Join a groundbreaking initiative to create realistic enterprise environments for training and evaluating frontier AI agents. As a public health expert, you will leverage your experience from major federal agencies, large state or county health departments, or top academic institutions to design a high-fidelity digital workspace that reflects the daily operations of a public health organization. Your expertise in epidemiology, health policy, program management, or population health will be crucial in crafting tasks that challenge state-of-the-art AI.

• Build a realistic digital workspace based on the tools and files you use daily, including surveillance summaries, grant applications, program evaluations, health-assessment reports, policy briefs, outbreak write-ups, and relevant email threads.
• Design multi-step tasks that mirror your real workflows, requiring navigation through multiple applications, files, and stakeholder interactions to effectively challenge frontier AI agents.
• Collaborate with fellow public health experts to design the environment, shape task scope, and review scenarios for realism and rigor.
• Work asynchronously with research teams to refine task designs and establish evaluation criteria for public health agent benchmarks.
• Contribute to cutting-edge AI research and benchmarking, with your work directly influencing how leading labs train and evaluate the next generation of AI systems.

• 3+ years of full-time experience at a federal health agency, large state or county health department, major academic school of public health, or Fortune 500 population health organization.
• Expertise in areas such as epidemiology, surveillance, outbreak investigation, health policy, health services research, program evaluation, population/community health program management, grants administration, or environmental/occupational health.
• Advanced degrees (MPH, PhD, DrPH) are a plus; proficiency in biostatistics or GIS is beneficial.
• Familiarity with tools such as Esri ArcGIS, Google Maps Platform, SAS, MATLAB, and Socrata.
• Strong analytical thinking and writing skills, with the ability to translate public health workflows into structured task specifications.

• Task Completion Pay: Competitive compensation based on task quality, approximately $900, $1, 250 per completed task, subject to change as the project evolves.
• Performance Bonus: Top performers will receive a weekly bonus incentive in addition to their per task rate.
• Hourly Opportunity: High-performing individuals may be invited to transition to an hourly compensation model based on sustained quality and throughput.