Health Policy & Management — AI Content Specialist About the Role Your public health expertise is more valuable than ever — and not just in traditional settings.
Health Policy & Management - AI Content Specialist
Job description
Health Policy & Management — AI Content Specialist
About the Role
Your public health expertise is needed where it matters most right now: teaching AI to think like an expert. At Alignerr, we partner with the world's leading AI research labs to build smarter, safer, and more accurate AI models — and we need credentialed public health professionals to help us get there.
This is a fully remote, flexible contract role where your knowledge of epidemiology, biostatistics, health policy, and global health equity will directly shape how AI understands and communicates health information.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design challenging 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 grounded in peer-reviewed research, epidemiological evidence, and current guidelines from CDC, WHO, and similar bodies
- Audit AI-generated health content — Evaluate AI outputs for accuracy, logical consistency, ethical soundness, and potential misinformation in health reasoning
- Refine model reasoning — Provide structured feedback that helps AI distinguish correlation from causation, communicate risk appropriately, and serve diverse populations with cultural sensitivity
Who You Are
- Holds a Master of 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
- Able to translate complex health data into clear, accurate, and culturally sensitive written content
- High attention to detail when it comes to statistical significance, data citations, and the logic of health interventions
- Self-directed and comfortable working independently in an async environment
- No prior AI experience required
Nice to Have
- Experience with data annotation, quality review, or evaluation workflows
- 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
- Work directly with cutting-edge large language models used by top AI research labs
- Fully remote and async — work on your own schedule, from anywhere
- Freelance advantages: autonomy, flexibility, and variety in your work
- Meaningful impact — your expertise helps ensure AI delivers accurate, ethical health information to millions
- Potential for ongoing contract renewals and expanded project involvement
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