Alignerr
Health Policy & Management - AI Content Specialist
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Health Policy & Management — AI Content Specialist
About The Role
Your public health expertise is more valuable than ever — and not just in the clinic or the policy room. We're looking for Masters in Public Health (MPH) professionals to help train and evaluate cutting-edge AI models on some of the most complex and consequential topics in health: disease surveillance, health equity, biostatistics, and evidence-based policy.
At Alignerr, we partner with the world's leading AI research labs to ensure their models think rigorously, communicate responsibly, and reflect scientific consensus. Your domain knowledge will directly shape how AI handles real-world public health challenges.
What You'll Do
- Design complex public health scenarios — Create advanced case studies involving disease outbreak simulations, health equity assessments, and clinical trial data interpretation that challenge the AI's reasoning.
- Author expert-level reference solutions — Write rigorous, step-by-step responses grounded in peer-reviewed research, epidemiological data, and current guidelines from bodies like the CDC and WHO.
- Audit AI-generated health content — Evaluate the accuracy, scientific validity, and ethical soundness of AI responses. Identify misinformation, logical gaps, and bias in health reasoning.
- Refine AI reasoning — Provide structured, expert feedback that helps models distinguish correlation from causation, communicate risk appropriately, and serve diverse populations.
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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 communication
- Detail-oriented when it comes to statistical significance, data citations, and the logic of health interventions
- No prior AI experience required — we'll onboard you fully
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Nice to Have
- Experience with data annotation, quality evaluation, or research coordination
- Familiarity with data analysis tools such as R, SAS, or Stata
- Background in health communication, clinical research, or public health monitoring
Why Join Us
- Work on high-impact AI projects alongside the world's leading research labs
- Fully remote and flexible — work on your own schedule, 10–40 hours/week
- Contractor perks: autonomy, variety, and global collaboration
- Put your advanced degree to work in an emerging and rapidly growing field
- Potential for ongoing contract renewals and expanded project opportunities
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