Health Policy & Management – AI Content Specialist About The Role Your public health expertise can do more than inform policy — it can shape how millions of people access health information through AI. At Alignerr, we partner with the world's leading AI research labs to build smarter, safer, and more accurate AI models. We're looking for Masters in Public Health (MPH) graduates to help us get health right at scale. This is a fully remote, flexible contractor role where your domain knowledge directly influences how AI understands epidemiology, health equity, biostatistics, and public health policy.

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

What You'll Do

• Design Complex Health Scenarios — Create advanced public health challenges involving disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trials to rigorously test AI understanding.
• Author Ground-Truth Solutions — Write rigorous, evidence-based responses that synthesize peer-reviewed research, epidemiological data, and current guidelines from authoritative sources 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 gaps, misinformation, and flawed reasoning.
• Refine AI Reasoning — Provide structured, expert feedback that helps AI models distinguish correlation from causation, communicate health risks clearly, and respond appropriately to diverse populations.

Who You Are

• Hold a Master of Public Health (MPH), Master of Science in Public Health (MSPH), or closely related graduate degree
• Have strong foundational knowledge in at least two of: Epidemiology, Biostatistics, Environmental Health, or Health Policy
• Can translate complex health data into clear, culturally sensitive, and actionable written information
• Bring a high level of precision when evaluating statistical significance, citations, and the logic of health interventions
• No prior AI experience required — your public health expertise is what matters

Nice to Have

• Experience with data annotation, quality review, or evaluation workflows
• Familiarity with 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 projects with real-world impact — helping AI get public health information right
• Engage directly with industry-leading large language models
• Fully remote and flexible — work on your own schedule
• Freelance advantages: high autonomy, variety, and global collaboration
• Potential for ongoing contract renewals and expanded project involvement