Health Policy & Management — AI Content Specialist
About The Role
Your public health expertise is more valuable than ever — and not just in traditional settings. We're looking for Masters in Public Health (MPH) professionals to help train the next generation of AI models to reason accurately about population health, policy, and epidemiology.
At Alignerr, we partner with the world's leading AI research labs to build smarter, safer, and more reliable AI systems. In this role, your domain knowledge becomes the benchmark that AI must meet. You'll challenge, evaluate, and refine how AI understands everything from disease surveillance to health equity — work that has real‑world impact at scale.
* Organization: Alignerr
* Type: Hourly Contract
* Location: Fully Remote
* Commitment: 10–40 hours/week (flexible)
What You'll Do
* Design Complex Public Health Scenarios — Create challenging, real‑world problems involving disease outbreak simulations, health equity assessments, and biostatistical interpretation of clinical trial data.
* Author Ground‑Truth Solutions — Write rigorous, evidence‑based responses that synthesize peer‑reviewed research, epidemiological data, and authoritative guidelines (CDC, WHO, and beyond).
* Audit AI Outputs — Evaluate AI‑generated health advice and policy recommendations for accuracy, bias, logical gaps, and adherence to ethical standards. Identify and flag misinformation in the model's reasoning.
* Refine AI Reasoning — Provide structured feedback that helps AI distinguish correlation from causation, communicate health risks clearly, and serve diverse populations with cultural sensitivity.
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
* Skilled at translating complex health data into clear, actionable, and culturally informed written communication
* Highly detail‑oriented — you notice when a confidence interval is misrepresented or a causal claim lacks evidence
* No prior AI experience required — we’ll onboard you fully
Nice to Have
* Experience with data annotation, content evaluation, or quality assurance workflows
* Proficiency in R, SAS, Stata, or similar data analysis tools
* Background in health communication, clinical research coordination, or public health monitoring
Why Join Us
* Work on meaningful projects at the frontier of AI and public health
* Fully remote and async — work on your own schedule
* Collaborate with world‑class AI research teams without leaving your home
* Freelance flexibility: high autonomy, no rigid office hours, international community
* Real influence: your expertise directly shapes how millions of people receive health information through AI
* Strong potential for ongoing contracts and expanded project opportunities
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