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 per completed task Location: Remote
Role Responsibilities
- Build a realistic digital workspace using architecture docs , runbooks , RFCs , and other tools like HashiCorp Terraform , Datadog , Splunk , and GitHub Actions .
- 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.
- Work asynchronously with research teams to refine task designs and evaluation criteria for cloud-computing agent benchmarks.
- Contribute to frontier AI research and benchmarking by informing how leading labs train and evaluate AI systems.
Qualifications
Must-Have
- 3+ years of experience at a major hyperscaler or Fortune 500 platform/infrastructure team .
- Background in cloud architecture , site reliability engineering , DevOps , or cloud FinOps .
- Day-to-day use of HashiCorp Terraform , Splunk , Datadog , GitHub Actions , and Okta .
- Strong analytical thinking and writing skills.
Preferred
- Certifications such as AWS Solutions Architect , Azure Solutions Architect , GCP Professional Cloud Architect , CKA , or CKAD .
Compensation & Legal
- Task Completion Pay: Competitive and based on task quality.
- Performance Bonus: Weekly bonus incentive for top performers.
- Hourly Opportunity: Potential transition to hourly compensation for sustained quality.
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.
Originally posted on Himalayas