
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
35 open positions
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.
Own application security at Mercor by embedding security into the development lifecycle, building automated defenses, and driving vulnerability remediation across a large AI data platform. This hands-on role spans code review, security tooling, threat modeling, and bug bounty operations.
Own Mercor’s internal cloud and identity platform as code, building secure, automated infrastructure across Okta, Terraform, and multiple cloud providers. This San Francisco-based role combines platform architecture, IAM, provisioning automation, and operational ownership.
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 core backend platform systems for contracts, payouts, fraud, and identity and access at Mercor, an AI data company shaping how human expertise powers frontier models. You’ll own foundational services that make the platform secure, reliable, and scalable.
Build and own the backend services and agent infrastructure powering Mercor’s talent workflows at production scale. You’ll develop orchestration, tool interfaces, evaluation, guardrails, and auditable human-in-the-loop systems alongside product, operations, and AI researchers.
Build backend-heavy, full-stack assessment systems that evaluate and match talent for Mercor’s AI platform. You’ll own features end-to-end, from product discovery and technical design through launch, while improving candidate and expert experiences at scale.
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 the backend orchestration systems that coordinate human experts, model inference, and automated workflows for frontier AI data products. You’ll shape the architecture of long-running, stateful systems whose outputs directly serve customers.
Build the backend systems that power Mercor’s AI talent marketplace, including search, matching, allocation, and workflow infrastructure. This role focuses on high-throughput, reliable systems that connect experts with AI opportunities.
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