Health Policy & Management - AI Content Specialist
About this role
About the Role Your public health expertise is needed where it matters most: ensuring AI gets health right. At Alignerr, we partner with the world's leading AI research labs to build smarter, safer AI models — and we need credentialed public health professionals to make it happen. As a Health Policy & Management AI Content Specialist, you'll directly shape how cutting-edge AI systems understand population health, epidemiology, biostatistics, and health policy. This is a rare opportunity to apply your graduate-level training to a high-impact, fully remote contract role — on your own schedule. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week --- What You'll Do - Design Complex Public Health Scenarios — Create advanced case studies involving disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trials to challenge and test AI reasoning. - Author Ground-Truth Solutions — Write rigorous, step-by-step responses that synthesize peer-reviewed research, epidemiological data, and current guidelines from bodies like the CDC and WHO. - Audit AI Outputs — Evaluate AI-generated health advice and policy recommendations for accuracy, bias, and adherence to ethical standards. Identify misinformation, logical gaps, and reasoning errors. - Refine AI Reasoning — Provide structured feedback that helps AI models distinguish correlation from causation, interpret health data correctly, and communicate health risks clearly across diverse populations. --- 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 - Able to translate complex health data into clear, accurate, and culturally sensitive written communication - High attention to detail when evaluating statistical significance, data citations, and the logic of health interventions - Self-motivated and comfortable working independently on an asynchronous, task-based schedule - No prior AI experience required Nice to Have - Experience with data annotation, data quality review, or evaluation systems - Proficiency in data analysis software such as R, SAS, or Stata - Background in health communication, clinical research coordination, or public health monitoring --- Why Join Us - Meaningful impact — Your expertise directly improves how AI handles real-world health information for millions of people - Fully remote and flexible — Work from anywhere, on a schedule that fits your life - Engage with frontier AI — Work hands-on with industry-leading large language models - Contractor autonomy — High agency, global reach, and the flexibility of freelance work - Ongoing opportunities — Strong performers are considered for contract renewals and expanded projects
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