Health Policy & Management - AI Content Specialist
About this role
About the Role Your public health expertise is in demand — not in a clinic or government office, but at the frontier of AI development. We're looking for Masters in Public Health (MPH) professionals to help train and evaluate cutting-edge AI models on health policy, epidemiology, and evidence-based medicine. Your knowledge directly shapes how millions of people receive health information through AI. This is a fully remote, flexible contract role working with Alignerr — a company partnered with the world's leading AI research labs. - Organization: Alignerr - Type: Hourly Contract - Location: Remote (Worldwide) - Commitment: 10–40 hours/week --- What You'll Do - Design Complex Health Scenarios — Create advanced public health challenges involving disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trials to test AI reasoning - Author Ground-Truth Solutions — Write rigorous, step-by-step responses grounded in peer-reviewed research, epidemiological data, and current guidelines (CDC, WHO, and beyond) - Audit AI Outputs — Evaluate AI-generated health advice and policy recommendations for accuracy, bias, and adherence to ethical standards — flagging misinformation and logical gaps - Refine AI Reasoning — Provide structured feedback that helps models distinguish correlation from causation, communicate risk accurately, and serve diverse populations equitably --- Who You Are Required: - 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 of: Epidemiology, Biostatistics, Environmental Health, or Health Policy - Ability to translate complex health data into clear, actionable, and culturally sensitive written content - High attention to detail when checking statistical significance, data citations, and health intervention logic - No prior AI experience required — we'll provide everything you need to get started 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 improves how AI handles life-affecting health information for users worldwide - Work on Your Terms — Fully remote and asynchronous; set your own schedule within a 10–40 hour weekly range - Top-Tier AI Access — Engage directly with industry-leading large language models at the cutting edge of AI development - Contractor Autonomy — High agency, flexibility, and the freedom to work from anywhere in the world - Ongoing Opportunities — Strong performers are considered for continued and expanded contract engagements
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