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 traditional settings. Alignerr partners with the world's leading AI research labs to build smarter, safer AI models, and we need credentialed public health professionals to help get it right.
As a Health Policy & Management AI Content Specialist, you'll directly shape how AI understands population health, epidemiology, health equity, and policy — ensuring it reflects scientific consensus and real-world evidence. This is meaningful, high-impact work you can do entirely 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 — Create advanced prompts and case studies involving disease outbreak simulations, health equity assessments, biostatistical interpretation, and policy analysis challenges
- Author Ground-Truth Responses — Write rigorous, step-by-step model answers that synthesize peer-reviewed research, epidemiological data, and current public health guidelines from sources 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 health reasoning
- Refine AI Reasoning — Provide structured feedback that helps models distinguish correlation from causation, communicate health risks clearly, and respond appropriately to diverse populations
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Who You Are
- Holds a Masters in 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
- Skilled at translating complex health data into clear, accurate, and culturally sensitive written communication
- High attention to detail when reviewing statistical significance, data citations, and intervention logic
- No prior AI experience required — your domain expertise is what matters
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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 directly with cutting-edge Large Language Models from leading AI research labs
- Fully remote and async — work when and where it suits you
- Freelance flexibility: high autonomy, varied work, and global reach
- Contribute to AI that could meaningfully improve public health outcomes worldwide
- Potential for ongoing contract renewals as new projects launch
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