Cloud Infrastructure Expert - AI Trainer

$1,750 - $2,150 per month

Mercor

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)

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Resources & Support

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

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Vacancy posted 24 days ago

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