Health Policy & Management

Manchester Source: WhatJobs
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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

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

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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