Health Policy & Management
About this role
About the Role Your public health expertise is needed where it matters most: ensuring AI gets health information right. At Alignerr, we partner with the world's leading AI research labs to train cutting-edge models — and we're looking for Masters in Public Health (MPH) professionals to be the expert voice that keeps AI accurate, ethical, and evidence-based. This is a fully remote, flexible contract role where your domain knowledge directly shapes how AI understands population health, health policy, and biostatistics. No AI experience required — just deep public health expertise and a commitment to scientific integrity. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week --- What You'll Do - Design Complex Health Scenarios — Create advanced public health challenges covering disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trials - Author Ground-Truth Solutions — Develop 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; identify misinformation and logical gaps in health reasoning - Refine AI Reasoning — Provide structured feedback that helps AI distinguish correlation from causation, communicate health risks clearly, and serve diverse populations equitably --- 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 of: Epidemiology, Biostatistics, Environmental Health, or Health Policy - Skilled at translating complex health data into clear, actionable, and culturally sensitive written communication - High attention to detail — especially around statistical significance, data citations, and the logic of health interventions - Self-motivated and comfortable working independently and asynchronously - No prior AI experience required Nice to Have - Experience with data annotation, data quality, or evaluation 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 - High-impact work — your expertise directly improves how AI handles real-world public health questions - Fully remote and flexible — work on your own schedule, wherever you are - Engage with cutting-edge AI — collaborate on projects with industry-leading language models and top research labs - Contractor autonomy — high agency, variety in your work, and global reach - Ongoing opportunity — strong potential for contract renewal and continued collaboration
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