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. Alignerr partners with the world's leading AI research labs to build smarter, safer AI models, and we need MPH-level specialists to help get health right. As a Health Policy & Management AI Content Specialist, you'll work directly with cutting-edge large language models, stress-testing their understanding of epidemiology, health policy, biostatistics, and global health equity. Your contributions will shape how AI communicates life-critical health information to millions of people. This is a fully remote, flexible contract role — work on your schedule, on projects that matter. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Complex Public Health Scenarios — Create advanced challenges involving disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trials to push AI reasoning to its limits - Author Ground-Truth Solutions — Write rigorous, step-by-step responses that synthesize peer-reviewed research, epidemiological data, and authoritative guidelines (CDC, WHO, and others) - Audit AI-Generated Health Content — Evaluate AI outputs for accuracy, bias, ethical alignment, and logical consistency — catching misinformation before it spreads - Sharpen AI Reasoning — Provide structured, expert feedback that helps models distinguish correlation from causation, and communicate health risks clearly across diverse populations Who You Are - Holds a Master of Public Health (MPH), Master of Science in Public Health (MSPH), or a closely related graduate degree - Strong foundational knowledge in at least two core areas: Epidemiology, Biostatistics, Environmental Health, or Health Policy - Skilled at translating complex health data into clear, actionable, and culturally sensitive written content - Detail-oriented — precise when evaluating statistical significance, data citations, and the logic of health interventions - No prior AI experience required — we'll get you up to speed Nice to Have - Experience with data annotation, quality evaluation, or content review 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 on high-impact projects with industry-leading AI research teams - Fully remote and asynchronous — work when and where it suits you - Freelance advantages: autonomy, flexibility, and global collaboration - Meaningful work that directly influences how AI handles public health information - Potential for ongoing contract renewals and expanded project involvement
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