Health Policy & Management — AI Content Specialist
About The Role
Your public health expertise is more valuable than ever — and not just in a clinic or government office. At Alignerr, we partner with the world's leading AI research labs to build models that millions of people will rely on for health information and policy guidance.
We're looking for MPH-trained professionals to help ensure those models get it right. You'll challenge AI on its understanding of epidemiology, biostatistics, health equity, and policy — catching errors, filling gaps, and setting a higher standard for health communication in AI.
This is meaningful, flexible, remote work that lets you apply your graduate training in a new and high-impact domain.
Organization: Alignerr
Type: Hourly Contract
Location: Fully Remote
Commitment: 10–40 hours/week
What You'll Do
Design Complex Scenarios — Create advanced public health problems involving disease outbreak simulations, health equity assessments, clinical trial interpretation, and policy analysis challenges
Author Expert-Level Solutions — Write rigorous, evidence-based responses grounded in peer-reviewed research, epidemiological data, and authoritative guidelines (CDC, WHO, and others)
Audit AI Outputs — Evaluate AI-generated health advice and policy recommendations for accuracy, bias, logical consistency, and adherence to ethical standards
Sharpen AI Reasoning — Provide structured feedback that helps models distinguish correlation from causation, communicate risk clearly, and serve diverse populations equitably
Who You Are
Holder of a Master of 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
Detail-oriented when reviewing statistical significance, data citations, and the logic of health interventions
No prior AI experience required — your domain 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 on cutting-edge AI projects with top-tier research labs
Fully remote and asynchronous — work on your own schedule
Freelance flexibility: autonomy, variety, and global collaboration
Direct impact on how AI handles real-world public health questions
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