Alignerr
Health Policy & Management
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Health Policy & Management — AI Data Trainer
About The Role
Your public health expertise is needed where it matters most: ensuring AI gets health right. We're partnering with the world's leading AI research labs to build models that provide accurate, evidence-based health information — and we need MPH-trained professionals to make it happen.
This is a fully remote, flexible contract role where your knowledge of epidemiology, biostatistics, health equity, and policy directly shapes how AI reasons about population health. No AI experience required — your domain expertise is what drives the work.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Design Complex Public Health Scenarios — Build advanced case studies 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 guidelines from bodies like the CDC and WHO
- Audit AI Outputs — Evaluate AI-generated health advice and policy recommendations for accuracy, bias, and adherence to ethical standards; identify misinformation and logical gaps in the model's reasoning
- Refine AI Reasoning — Provide structured feedback that helps models distinguish correlation from causation, communicate health risk accurately, and respond appropriately to diverse populations
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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 of: Epidemiology, Biostatistics, Environmental Health, or Health Policy
- Able to translate complex health data into clear, actionable, and culturally sensitive written content
- Precise and detail-oriented when evaluating statistical significance, data citations, and health intervention logic
- No prior AI experience required
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Nice to Have
- Experience with data annotation, data quality assurance, or evaluation systems
- Proficiency in data analysis software such as R, SAS, or Stata
- Background in health communication, clinical research coordination, or public health monitoring
Why Join Us
- Work on cutting-edge AI projects with the world's top research labs
- Fully remote and flexible — work on your own schedule
- Freelance perks: autonomy, variety, and global collaboration
- Meaningful impact — your expertise directly improves how AI handles life-critical health information
- Potential for ongoing work and contract extension
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