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Health policy & management - ai content specialist

Cambridge
Alignerr
Manager
Posted: 20 April
Offer description

Health Policy & Management — AI Content Specialist

Your public health expertise is more valuable than you think — especially to AI. We're partnering with the world's leading AI research labs to make sure their models provide accurate, evidence-based health information. As a Health Policy & Management AI Content Specialist, you'll challenge and refine cutting‑edge Large Language Models on everything from epidemiology to health equity, helping ensure AI gets public health right.

This is a fully remote, flexible contract role built for MPH graduates and public health professionals who want meaningful work that fits around their lives.

* Organization: Alignerr
* Type: Hourly Contract
* Location: Remote
* Commitment: 10–40 hours/week


What You'll Do

* Design Complex Scenarios — Create advanced public health challenges including disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trial data
* Author Expert Solutions — Write rigorous, step‑by‑step responses grounded in peer‑reviewed research, epidemiological evidence, and current guidelines from bodies like the CDC and WHO
* Audit AI Outputs — Evaluate AI‑generated health advice and policy recommendations for accuracy, bias, and ethical integrity — catching misinformation and logical gaps before they spread
* Refine AI Reasoning — Provide structured, expert feedback that helps models distinguish correlation from causation, communicate health risks clearly, and serve diverse populations equitably


Required / Who You Are

* Master's degree in Public Health (MPH), Master of Science in Public Health (MSPH), or closely related graduate field
* Strong foundational knowledge in at least two of the following: Epidemiology, Biostatistics, Environmental Health, or Health Policy
* Ability to translate complex health data into clear, culturally sensitive, actionable writing
* High attention to detail — especially around statistical significance, data citations, and intervention logic
* No prior AI experience needed — we'll onboard you


Nice to Have

* Experience with data annotation, quality evaluation, or research coordination
* Proficiency in data analysis tools such as R, SAS, or Stata
* Background in health communication, clinical research, or public health surveillance


Why Join Us

* Meaningful impact — Your expertise directly shapes how millions of people receive health information through AI
* Fully remote and flexible — Work when and where you choose, on your own schedule
* Engage with cutting-edge AI — Get hands‑on experience with the most advanced LLMs in the world
* Contractor autonomy — High agency, no micromanagement, and the ability to scale your hours up or down
* Ongoing opportunities — Strong performers are prioritized for contract renewals and new projects
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