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 information right. At Alignerr, we partner with the world's leading AI research labs to train cutting-edge models — and we're looking for Masters in Public Health (MPH) professionals to be the expert voice that keeps AI accurate, ethical, and evidence-based.
This is a fully remote, flexible contract role where your domain knowledge directly shapes how AI understands population health, health policy, and biostatistics. No AI experience required — just deep public health expertise and a commitment to scientific integrity.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Design Complex Health Scenarios — Create advanced public health challenges covering disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trials
- Author Ground-Truth Solutions — Develop rigorous, step-by-step responses grounded in peer-reviewed research, epidemiological data, and current guidelines (CDC, WHO, and beyond)
- 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 health reasoning
- Refine AI Reasoning — Provide structured feedback that helps AI distinguish correlation from causation, communicate health risks clearly, and serve diverse populations equitably
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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
- Skilled at translating complex health data into clear, actionable, and culturally sensitive written communication
- High attention to detail — especially around statistical significance, data citations, and the logic of health interventions
- Self-motivated and comfortable working independently and asynchronously
- No prior AI experience required
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Nice to Have
- Experience with data annotation, data quality, or evaluation workflows
- Proficiency in data analysis tools such as R, SAS, or Stata
- Background in health communication, clinical research coordination, or public health surveillance
Why Join Us
- High-impact work — your expertise directly improves how AI handles real-world public health questions
- Fully remote and flexible — work on your own schedule, wherever you are
- Engage with cutting-edge AI — collaborate on projects with industry-leading language models and top research labs
- Contractor autonomy — high agency, variety in your work, and global reach
- Ongoing opportunity — strong potential for contract renewal and continued collaboration
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Jessica, London
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