Health Policy & Management — AI Data Trainer

About The Role

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.

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.

Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week

What You'll Do

Design Complex Public Health Scenarios — Create advanced problem sets involving disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trial data 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) Audit AI Health Reasoning — Evaluate AI-generated health advice and policy recommendations for accuracy, bias, logical consistency, and adherence to ethical standards Identify Misinformation — Spot gaps in AI reasoning, flag misleading health claims, and help models distinguish correlation from causation in complex health data Refine AI Communication — Provide structured feedback to improve how AI models communicate health risks to diverse populations in clear, culturally sensitive language

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 core pillars: Epidemiology, Biostatistics, Environmental Health, or Health Policy Skilled at translating complex health data into clear, actionable, and culturally sensitive written information High attention to detail — comfortable checking statistical significance, data citations, and intervention logic Self-motivated, reliable, and able to work independently and asynchronously No prior AI experience required

Nice to Have

Experience with data annotation, quality assurance, or evaluation frameworks 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

Make a real impact — your work directly shapes how millions of people receive AI-generated health information Fully remote and flexible — work on your own schedule, from anywhere Engage with frontier AI — get direct exposure to industry-leading large language models Freelance autonomy — high agency, variety, and the opportunity to work across impactful projects Ongoing opportunities — strong performers are considered for contract renewals and expanded project access