Health Policy and Management - AI Content Specialist

Health Policy & Management — AI Content Specialist

About The Role

Your public health expertise is needed at the frontier of AI. Alignerr partners with the world's leading AI research labs to build smarter, safer, and more accurate AI models — and we're looking for MPH-level professionals to help us get health right.

This is a rare opportunity to apply your knowledge of epidemiology, biostatistics, and health policy in a high-impact, flexible contractor role. You'll stress-test and shape how cutting-edge AI systems reason about population health, disease, and evidence-based guidelines — work that matters far beyond any single clinic or organization.

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

What You'll Do

• Design Complex Health Scenarios — Create advanced public health problems involving disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trials
• Author Evidence-Based Solutions — Write rigorous, step-by-step responses that synthesize peer-reviewed research, epidemiological data, 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 adherence to ethical standards; identify misinformation and logical gaps in health reasoning
• Refine AI Reasoning — Provide structured feedback that helps AI models 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
• Able to translate complex health data into clear, actionable, and culturally sensitive written content
• High attention to detail when evaluating statistical significance, data citations, and intervention logic
• No prior AI experience required — your domain expertise is what counts

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 directly with industry-leading large language models on meaningful, high-stakes content
• Fully remote and async — work when and where it suits you
• Freelance flexibility: high autonomy, no micromanagement
• Global collaboration with top AI research teams
• Strong potential for ongoing contract renewals and expanded projects