Alignerr
Health Policy & Management
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Health Policy & Management — AI Data Trainer
About The Role
Your public health expertise is more valuable than ever — and not just in traditional settings. We're looking for Masters in Public Health (MPH) graduates to help train and evaluate cutting-edge AI models on health policy, epidemiology, and evidence-based medicine. Your work will directly shape how AI communicates health information to the world.
This is a fully remote, flexible contract role working alongside leading AI research labs. No prior AI experience needed — just deep domain knowledge and a commitment to accuracy.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Design Complex Public Health Scenarios — Create advanced case studies involving disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trials to challenge and train AI reasoning
- Author Ground-Truth Solutions — Develop 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 ethical soundness — identifying misinformation and logical gaps in the model's reasoning
- Refine AI Reasoning — Provide structured feedback that helps AI distinguish correlation from causation, communicate risk clearly, and tailor health messaging for diverse populations
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Who You Are
- Holder of a Masters in Public Health (MPH), MSPH, or closely related graduate degree
- Strong foundational knowledge in at least two of: Epidemiology, Biostatistics, Environmental Health, or Health Policy
- Skilled at translating complex health data into clear, actionable, and culturally sensitive written content
- Detail-oriented — precise when evaluating statistical significance, data citations, and the logic of health interventions
- No prior AI experience required
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Nice to Have
- Experience with data annotation, quality evaluation, or research coordination
- Proficiency in data analysis tools such as R, SAS, or Stata
- Background in health communication, clinical research, or public health surveillance
Why Join Us
- Work on meaningful, high-impact AI projects with top-tier research labs
- Fully remote and flexible — work on your schedule, 10 to 40 hours per week
- Freelance advantages: autonomy, variety, and the ability to work from anywhere
- Contribute directly to ensuring AI systems provide safe, accurate, and equitable health information
- Potential for ongoing contract renewals and expanded project opportunities
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