Health Policy & Management

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

Who You Are

• Holds a Masters in Public Health (MPH), Master of Science in Public Health (MSPH), or a closely related graduate degree
• Strong foundationknowledge 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

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, 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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