Public Health Expert – Epidemiology, Population Health & AI Evaluation

HOT | Remote | Independent Contractor | Interview Required

Compensation: Up to $70/hour
Estimated annualized equivalent: Up to $134,400/year
Based on 40 hours per week for 48 working weeks. This is an illustrative equivalent, not guaranteed annual compensation. Actual earnings depend on project availability, approved work, and hours completed.

Eligible Locations: Bangladesh, Bhutan, Brazil, Cambodia, Germany, India, Indonesia, Malaysia, Nepal, Pakistan, Singapore, Sri Lanka, Thailand, Philippines, United States, Timor-Leste, and Vietnam.

Interview Language: English

About the Opportunity

Are you an experienced public health professional interested in improving the quality and reliability of artificial intelligence? This remote contractor opportunity allows you to apply your expertise in epidemiology, population health, health policy, and disease prevention to AI training and evaluation.

As a Public Health Subject Matter Expert, you will review AI-generated public health responses and develop expert-level content that demonstrates rigorous analytical thinking, accurate interpretation of evidence, and effective health communication. You will evaluate the quality of public health reasoning, identify factual and methodological errors, and provide structured feedback to help improve AI-generated guidance.

Project availability notice: There is no immediate project assignment for this role. Qualified experts may be contacted when relevant opportunities become available and considered for future projects through the expert network.

Key Responsibilities

• Develop AI training content: Create detailed prompts and gold-standard answers covering epidemiology, public health practice, prevention, health policy, and risk communication.

• Evaluate AI-generated responses: Compare and rank outputs based on scientific accuracy, analytical quality, clarity, and relevance to the question.

• Assess epidemiological reasoning: Review causal claims, potential bias and confounding, risk stratification, and the interpretation of population-level health data.

• Verify public health evidence: Fact-check statistics, research findings, disease surveillance information, and claims about health interventions.

• Evaluate study interpretation: Identify errors involving denominators, rates versus risks, time horizons, uncertainty, and the interpretation of epidemiological findings.

• Review public health recommendations: Assess whether recommendations are evidence-based, contextually appropriate, and safe for the populations and settings concerned.

• Identify misleading conclusions: Flag unsupported causal claims, inaccurate statistical interpretations, inappropriate recommendations, and potential bias.

• Improve AI reliability: Provide precise written feedback to strengthen the accuracy, consistency, and scientific rigor of AI-generated public health information.

Required Qualifications

• A bachelor's degree or higher in Public Health, Epidemiology, Biostatistics, Health Policy, Global Health, or a related field, or equivalent professional experience. A Master of Public Health (MPH) is preferred.

• At least five years of professional public health experience in government, the public sector, NGOs, academia, healthcare systems, global health, consulting, or a related environment.

• Strong public health analytical skills, including problem framing, causal reasoning, awareness of bias and confounding, risk stratification, and prioritization.

• Understanding of population-level disease processes, prevention strategies, screening concepts, vaccination principles, and health behavior frameworks.

• Exceptional attention to detail when checking facts, evaluating evidence, and identifying unsafe assumptions or misleading conclusions.

• English proficiency at a minimum C1 level.

• Ability to evaluate internal consistency in public health analyses, including surveillance definitions, denominators, rates, risks, time horizons, and uncertainty.

• Ability to work independently and maintain consistent quality in a remote contractor environment across time zones.

Preferred Experience

• AI data training, annotation, or AI response evaluation.

• Public health guideline development or evidence synthesis.

• Systematic reviews and research interpretation.

• Public health program evaluation and impact assessment.

• Health policy analysis.

• Scientific writing, editorial quality assurance, or evidence-based content review.

Core Skills and Expertise

Epidemiology, biostatistics, disease surveillance, outbreak investigation, population health, health equity, program evaluation, evidence-based public health, health policy, risk communication, health systems, disease prevention, scientific reasoning, research interpretation, and English-language communication.

Work Arrangement and Compensation

• Work arrangement: Remote, independent contractor.

• Compensation: Up to $70 per hour.

• Schedule: Flexible, subject to project requirements and availability.

• Payment: Weekly payment for approved work, according to applicable project terms.

• Interview: Required; conducted in English.

• Availability: No immediate project is available. Qualified candidates may be considered for future assignments through the expert network.

The estimated annualized equivalent of up to $134,400 assumes 1,920 working hours per year. It is not a guaranteed salary or a promise of continuous project work.

Why Consider This Opportunity?

Apply your public health expertise to the development of AI systems that interpret health evidence, reason about population-level risks, and communicate public health information. Your contribution can help improve the scientific accuracy, clarity, and reliability of AI-generated public health content across diverse populations and settings.

Application Process

Qualified public health professionals can apply to be considered for the expert network. An interview is required, and suitable candidates may be contacted when relevant projects become available.