[Hiring] Health Policy Specialist - AI Trainer @Mercor

Role Description

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Public Health Expert

Type: Contract

Compensation: $1,150–$1,450 per completed task

Location: Remote

Role Responsibilities

• Build a realistic digital workspace centered on the Drive folders you use daily, including:
  • Surveillance summaries
  • Grant applications
  • Program evaluations
  • Health-assessment reports
  • Policy briefs
  • Outbreak write-ups
  • Email threads
• Represent platforms like Esri ArcGIS, SAS, MATLAB, and Socrata.
• Design multi-step tasks grounded in real workflows, requiring navigation of multiple apps, files, and stakeholders to challenge frontier AI agents.
• Collaborate with other public-health experts to:
  • Design the environment
  • Shape task scope
  • Review 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, directly informing how leading labs train and evaluate the next generation of AI systems.

Qualifications

• Must-Have:
  • 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 epidemiology, health policy, program management, or population health.
  • Day-to-day use of Esri ArcGIS, Google Maps Platform, SAS, MATLAB, and Socrata.
  • Strong analytical thinking and writing skills.
• Preferred:
  • MPH, PhD, or DrPH.
  • Fluency in biostatistics or GIS.

Requirements

• Task Completion Pay: Competitive and based on task quality (~$1,150–$1,450 per completed task).
• Performance Bonus: Weekly bonus incentive for top performers.
• Hourly Opportunity: Potential transition to hourly compensation based on sustained quality and throughput.

Application Process

• Upload resume
• AI interview based on your resume
• Submit form

Resources & Support

• For details about the interview process and platform information, please check: Interview Process
• For any help or support, reach out to: [email protected]
• Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.