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 teams to build smarter, safer AI models. We're looking for Masters in Public Health (MPH) professionals to help ensure that cutting-edge AI gets health policy, epidemiology, and population health right.
This is a fully remote, flexible contract role where your domain knowledge directly shapes how millions of people may one day receive health information from AI systems.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design Complex Public Health Scenarios — Create advanced case studies involving disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trials that challenge and stress-test AI reasoning.
- Author Ground-Truth Solutions — Write rigorous, evidence-based responses that synthesize peer-reviewed research, epidemiological data, and current public health guidelines from sources like CDC and WHO.
- Audit AI-Generated Health Content — Evaluate AI outputs for accuracy, bias, and ethical alignment. Identify misinformation, logical gaps, and areas where the model's health reasoning falls short.
- Refine AI Reasoning — Provide structured, expert feedback that helps AI distinguish correlation from causation in health data and communicate health risks effectively 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 a 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, accurate, and culturally sensitive written content
- Detail-oriented — comfortable checking statistical significance, evaluating data citations, and assessing 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 with top-tier research labs and organizations
- Fully remote and asynchronous — work when and where it suits you
- Freelance flexibility: high autonomy, no rigid schedules, global collaboration
- Apply your advanced public health training to a rapidly growing field
- Ongoing contract opportunities as projects expand
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Jessica, London
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