Cloud Computing Expert

Role Overview

Mercor is partnering with leading AI labs on Project Atlas — an initiative to build realistic enterprise environments that frontier AI agents are trained and evaluated in. We're seeking experienced cloud-computing professionals from major hyperscalers and Fortune 500 enterprises running large cloud deployments (e.g., AWS, Microsoft Azure, Google Cloud, Oracle Cloud, Snowflake, Databricks, and Fortune 500 platform / infrastructure teams) to recreate the digital workspaces they run every day and design the tasks that genuinely challenge state-of-the-art AI.

You'll bring your expertise in cloud architecture, site reliability, platform engineering, DevOps / DevSecOps, or cloud FinOps to build a high-fidelity environment that mirrors the tools, files, and cross-functional workflows of a modern cloud organization — and then author tasks grounded in the programs you actually run today.

Key Responsibilities

• Build a realistic digital workspace centered on the Drive folders you use day-to-day — the architecture docs, runbooks, RFCs, incident post-mortems, capacity plans, cost reports, SRE review decks, and email threads that reflect how you actually organize your work — with some representation of the platforms that support it (e.g., HashiCorp Terraform, Datadog / Splunk, GitHub Actions, Okta)

• Design multi-step tasks grounded in your real workflows that require navigating multiple apps, files, and stakeholders in a way that meaningfully challenges frontier AI agents

• Collaborate with other cloud-computing experts in your field to design the environment, shape task scope, and review each other's 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 — the work you produce directly informs how leading labs train and evaluate the next generation of AI systems

Ideal Qualifications

• 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 one or more areas such as:

  • Cloud architecture / solutions engineering (multi-account, multi-region, hybrid)

  • Site reliability engineering or production engineering

  • Platform / developer-experience engineering (IaC, internal developer platforms)

  • DevOps / DevSecOps, CI/CD, or container / Kubernetes operations

  • Cloud security, compliance (SOC 2, ISO 27001, FedRAMP), or cloud FinOps

• Certifications a plus: AWS Solutions Architect / SysOps / DevOps, Azure Solutions Architect, GCP Professional Cloud Architect, CKA / CKAD

• Day-to-day use of HashiCorp Terraform / Pulumi, Splunk / Datadog, GitHub Actions / CircleCI, and Okta / Microsoft Entra ID

• Strong analytical thinking and writing — able to translate cloud-ops workflows into structured task specs

Compensation Note

• 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 be invited to transition to an hourly compensation model based on sustained quality and throughput.