Skip to main content
Tallo logoTallo logo
Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Apply Offsite

Cloud Infrastructure Expert - AI Trainer

Job

Mercor

Remote

Part-Time

Posted 4 days ago (Updated 13 hours ago) • Actively hiring

Expires 7/23/2026

Review key factors to help you decide if the role fits your goals.
How is this calculated?
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
100
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

Cloud Infrastructure Expert - AI Trainer Mercor - 3.9 Chicago, IL Job Details Part-time $1,750 - $2,150 a day 3 hours ago Qualifications Databricks Okta Infrastructure as Code (IaC) Writing skills GitHub Actions Research Terraform Splunk Azure AD CircleCI Cloud automation DevOps automation Datadog Full 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:
PS:
Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. #hiringmercor