Infrastructure Engineer

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 $2 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.

As an Infrastructure Engineer at Mercor, you’ll build and scale the systems that power our rapid growth. You’ll ensure our infrastructure is highly available, cost-effective, and able to handle explosive traffic and compute demands. You’ll work closely with engineers across product, research, and operations to design scalable architectures, streamline deployments, and improve observability.

• Designing and maintaining core infrastructure across cloud environments.

• Building Infrastructure-as-Code workflows to automate deployments and scaling.

• Improving monitoring, logging, and alerting systems to maintain reliability.

• Managing CI/CD pipelines (Github, Spacelift) to ensure seamless deployments.

• Supporting disaster recovery planning and ensuring high availability of systems.

• Partnering with product and research teams to design architectures that scale with workload demands.

• Identifying and fixing performance bottlenecks in compute, storage, and networking.
  

• Strong experience with cloud platforms (AWS).

• Proficiency with Infrastructure-as-Code tools (Terraform).

• Deep experience with containers and orchestration (Docker).

• Solid understanding of distributed architectures.

• Programming languages (Python, Go).

• Proven ability to ship reliable infrastructure in production environments.

• Growth mindset and eagerness to thrive in a hyper-growth, high-ownership environment.
  

• Impact: Your work powers how the world’s leading AI labs train and test their models.

• Learning: Get early insights into frontier model capabilities months before the market.

• Growth: Work on both infrastructure and research-adjacent projects with fast paths to ownership.