Public Health Expert

Key Responsibilities

• Create detailed prompts and gold-standard answers across epidemiology, public health practice, policy, prevention, and risk communication topics.
• Evaluate and rank AI responses to improve correctness, clarity, contextual relevance, and scientific rigor.
• Test AI outputs for inaccuracies, misleading evidence interpretation, unsafe recommendations, and bias; validate reliability across populations and settings.

Requirements

• Bachelor’s degree (or higher) in Public Health (MPH preferred), Epidemiology, Biostatistics, Health Policy, Global Health, or a related field (or equivalent professional experience).
• 5+ years of professional experience in public health (government/public sector, NGOs, academia, healthcare systems, global health, consulting, or similar).
• Confident in public health reasoning (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 and identifying unsafe assumptions, misleading causal claims, incorrect interpretation of statistics, or inappropriate recommendations; minimum C1 English proficiency.
• Comfortable evaluating answers for internal consistency (denominators, rates vs risks, time horizons, surveillance definitions, and uncertainty).
• 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, guideline work, systematic reviews, program evaluation, policy analysis, or editorial QA is strongly preferred.

Qualifications

Your profile should include a Bachelor’s degree (or higher) in Public Health (MPH preferred), Epidemiology, Biostatistics, Health Policy, Global Health, or a related field (or equivalent professional experience).

You should have 5+ years of professional experience in public health (government/public sector, NGOs, academia, healthcare systems, global health, consulting, or similar).

You should be confident in public health reasoning (problem framing, causal thinking, bias/confounding awareness, risk stratification, and prioritization).

You should have a strong understanding of disease processes at the population level, prevention strategies, screening concepts, vaccination principles, and health behavior frameworks.

You should have 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.

You should be comfortable evaluating answers for internal consistency (denominators, rates vs risks, time horizons, surveillance definitions, and uncertainty).

You should be 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, guideline work, systematic reviews, program evaluation, policy analysis, or editorial QA is strongly preferred.