Cloud Engineer Expert

Job summary

Create realistic cloud infrastructure and automation scenarios, and write reference answers explaining the architectural reasoning behind decisions. Evaluate model outputs for correctness, security, and cost efficiency, and identify configurations that would fail or overspend in production.

Job details

Cloud engineers to build the infrastructure and automation scenarios frontier AI labs use to test model judgment. AfterQuery builds the expert evaluation data that frontier AI labs use to measure and improve their models. We're hiring cloud engineers as contractors to author and grade the infrastructure and automation scenarios those evaluations run on. What you'll actually do Author realistic cloud scenarios, from architecture design through incident responseWrite reference answers with the architectural reasoning behind each decisionGrade model output for correctness, security, and cost efficiencyFlag configurations that read plausible but would fail or overspend in production Who this is for Engineers with at least 2 years of cloud engineering on AWS, Azure, or GCPPractitioners with hands on infrastructure as code experience such as Terraform or CloudFormationEngineers with depth in at least one area such as networking, containers, serverless, or cost optimizationClear writers who can document the reasoning behind an architectural decision Contract and pay $85 to $165/hr, paid weekly via Stripe. Your rate is set from your experience, not negotiated down after you start.Fully remote, fully async. No fixed hours.Minimum 10 hours per week, no maximum. Scale up or down week to week.No screen recording, no keystroke monitoring, no idle timers.Independent contractor. Ongoing project work rather than single task batches. How our hiring process works Apply at /apply/cloud-engineer-expert. About five minutes. Resume plus a few structured questions.Resume review. Every application gets read against a published rubric and gets a decision.Written assessment. You may be asked to take a written assessment for further placement.Onboarding. Sign the contractor agreement, connect Stripe, and get platform access.Project match. You're matched to live work in your specialty, usually within a week of onboarding. About AfterQuery AfterQuery is an expert data lab. We build the evaluation and training data that frontier AI labs use to measure what their models can and can't do in real professional work. Our contributors are practicing professionals, not annotators, and the work is credited, reviewed, and paid at professional rates. Responsibilities Author realistic cloud scenarios from architecture design through incident response Write reference answers with the architectural reasoning behind each decision Grade model output for correctness, security, and cost efficiency Flag configurations that read plausible but would fail or overspend in production Required Qualifications 2+ years of professional cloud engineering experience on AWS, Azure, or GCP Hands on infrastructure as code experience with Terraform, CloudFormation, or similar Depth in at least one area such as networking, containers, serverless, or cost optimization Clear written English for documenting architecture and operational reasoning Able to commit at least 10 hours per week Preferred Qualifications Certifications such as AWS Solutions Architect, Azure Administrator, or GCP Professional Kubernetes and container orchestration experience Multi cloud or large scale migration experience Why apply $85 to $165/hr, paid weekly via Stripe 100% remote and fully async Shape how frontier models reason about cloud infrastructure Ongoing project work with hours you set each week

What you’ll do

Create realistic cloud infrastructure and automation scenarios, and write reference answers explaining the architectural reasoning behind decisions. Evaluate model outputs for correctness, security, and cost efficiency, and identify configurations that would fail or overspend in production.

Requirements

Applicants need at least two years of professional cloud engineering experience with AWS, Azure, or Google Cloud, plus hands-on infrastructure-as-code experience. They must have depth in at least one cloud specialty, write clearly in English, and be able to commit at least 10 hours per week.

Listed skills

• Microsoft Azure · Preferred
• Kubernetes · Preferred
• Amazon Web Services · Preferred
• Terraform · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Cloud Engineering
• AWS
• Azure
• Google Cloud Platform
• Infrastructure as Code
• Terraform
• CloudFormation
• Cloud Architecture
• Incident Response
• Networking
• Containers
• Serverless
• Cost Optimization
• Kubernetes
• Technical Writing
• Model Evaluation

Job areas

• Technology
• Software
• Engineering
• Data & Analytics