Health Policy & Management

Health Policy & Management — AI Data Trainer

Your public health expertise is more valuable than ever — not just in the clinic or the policy office, but in shaping how AI understands and communicates health information to the world.

Alignerr partners with the world's leading AI research labs to build smarter, safer AI models. We're looking for Masters in Public Health (MPH) professionals to help train cutting-edge AI systems to reason accurately about population health, epidemiology, biostatistics, and health policy — ensuring AI gets public health right.

This is a fully remote, flexible contract role where your domain knowledge directly influences AI systems used by millions.

• Design complex public health scenarios — Create challenging, realistic problems involving disease outbreak simulations, health equity assessments, and interpretation of clinical trial data
• Author authoritative responses — Write rigorous, evidence-based solutions grounded in peer-reviewed research, epidemiological data, and established guidelines (CDC, WHO, and beyond)
• Audit AI-generated health content — Evaluate AI outputs for accuracy, bias, misinformation, and adherence to ethical health communication standards
• Sharpen AI reasoning — Provide structured feedback that helps models distinguish correlation from causation, communicate risk effectively, and serve diverse populations equitably

• Holds a Master's in Public Health (MPH), MSPH, or closely related graduate degree
• Has strong foundational knowledge in at least two of:
  Epidemiology, Biostatistics, Environmental Health, or Health Policy
• Can translate complex health data into clear, actionable, and culturally sensitive written content
• Detail-oriented — precise when checking statistical significance, data citations, and intervention logic
• No prior AI experience required — your public health expertise is what matters

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

• Direct impact — Your expertise shapes how AI handles real-world health questions and policy challenges
• Fully remote and flexible — Work on your own schedule, 10–40 hours per week
• Engage with cutting-edge AI — Work alongside industry-leading large language models and top research teams
• Freelance autonomy — High agency, global collaboration, and the freedom to work the way you want
• Ongoing opportunities — Strong contributors are considered for contract renewals and expanded projects