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Alignerr

Health Policy & Management

About this role

About the Role Your public health expertise is more valuable than ever — and not just in traditional settings. 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. This is a rare opportunity to apply your graduate-level knowledge to one of the most impactful frontiers in technology: making AI smarter, safer, and more accurate on health topics that affect millions of people. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week --- What You'll Do - Design Complex Health Scenarios — Create advanced public health problems involving disease outbreak simulations, health equity assessments, and interpretation of clinical trial data - Author Expert-Level Solutions — Write rigorous, step-by-step responses grounded in peer-reviewed research, epidemiological data, and current guidelines from bodies like the CDC and WHO - Audit AI Outputs — Evaluate AI-generated health information and policy recommendations for accuracy, bias, logical consistency, and adherence to ethical standards - Improve AI Reasoning — Provide structured feedback that helps AI models distinguish correlation from causation, communicate health risks clearly, and apply evidence-based thinking across diverse populations --- Who You Are Required: - Master's degree in Public Health (MPH), Master of Science in Public Health (MSPH), or 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, accurate, and culturally sensitive written communication - High attention to detail — especially around statistical significance, data citations, and intervention logic - No prior AI experience required Nice to Have: - Experience with data annotation, quality review, or evaluation systems - 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 shapes how AI handles real-world health information - Fully remote and flexible — Work on your own schedule, anywhere - Freelance autonomy — No micromanagement, high agency, and the freedom to work across projects - Cutting-edge exposure — Engage directly with industry-leading large language models - Ongoing opportunities — Strong performers are regularly considered for contract renewals and new projects - Global collaboration — Join a network of subject matter experts working on meaningful AI challenges worldwide

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