Applied Formal Methods Researcher (Lean 4) About the Role What if your deep mathematical training could directly shape how AI reasons about the hardest problems in mathematics?
Health Policy & Management - AI Content Specialist
Job description
Health Policy & Management — AI Content Specialist
About the Role
Your public health expertise is more valuable than ever — and not just in traditional settings. At Alignerr, we partner with the world's leading AI research labs to build smarter, safer, and more accurate AI models. We're looking for Masters in Public Health (MPH) professionals to help shape how AI understands and communicates health policy, epidemiology, and population health.
This is a fully remote, flexible contract role where your domain knowledge directly improves AI systems used by 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 challenges involving disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trials
- 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 Outputs — Evaluate AI-generated health advice and policy recommendations for accuracy, bias, and adherence to ethical standards; identify misinformation and logical gaps in health reasoning
- Refine AI Reasoning — Provide structured feedback that helps AI distinguish correlation from causation, and communicate health risks clearly to diverse populations
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 the following: Epidemiology, Biostatistics, Environmental Health, or Health Policy
- Able to translate complex health data into clear, actionable, and culturally sensitive written content
- High attention to detail when checking statistical significance, data citations, and the logic of health interventions
- No prior AI experience required — your public health knowledge is what matters
Nice to Have
- Experience with data annotation, quality evaluation, or research coordination
- Proficiency in data analysis tools such as R, SAS, or Stata
- Background in health communication, clinical research, or public health surveillance
Why Join Us
- Work on cutting-edge AI projects alongside top-tier research labs
- Fully remote and async — work on your own schedule
- Freelance perks: autonomy, flexibility, and global collaboration
- Make a direct, meaningful impact on how AI handles health information at scale
- Potential for ongoing work and contract renewal
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