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Cloud Computing Architect - AI Integration

  • Source: LinkedIn
  • Mercor
  • Remote
  • New York City
  • Mid level

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: $1,750–$2,150/task Location: Remote Role Responsibilities

  • Build a realistic digital workspace using HashiCorp Terraform, Datadog, Splunk, GitHub Actions, and Okta. Reflect real-world architecture docs, runbooks, and incident post-mortems.
  • Design multi-step tasks that challenge frontier AI agents by navigating multiple apps and stakeholders.
  • Collaborate with cloud-computing experts to design environments 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 informs how leading labs train and evaluate AI systems.

Qualifications 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.

Preferred

  • Certifications: AWS Solutions Architect, Azure Solutions Architect, GCP Professional Cloud Architect, CKA/CKAD.

Compensation & Legal

  • Task Completion Pay: Competitive and based on task quality (:$1,750–$2,150 per completed task, subject to change as the project evolves).
  • Performance Bonus: Top performers receive a weekly bonus incentive on top of their per task rate.
  • Hourly Opportunity: Top performers may transition to an hourly compensation model based on sustained quality and throughput.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • 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: [email protected]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Skills

  • benchmark
  • catalyst
  • workspace
  • hashicorp
  • Terraform
  • datadog
  • splunk
  • Github
  • github-actions
  • okta
  • amazon-web-services
  • microsoft-azure
  • google-cloud-platform
  • oracle
  • Snowflake
  • azure-databricks
  • databricks
  • pulumi
  • circleci
  • microsoft-entra-id
  • azure-arc
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