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 education-technology professionals from Fortune 500 ed-tech companies, large R1 universities, and major K-12 districts 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 LMS administration, educational-product design, learning analytics, or district-wide ed-tech operations to build a high-fidelity environment that mirrors the tools, files, and workflows of modern ed-tech practice — 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 product specs, learning-design docs, assessment rubrics, engagement reports, integration plans, PD materials, and email threads that reflect how you actually organize your work — with some representation of the platforms that support it (e.g., Google Classroom, PowerSchool, Google Forms) - 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 education-technology 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 ed-tech 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 Fortune 500 ed-tech company, R1 university, or major K-12 district / state-level education agency - Background in one or more areas such as : - LMS administration and ed-tech integration - Educational product management, learning engineering, or instructional design - Learning analytics, assessment design, or adaptive-learning platforms - District-level ed-tech leadership - Compliance with student-data regulations (FERPA, COPPA) and accessibility (WCAG, Section 508) - Day-to-day use of Google Classroom, PowerSchool or Infinite Campus, and Google Forms - Strong analytical thinking and writing — able to translate ed-tech workflows into structured task specs Compensation Note This project is expected to begin on an effective hourly rate, but will transition to a model where experts are compensated based on throughput of quality work rather than a flat accruing hourly rate. About Mercor Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. Backed by investors including Benchmark, General Catalyst, Adam D'Angelo, and Jack Dorsey. Thousands of professionals across domains contribute to projects shaping the next generation of AI systems.