Health Policy & Management — AI Data Trainer

About The Role
Your public health expertise is more valuable than ever — and not just in a clinic or government office. We're looking for Masters in Public Health (MPH) professionals to help train and evaluate cutting-edge AI models on population health, health policy, epidemiology, and biostatistics. At Alignerr, we partner with the world's leading AI research labs to ensure their models produce accurate, evidence-based, and ethically sound health information. When AI gets health wrong, real people are affected. Your expertise helps make sure it gets it right.
• Organization: Alignerr
• Type: Hourly Contract
•

Location:
Remote
• Commitment: 10–40 hours/week

What You'll Do
• Design Complex Public Health Scenarios — Create advanced problem sets involving disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trial data
• Author Ground-Truth Solutions — Write rigorous, step-by-step responses that synthesize peer-reviewed research, epidemiological data, and current public health guidelines (CDC, WHO, and beyond)
• Audit AI Health Reasoning — Evaluate AI-generated health advice and policy recommendations for accuracy, bias, logical consistency, and adherence to ethical standards
• Identify Misinformation — Spot gaps in AI reasoning, flag misleading health claims, and help models distinguish correlation from causation in complex health data




• Refine AI Communication — Provide structured feedback to improve how AI models communicate health risks to diverse populations in clear, culturally sensitive language Who You Are
• Holds a Masters in Public Health (MPH), Master of Science in Public Health (MSPH), or a closely related graduate degree
• Strong foundational knowledge in at least two core pillars: Epidemiology, Biostatistics, Environmental Health, or Health Policy
• Skilled at translating complex health data into clear, actionable, and culturally sensitive written information
• High attention to detail — comfortable checking statistical significance, data citations, and intervention logic
• Self-motivated, reliable, and able to work independently and asynchronously
• No prior AI experience required Nice to Have
• Experience with data annotation, quality assurance, or evaluation frameworks
• 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
• Make a real impact — your work directly shapes how millions of people receive AI-generated health information
• Fully remote and flexible — work on your own schedule, from anywhere
• Engage with frontier AI — get direct exposure to industry-leading large language models
• Freelance autonomy — high agency, variety, and the prospect to work across impactful projects
• Ongoing opportunities — strong performers are considered for contract renewals and expanded project access

📌 Health Policy (Montreal)
🏢 Alignerr
📍 Montreal