Health Policy & Management - AI Content Specialist
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 models that are accurate, evidence-based, and safe. We're looking for Masters-level public health 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 influences 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 problems involving disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trials
- Author Ground-Truth Solutions — Write rigorous, step-by-step responses that draw on peer-reviewed research, epidemiological data, and current guidelines from bodies like the CDC and WHO
- Audit AI Outputs — Evaluate AI-generated health advice and policy recommendations for accuracy, bias, and adherence to ethical standards; flag misinformation and logical gaps in the model's reasoning
- Refine AI Reasoning — Provide structured feedback that helps models distinguish correlation from causation, communicate risk appropriately, and serve diverse populations equitably
Who You Are
- Hold a Masters in Public Health (MPH), Master of Science in Public Health (MSPH), or closely related graduate degree
- Have strong foundational knowledge in at least two of: Epidemiology, Biostatistics, Environmental Health, or Health Policy
- Can translate complex health data into clear, culturally sensitive, and actionable written content
- Are detail-oriented when verifying statistical significance, citations, and the logic of health interventions
- No prior AI experience required — your public health expertise is what matters
Nice to Have
- Experience with data annotation, quality review, or evaluation systems
- 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 from leading AI research labs
- Fully remote and asynchronous — work on your own schedule
- Freelance flexibility: high autonomy, global collaboration, and meaningful impact
- Contribute to AI systems that get public health information right — at scale
- Potential for ongoing contract renewals and expanded project involvement
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