
Mercor · San Francisco, United States, US · 10 days ago
Mercor's mission is to organize human intelligence to power the AI economy. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $3 million a day.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
We're building the infrastructure that powers one of the world's largest expert networks and delivers expert data at unprecedented scale.
We're looking for exceptional engineering leaders to help us scale both our expert marketplace and the underlying platform infrastructure that powers it.
We value builders who have repeatedly chosen difficult problems, thrived in environments with high expectations and can point to concrete examples where their leadership materially changed the trajectory of a team, product, or company.
We're still early.
The problems are genuinely hard, largely unsolved, and increasingly important to the future of AI. You'll have a direct hand in shaping both the systems we build and the teams that build them.
In either case, you'll be responsible for building products and systems that sit at the center of the AI ecosystem and help the world's leading AI organizations access expert knowledge at scale.
The next generation of AI will be built on expert knowledge.
Mercor sits at the center of that transformation, connecting the world's expertise with the world's most advanced AI systems. This is an opportunity to join early, work on problems that don't yet have established playbooks, and help build the infrastructure powering the future of AI.
Headquarters
San Francisco, United States
Work Location
on-site
Job Category
IT - Network / Systems / DB Admin
Application Deadline
Not specified
Job Type
full-time
Experience Level
manager-level
Application Method
Apply via Website
Salary
Not specified
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