Role Overview

Mercor is partnering with leading AI labs on

Project Atlas

— an initiative to build realistic enterprise environments that frontier AI agents are trained and evaluated in. We're seeking experienced public-health professionals from major federal agencies (CDC, NIH, HHS), large state / county health departments, and top R1 schools of public health to recreate the digital workspaces they run every day and design the tasks that genuinely challenge state-of-the-art AI. You'll bring your expertise in epidemiology, health policy, program management, or population health to build a high-fidelity environment that mirrors the tools, files, and cross-functional workflows of a major public-health organization — and then author tasks grounded in the programs you actually run today.

• *Key Responsibilities**

- Build a realistic digital workspace centered on the Drive folders you use day-to-day — the surveillance summaries, grant applications, program evaluations, health-assessment reports, policy briefs, outbreak write-ups, and email threads that reflect how you actually organize your work — with some representation of the platforms that support it (e.g., Esri ArcGIS, SAS or MATLAB, Socrata open-data portals) - Design multi-step tasks grounded in your real workflows that require navigating multiple apps, files, and stakeholders in a way that meaningfully challenges frontier AI agents - Collaborate with other public-health experts in your field to design the environment, shape task scope, and review each other's scenarios for realism and rigor - Work asynchronously with research teams to refine task designs and evaluation criteria for public-health agent benchmarks - Contribute to frontier AI research and benchmarking — the work you produce directly informs how leading labs train and evaluate the next generation of AI systems

• *Ideal Qualifications**

- 3+ years of full-time experience at a federal health agency, large state / county health department, major academic school of public health, or F500 population-health organization - Background in one or more areas such as: - Epidemiology, surveillance, outbreak investigation - Health policy, health-services research, or program evaluation - Population / community health program management - Grants administration, cooperative agreements, or federal reporting - Environmental health or occupational health - MPH / PhD / DrPH a plus; biostatistics or GIS fluency - Day-to-day use of Esri ArcGIS / Google Maps Platform, SAS / MATLAB, and Socrata / Esri ArcGIS Hub - Strong analytical thinking and writing — able to translate public-health workflows into structured task specs

• *Compensation Note**

-

Task Completion Pay:

Competitive and based on task quality (~$1,150 – $1,450 per completed task, subject to change as the project evolves) -

Performance Bonus:

Top performers receive a weekly bonus incentive on top of their per task rate! -

Hourly Opportunity:

Top performers may be invited to transition to an hourly compensation model based on sustained quality and throughput.