Cloud Infrastructure Expert - AI Trainer

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: support@mercor.com

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