Health Policy & Management

Health Policy & Management — AI Data Trainer
About The Role
Your public health expertise is more valuable than ever — and not just in clinics or government offices. At Alignerr, we partner with the world's leading AI research labs to build smarter, safer AI models. We're looking for Masters in Public Health (MPH) graduates to help ensure that AI systems provide accurate, evidence-based health information grounded in scientific consensus and ethical guidelines.
This is a fully remote, flexible contract role where your domain knowledge directly shapes how millions of people will interact with AI on critical health topics.
What You'll Do
Design Complex Health Scenarios — Develop advanced public health challenges covering 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 authoritative guidelines from sources like the CDC and WHO
Audit AI Outputs — Evaluate AI-generated health advice and policy recommendations for factual accuracy, potential bias, and adherence to ethical standards — flagging misinformation and logical gaps
Refine AI Reasoning — Provide structured feedback that helps models distinguish correlation from causation, communicate health risks clearly, and adapt messaging to diverse populations
Who You Are
Holds a Masters in Public Health (MPH), MSPH, or 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, culturally sensitive, and actionable written content
Detail-oriented when working with statistical significance, data citations, and intervention logic
No prior AI experience required — we'll get you up to speed
Nice to Have
Experience with data annotation, quality evaluation, or research review workflows
Proficiency with data analysis tools such as R, SAS, or Stata
Background in health communication, clinical research coordination, or public health surveillance
Why Join Us
Work on high-impact AI projects with leading research labs and teams
Fully remote and asynchronous — work on your own schedule, 10–40 hours/week
Freelance flexibility: high autonomy, global reach, and meaningful variety in your work
Directly contribute to making AI safer and more accurate on topics that affect public health worldwide
Strong potential for ongoing contract renewals as new projects launch

Work arrangement
Yes