Health Policy & Management

Health Policy & Management — AI Data Trainer
About The Role
AI is rapidly becoming a primary source of health information for millions of people — and it needs to get things right. We're looking for public health professionals with advanced training to help shape how leading AI models reason about epidemiology, health policy, biostatistics, and global health equity.
This is a rare opportunity to apply your MPH expertise at the frontier of AI development, working directly with cutting-edge large language models on high-impact, meaningful work — all 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 — including disease outbreak simulations, health equity assessments, and statistical interpretation of epidemiological data
Author authoritative, evidence-based responses — synthesizing peer-reviewed research, CDC/WHO guidelines, and current public health best practices
Audit AI-generated health content — evaluating accuracy, identifying misinformation, and flagging ethical issues or logical gaps in AI health reasoning
Refine AI reasoning — provide structured feedback that helps models distinguish correlation from causation, communicate health risk clearly, and respond appropriately across diverse populations
Uphold scientific consensus — ensure AI outputs reflect rigorous, ethical, and evidence-based public health standards
Who You Are
Holds an advanced degree in Public Health — MPH, MSPH, or a closely related graduate-level qualification
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 content
Detail-oriented when evaluating statistical significance, data citations, and the logic of health interventions
Self-directed and comfortable working independently on asynchronous tasks
No prior AI experience required
Nice to Have
Experience with data annotation, quality evaluation, or research coordination
Proficiency with data analysis tools such as R, SAS, or Stata
Background in health communication, clinical research, or public health surveillance
Why Join Us
Work at the forefront of AI development alongside leading research labs
Fully remote and flexible — work when and how much suits you
Freelance autonomy with meaningful, intellectually stimulating work
Contribute to AI that impacts how millions of people access health information
Potential for ongoing contract renewals and expanded project involvement

Work arrangement
Yes