Health Policy & Management — AI Content Specialist

About The Role

Your public health expertise is more valuable than ever — not just in clinics or policy offices, but at the frontier of AI development. Alignerr partners with the world's leading AI research labs to build smarter, safer AI systems, and we need public health professionals like you to help get it right.

As a Health Policy & Management AI Content Specialist, you'll directly shape how AI models understand population health, interpret epidemiological data, and communicate evidence-based guidance. This is a rare opportunity to apply your graduate-level training to work that will influence how millions of people receive health information through AI.

Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week (flexible)

What You'll Do

Design Complex Public Health Scenarios — Create advanced problem sets involving disease outbreak simulations, health equity assessments, and interpretation of clinical trial data to challenge and train AI models. Author Ground-Truth Solutions — Write rigorous, step-by-step responses that draw on peer-reviewed research, epidemiological data, and authoritative guidelines (CDC, WHO, and beyond). Audit AI Health Reasoning — Evaluate AI-generated health advice and policy recommendations for accuracy, bias, and alignment with ethical standards. Identify misinformation, logical gaps, and unsupported claims. Refine Model Reasoning — Provide structured, expert feedback to help AI distinguish correlation from causation, communicate health risks clearly, and serve diverse populations equitably.

Who You Are

Holds 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 — precise when evaluating 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 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 meaningful, high-impact projects with leading AI research labs Fully remote and flexible — set your own schedule within a 10–40 hour/week range Freelance advantages: autonomy, variety, and the ability to work from anywhere Engage directly with state-of-the-art large language models Potential for ongoing contract renewals and expanded project involvement Contribute to a future where AI handles health information responsibly and equitably