Health Policy & Management

<strong>Health Policy & Management — AI Data Trainer<br><br></strong><strong>About The Role<br><br></strong>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.<br><br>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.<br><br><ul><li>Organization: Alignerr</li><li>Type: Hourly Contract</li><li>Location: Remote</li><li>Commitment: 10–40 hours/week<br><br></li></ul><strong>What You'll Do<br><br></strong><ul><li>Design Complex Public Health Scenarios — Create advanced problem sets involving disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trial data</li><li>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)</li><li>Audit AI Health Reasoning — Evaluate AI-generated health advice and policy recommendations for accuracy, bias, logical consistency, and adherence to ethical standards</li><li>Identify Misinformation — Spot gaps in AI reasoning, flag misleading health claims, and help models distinguish correlation from causation in complex health data</li><li>Refine AI Communication — Provide structured feedback to improve how AI models communicate health risks to diverse populations in clear, culturally sensitive language<br><br></li></ul><strong>Who You Are<br><br></strong><ul><li>Holds a Masters in Public Health (MPH), Master of Science in Public Health (MSPH), or a closely related graduate degree</li><li>Strong foundational knowledge in at least two core pillars: Epidemiology, Biostatistics, Environmental Health, or Health Policy</li><li>Skilled at translating complex health data into clear, actionable, and culturally sensitive written information</li><li>High attention to detail — comfortable checking statistical significance, data citations, and intervention logic</li><li>Self-motivated, reliable, and able to work independently and asynchronously</li><li>No prior AI experience required<br><br></li></ul><strong>Nice to Have<br><br></strong><ul><li>Experience with data annotation, quality assurance, or evaluation frameworks</li><li>Proficiency in data analysis tools such as R, SAS, or Stata</li><li>Background in health communication, clinical research coordination, or public health surveillance<br><br></li></ul><strong>Why Join Us<br><br></strong><ul><li>Make a real impact — your work directly shapes how millions of people receive AI-generated health information</li><li>Fully remote and flexible — work on your own schedule, from anywhere</li><li>Engage with frontier AI — get direct exposure to industry-leading large language models</li><li>Freelance autonomy — high agency, variety, and the opportunity to work across impactful projects</li><li>Ongoing opportunities — strong performers are considered for contract renewals and expanded project access</li></ul>

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