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 MPH-level specialists to help get health right. As a Health Policy & Management AI Content Specialist, you'll work directly with cutting-edge large language models, stress-testing their understanding of epidemiology, health policy, biostatistics, and global health equity. Your contributions will shape how AI communicates life-critical health information to millions of people. This is a fully remote, flexible contract role — work on your schedule, on projects that matter.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design Complex Public Health Scenarios — Create advanced challenges involving disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trials to push AI reasoning to its limits
- Author Ground-Truth Solutions — Write rigorous, step-by-step responses that synthesize peer-reviewed research, epidemiological data, and authoritative guidelines (CDC, WHO, and others)
- Audit AI-Generated Health Content — Evaluate AI outputs for accuracy, bias, ethical alignment, and logical consistency — catching misinformation before it spreads
- Sharpen AI Reasoning — Provide structured, expert feedback that helps models distinguish correlation from causation, and communicate health risks clearly across diverse populations
Who You Are
- Holds a Master of Public Health (MPH), Master of Science in Public Health (MSPH), or a closely related graduate degree
- Strong foundational knowledge in at least two core areas: Epidemiology, Biostatistics, Environmental Health, or Health Policy
- Skilled at translating complex health data into clear, actionable, and culturally sensitive written content
- Detail-oriented — precise when evaluating statistical significance, data citations, and the logic of health interventions
- No prior AI experience required — we'll get you up to speed
Nice to Have
- Experience with data annotation, quality evaluation, or content review 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 on high-impact projects with industry-leading AI research teams
- Fully remote and asynchronous — work when and where it suits you
- Freelance advantages: autonomy, flexibility, and global collaboration
- Meaningful work that directly influences how AI handles public health information
- Potential for ongoing contract renewals and expanded project involvement
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