Overview
Health Policy & Management Jobs in Montreal, Quebec, Canada at Alignerr
Title: Health Policy & Management
Company: Alignerr
Location: Montreal, Quebec, Canada
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 opportunity to work across impactful projects
- Ongoing opportunities — strong performers are considered for contract renewals and expanded project access
