Health Policy & Management

The work

Help train AI to provide evidence supported health information and policy analysis. Challenge its understanding of population health, biostatistics and equity while checking consistency with scientific consensus and ethical guidance. No AI background is required.

• Design advanced scenarios involving outbreaks, health equity and statistical interpretation of clinical trials.
• Write rigorous reference responses combining peer reviewed research, epidemiological data and public health guidance such as CDC or WHO standards.
• Audit generated advice and policy recommendations for correctness, bias and ethical consistency.
• Identify misinformation and gaps in health related reasoning.
• Provide structured feedback on correlation, causation and communication of risk to different populations.

Experience and skills

• A Master of Public Health, Master of Science in Public Health or a closely related graduate qualification is required.
• Strong knowledge in at least two of epidemiology, biostatistics, environmental health and health policy.
• Ability to turn complex data into clear, practical and culturally sensitive written information.
• Precision when reviewing statistical significance, citations and the reasoning behind interventions.
• Previous annotation, data quality or evaluation experience is helpful.
• R, SAS or Stata experience is preferred.
• Health communication, clinical research coordination or public health monitoring experience is useful.

Working arrangements

The hourly contract pays $35 to $55 and is fully remote, with a flexible commitment of 10 to 40 hours weekly. Further contract renewals may become available.

The application process is estimated at 15 to 20 minutes and includes a resume, short screening and AI interview before project matching and onboarding. Applications are reviewed daily.