
location_onFirst Drive West, San Francisco, California, 94129, United States
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
As a Cloud Computing Expert, you will build realistic digital workspaces centered on the Drive folders you use daily. Your environment will include architecture docs, runbooks, RFCs, incident post-mortems, capacity plans, cost reports, SRE review decks, and email threads, representing platforms like HashiCorp Terraform, Datadog/Splunk, GitHub Actions, and Okta.
You will design multi-step tasks grounded in real workflows, requiring navigation of multiple apps, files, and stakeholders to challenge frontier AI agents. This role involves collaborating with other cloud-computing experts to design environments, shape task scope, and review scenarios for realism and rigor. You will work asynchronously with research teams to refine task designs and evaluation criteria for cloud-computing agent benchmarks, directly contributing to frontier AI research and informing how leading labs train and evaluate the next generation of AI systems.
The application process takes approximately 20–30 minutes to complete and consists of the following steps:
Our team reviews applications daily. Please ensure you complete all AI interview and application steps to be considered for this opportunity.
For details about the interview process and platform information, please visit: talent.docs.mercor.com For any help or support, reach out to: support@mercor.com
Work model: Remote
First Drive West, San Francisco, California, 94129, United States
San Francisco, California
Certifications in AWS Solutions Architect, AWS SysOps, AWS DevOps, Azure Solutions Architect, GCP Professional Cloud Architect, CKA, or CKAD.
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