AI Summary
Design and build realistic digital workspaces for AI research labs, leveraging expertise in cloud computing, architecture, and DevOps. Collaborate with research teams to refine task designs and evaluation criteria. Contribute to frontier AI research and benchmarking.
Key Highlights
Design and build realistic digital workspaces for AI research labs
Collaborate with research teams to refine task designs and evaluation criteria
Contribute to frontier AI research and benchmarking
Key Responsibilities
Build a realistic digital workspace centered on the Drive folders you use daily
Represent platforms like HashiCorp Terraform, Datadog/Splunk, GitHub Actions, and Okta
Design multi-step tasks grounded in your real workflows
Collaborate with other cloud-computing experts to design environments, shape task scope, and review scenarios for realism and rigor
Work asynchronously with research teams to refine task designs and evaluation criteria for cloud-computing agent benchmarks
Technical Skills Required
Job Description
About The Job
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.
Position: Cloud Computing Expert
Type: Contract
Compensation: $55–$75/hour
Location: Remote
Role Responsibilities
- Build a realistic digital workspace centered on the Drive folders you use daily. Include architecture docs, runbooks, RFCs, incident post-mortems, capacity plans, cost reports, SRE review decks, and email threads. Represent platforms like HashiCorp Terraform, Datadog/Splunk, GitHub Actions, and Okta.
- Design multi-step tasks grounded in your real workflows. Require navigation of multiple apps, files, and stakeholders to challenge frontier AI agents.
- Collaborate with other cloud-computing experts to design environments, shape task scope, and review scenarios for realism and rigor.
- Work asynchronously with research teams to refine task designs and evaluation criteria for cloud-computing agent benchmarks.
- Contribute to frontier AI research and benchmarking. Your work directly informs how leading labs train and evaluate the next generation of AI systems.
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Must-Have
- 3+ years of full-time experience at a major hyperscaler (AWS, Azure, GCP, Oracle Cloud), a cloud-data platform (Snowflake, Databricks), or a Fortune 500 platform/infrastructure team.
- Background in cloud architecture, site reliability engineering, platform engineering, DevOps/DevSecOps, or cloud FinOps.
- Day-to-day use of HashiCorp Terraform/Pulumi, Splunk/Datadog, GitHub Actions/CircleCI, and Okta/Microsoft Entra ID.
- Strong analytical thinking and writing skills.
- Certifications: AWS Solutions Architect/SysOps/DevOps, Azure Solutions Architect, GCP Professional Cloud Architect, CKA/CKAD.
- Hourly contractor transitioning to compensation based on throughput of quality work.
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- Upload resume
- AI interview based on your resume
- Submit form
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
- For any help or support, reach out to: support@mercor.com
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