
Mercor
Mercor builds an expert-powered platform that trains, evaluates, and deploys AI systems for AI labs and enterprises. It operates APEX to assess model performance on economically valuable tasks, and provides services such as custom AI agents and teams of vetted domain experts who encode organizational knowledge into AI. Founded in 2023 and headquartered in San Francisco, it is privately held and works with frontier AI labs and enterprise clients requiring strict data isolation.
Open Positions at Mercor
24 open positions
Build automation agents and workflows that power Mercor’s large-scale expert data production businesses. You’ll own systems spanning sourcing, staffing, incentives, experimentation, and revenue operations.
Mercor is hiring a Senior Software Engineer to build an automation platform that powers AI-driven expert sourcing, staffing, incentives, and large-scale data production. The role offers substantial ownership in a fast-paced, high-growth environment.
Research Engineer Intern building benchmarking pipelines, LLM evaluation systems, rubrics, and failure-analysis workflows that improve frontier language models. The role combines hands-on engineering with applied AI research in an in-person, high-ownership environment.
Research Engineer Intern working on post-training, reinforcement learning, synthetic data, and large-scale evaluation systems for frontier language models. The role combines applied AI research with hands-on engineering in a high-ownership environment.
Build and operate the GPU and accelerator infrastructure powering large-scale AI training and inference. You’ll own clusters, schedulers, serving platforms, observability, reliability, and cost optimization while writing production code every day.
Build and operate high-throughput backend services that power Mercor’s Applied AI platform, including APIs, data pipelines, workflow systems, and infrastructure. This end-to-end role emphasizes backend fundamentals, reliability, observability, and ownership of production systems.
Build and scale Mercor’s cloud infrastructure to support rapid growth, high availability, and demanding compute workloads. This in-person Infrastructure Engineer role spans platform, developer productivity, and database engineering.
Build and operate applied AI systems that connect frontier research with data delivery, including scalable pipelines, synthetic data generation, and model evaluation infrastructure. This high-ownership role combines deep backend engineering with direct collaboration with customers and leading AI labs.
Build and scale agentic products at Mercor, developing LLM agents, evaluation systems, orchestration pipelines, and full-stack tools used to advance frontier AI. You’ll be team-matched to either a business-impact-focused Automation team or a research-adjacent Studio team.
Build and own Mercor’s enterprise agent platform, spanning secure infrastructure, deployment, orchestration, and high-scale production systems. This hands-on platform role shapes how enterprise agents are built and operated across hosted, customer, and multi-cloud environments.
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