Public Health Expert
SME Careers
Description du poste
About the role
This hourly, remote contractor position is for a Public Health Subject Matter Expert who will review AI‑generated public‑health responses, create expert content, and provide precise written feedback. The work helps improve the accuracy, safety, and clarity of AI models in population‑health reasoning.
Key responsibilities
- Develop AI training content: create detailed prompts and gold‑standard answers across epidemiology, public‑health practice, policy, prevention, and risk‑communication topics.
- Optimize AI performance: evaluate and rank AI responses to improve correctness, clarity, contextual relevance, and scientific rigor.
- Ensure model integrity: test AI outputs for inaccuracies, misleading evidence interpretation, unsafe recommendations, and bias; validate reliability across populations and settings.
Required profile
- Bachelor’s degree (or higher) in Public Health, Epidemiology, Biostatistics, Health Policy, Global Health, or a related field (MPH preferred) or equivalent professional experience.
- 5+ years of professional experience in public health (government, NGOs, academia, healthcare systems, consulting, or similar).
- Confident in public‑health reasoning, including problem framing, causal thinking, bias/confounding awareness, risk stratification, and prioritization.
- Strong understanding of disease processes at the population level, prevention strategies, screening concepts, vaccination principles, and health‑behavior frameworks.
- Excellent attention to detail when fact‑checking, identifying unsafe assumptions, misleading causal claims, incorrect statistical interpretation, or inappropriate recommendations; minimum C1 English proficiency.
- Reliable, self‑directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.
- Prior experience with AI data training/annotation, systematic reviews, program evaluation, policy analysis, or editorial QA is strongly preferred.
Required skills
- AI data training and annotation
- Systematic review methodology
- Program evaluation techniques
- Policy analysis and editorial quality assurance
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