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AfterQuery

Cloud Engineer - AI Trainer

workfromhome, VA

Check who can apply and the requirements below before continuing.

About this opportunity

AfterQuery lists this Cloud Engineer - AI Trainer opportunity in workfromhome, Virginia. Review the employer’s description below for duties, qualifications and application requirements.

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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Worksite address

workfromhome, VA, 22070, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.

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