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 sustai