Alignerr
Health Policy & Management
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Health Policy & Management — AI Data Trainer
About The Role
What if your public health expertise could influence how millions of people receive health information through AI? At Alignerr, we partner with the world's leading AI research labs to build smarter, safer, and more accurate AI models — and we need domain experts like you to make it happen.
We're looking for Masters in Public Health (MPH) graduates and public health professionals to help train and evaluate cutting-edge AI models on health policy, epidemiology, biostatistics, and global health equity. Your expertise will directly shape how AI understands and communicates evidence-based health information — ensuring it stays accurate, ethical, and aligned with scientific consensus.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week (flexible)
What You'll Do
- Design Complex Health Scenarios — Create advanced public health challenges involving disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trials
- Author Ground-Truth Solutions — Develop rigorous, step-by-step responses that synthesize peer-reviewed research, epidemiological data, and current public health 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, expert feedback that helps AI models distinguish between correlation and causation, and communicate health risks clearly 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 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
- Meticulous attention to detail — statistical significance, data citations, and logic of health interventions
- No prior AI experience required — your public health knowledge is what matters
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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 monitoring
Why Join Alignerr
- Work on meaningful, high-impact projects — your expertise helps shape how AI handles real public health questions
- Fully remote and flexible — work on your own schedule, anywhere in the world
- Direct engagement with industry-leading AI models from top research labs
- Freelance perks: autonomy, variety, and the ability to contribute across multiple projects
- Potential for ongoing contract renewals as new projects launch
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