{"html":"<p>In this hourly, remote contractor role, you will work as a Public Health Subject Matter Expert (SME) to review AI-generated public health and population-health responses and/or create expert public health content, evaluating reasoning quality and step-by-step analytical problem-solving while providing precise written feedback. You will assess solutions for accuracy, clarity, safety, and adherence to the prompt; identify errors in epidemiologic reasoning, study interpretation, surveillance logic, risk communication, and health-systems concepts; fact-check public health claims; write high-quality explanations and model solutions that demonstrate correct reasoning; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your public health expertise directly helps improve the world’s premier AI models by making their population-health reasoning, evidence interpretation, and public-facing guidance more accurate, reliable, and clearly explained.</p>\n<p>Important:\nThere is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.</p>\n<h3>Responsibilities</h3><ul><li>Develop AI Training Content: Create detailed prompts and gold-standard answers across epidemiology, public health practice, policy, prevention, and risk communication topics.</li><li>Optimize AI Performance: Evaluate and rank AI responses to improve correctness, clarity, contextual relevance, and scientific rigor.</li><li>Ensure Model Integrity: Test AI outputs for inaccuracies, misleading evidence interpretation, unsafe recommendations, and bias; validate reliability across populations and settings.</li></ul><h3>Requirements</h3><ul><li>Bachelor’s degree (or higher) in Public Health (MPH preferred), Epidemiology, Biostatistics, Health Policy, Global Health, or a related field (or equivalent professional experience).</li><li>5+ years of professional experience in public health (government/public sector, NGOs, academia, healthcare systems, global health, consulting, or similar).</li><li>Confident in public health reasoning (problem framing, causal thinking, bias/confounding awareness, risk stratification, and prioritization).</li><li>Strong understanding of disease processes at the population level, prevention strategies, screening concepts, vaccination principles, and health behavior frameworks.</li><li>Excellent attention to detail when fact-checking and identifying unsafe assumptions, misleading causal claims, incorrect interpretation of statistics, or inappropriate recommendations; minimum C1 English proficiency.</li><li>Comfortable evaluating answers for internal consistency (denominators, rates vs risks, time horizons, surveillance definitions, and uncertainty).</li><li>Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.</li><li>Prior experience with AI data training/annotation, guideline work, systematic reviews, program evaluation, policy analysis, or editorial QA is strongly preferred.</li></ul>"}