feedback to improve how AI models communicate health risks to diverse populations in clear, culturally sensitive language --- Who You Are - Holds a Masters in Public Health (MPH), Master of Science in Public Health (MSPH), or a closely related graduate degree - Strong foundational knowledge in at least two core pillars: Epidemiology, Biostatistics, Environmental Health, or Health Policy - Skilled at translating complex health data into clear, actionable, and culturally sensitive written information - High attention to detail — comfortable checking statistical significance, data citations, and intervention logic - Self-motivated, reliable, and able to work independently and asynchronously - No prior AI experience required Nice to Have - Experience with data annotation, quality assurance, or evaluation frameworks - 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 - Make a real impact — your work directly shapes how millions of people receive AI-generated health information - Fully remote and flexible — work on your own schedule, from anywhere - Engage with frontier AI — get direct exposure to industry-leading large language models - Freelance autonomy — high agency, variety, and the opportunity to work across impactful projects - Ongoing opportunities — strong performers are considered for contract renewals and expanded project access
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