Cloud Engineer - AI Trainer

AfterQuery

Portland (OR)

Remote

USD 117,000 - 227,000

Part time

39 hours ago
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Benefits offered by this job

Remote work

Job summary

AfterQuery is seeking cloud engineers as contractors to author and grade the infrastructure and automation scenarios used to test model judgment. This is a fully remote, async role with no fixed hours and a minimum of 10 hours per week.

You will design cloud scenarios across AWS, Azure or GCP, write reference answers explaining architectural reasoning, and evaluate model outputs for correctness, security, and cost efficiency. Compensation ranges $85 to $165 per hour, paid weekly via Stripe.

Qualifications

  • 2+ years of professional cloud engineering experience on AWS, Azure, or GCP.
  • Hands-on infrastructure as code experience with Terraform or CloudFormation.
  • Depth in networking, containers, serverless, or cost optimization.
  • Clear written English for documenting architecture and operational reasoning.
  • Able to commit at least 10 hours per week.

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 would fail or overspend in production.

Skills

Cloud engineering
IaC (Terraform/CloudFormation)
Written English
Remote work

Tools

Terraform
CloudFormation
Kubernetes

Job description

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 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

Who this is for

  • Engineers with at least 2 years of cloud engineering on AWS, Azure, or GCP
  • Practitioners with hands on infrastructure as code experience such as Terraform or CloudFormation
  • Engineers with depth in at least one area such as networking, containers, serverless, or cost optimization
  • Clear 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.
  • Independent contractor. Ongoing project work rather than single task batches.

How our hiring process works

  • 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.

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
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
About AfterQuery

AfterQuery is a research lab investigating the boundaries of artificial intelligence through novel datasets and experimentation. We believe great AI comes from exceptional, human-generated data.

We're backed by top investors, including Y Combinator and Box Group, and support all leading AI labs.

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