About the Role
Your public health expertise is more valuable than ever — and not just in traditional settings. At Alignerr, we partner with the world's leading AI research labs to build AI models that are accurate, evidence-based, and safe. We're looking for Masters in Public Health (MPH) professionals to help us get health right.
This is a fully remote, flexible contract role where your knowledge of epidemiology, biostatistics, health equity, and policy directly shapes how millions of people will receive health information from AI systems.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design Complex Public Health Scenarios — Create advanced, realistic challenges involving disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trials to stress-test AI reasoning.
- Author Ground-Truth Solutions — Write rigorous, step-by-step responses that synthesize peer-reviewed research, epidemiological data, and current guidelines from authoritative sources like the CDC and WHO.
- Audit AI Health Content — Evaluate AI-generated health advice and policy recommendations for factual accuracy, bias, and adherence to ethical standards. Identify misinformation and logical gaps in the AI's reasoning.
- Refine AI Reasoning — Provide structured feedback to help AI models distinguish between correlation and causation, and improve how they communicate health risks to diverse populations.
Who You Are
- Holds a Masters in Public Health (MPH), MSPH, or closely related graduate degree
- Strong foundational knowledge in at least two core areas: Epidemiology, Biostatistics, Environmental Health, or Health Policy
- Able to translate complex health data into clear, culturally sensitive, and actionable written content
- High attention to detail when evaluating statistical significance, data citations, and health intervention logic
- Self-motivated and comfortable working independently and asynchronously
- No prior AI experience required
Nice to Have
- Experience with data annotation, quality assurance, or evaluation workflows
- Proficiency 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 directly with cutting-edge Large Language Models used by top AI research labs
- Fully remote and flexible — work when and as much as you want, within the 10–40 hour/week range
- Freelance advantages: autonomy, variety, and the ability to work from anywhere
- Meaningful work — your expertise helps ensure AI gives people trustworthy, evidence-based health information
- Potential for ongoing contract renewals and expanded project involvement