Health Policy & Management AI Data Trainer

About the Role

Contribute your public health expertise to enhance AI systems that deliver health information to millions. This role invites Masters in Public Health graduates to apply their knowledge in epidemiology, health policy, biostatistics, and global health equity by directly interacting with advanced AI models. Your specialized insights will play a vital role ensuring the accuracy and reliability of AI-driven health content.

Key Responsibilities

• Create sophisticated public health scenarios including disease outbreak simulations and health equity evaluations.
• Develop authoritative and evidence-based responses synthesizing peer-reviewed studies, epidemiological data, and current health guidelines.
• Assess AI-generated health recommendations for correctness, bias, logical coherence, and ethical compliance.
• Offer structured critiques to help refine AI reasoning especially in distinguishing correlation and causation and effectively communicating health risks.
• Detect and flag inaccuracies or misleading information in AI health outputs prior to public release.

Candidate Profile

• Holds a Masters in Public Health or a related graduate degree.
• Strong expertise in at least two areas among Epidemiology, Biostatistics, Environmental Health, or Health Policy.
• Ability to translate complex health information into clear, culturally aware, and actionable written content.
• High attention to detail in evaluating statistical significance, data citations, and health intervention logic.
• Self-driven and comfortable with independent, asynchronous work.
• Previous AI experience is not mandatory; the focus is on public health proficiency.

Preferred Qualifications

• Experience in data annotation, quality assessment, or systematic review.
• Familiarity with analytic software such as R, SAS, or Stata.
• Background in health communication, clinical research coordination, or public health surveillance.

Benefits and Work Conditions

• Opportunity to influence AI handling of critical health information.
• 100% remote work with flexible scheduling.
• Collaboration with cutting-edge AI research teams.
• Freelance structure granting autonomy and diverse project experiences.
• Possibility for contract renewal based on performance.