Government Administrative Services Manager - Remote

Overview

Mercor is seeking experienced government administrative services managers to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems. This engagement focuses on diagnosing and solving real issues in public sector administrative operations through hands-on scenario creation and validation. It's an opportunity to contribute your expertise to cutting-edge AI research while working independently and remotely on your own schedule.

In Short

• Write tasks and scenarios that reflect real-world government administrative services management work based on your professional experience
• Create realistic situations involving public facility management, municipal budget oversight, government procurement processes, and public policy implementation
• Develop scenarios for coordinating government departmental operations, managing public sector staff, and ensuring regulatory compliance
• Review and evaluate AI responses to government administrative queries for accuracy and professionalism
• Provide detailed feedback on public sector management scenarios to improve AI training

Requirements

• 4+ years professional experience in government administrative services
• Demonstrated professional recognition and management responsibilities
• Proficient with using computers and navigating various software systems
• Excellent written communication with strong grammar and spelling skills
• Pass video interview, background check, training, and qualification quiz
• Average 14 years experience preferred

Benefits

• Fully remote and asynchronous — complete work on your own schedule
• Expected workload: 20+ hours per week, with flexibility to scale up to 40 hours
• Project start date: immediately, lasting for around 6 weeks
• Independent contractor engagement through Mercor
• Hourly compensation, paid weekly via Stripe Connect
• Payments based on services rendered; contractors maintain full control over their work schedule and methods