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Data Engineer - AI Trainer

AfterQuery Experts Missoula, MT 🇺🇸 Remote

Missoula, MT

Today

$60 - $80/hr Contract Artificial Intelligence Aws Data Engineer Azure Data Engineer

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Job Description

This remote, project-based Data Engineer role supports AfterQuery, a research lab investigating the boundaries of artificial intelligence. The engagement is expected to run for 2 to 3 weeks with approximately 10 to 20 hours per week, combining hands-on engineering work with clear delivery expectations.

Role Overview

As a Data Engineer - AI Trainer, you will design, implement, debug, and maintain software that supports research-driven experimentation. Work spans varied stacks, with emphasis on clean implementation, performance-minded improvements, and reproducible documentation.

Responsibilities

Design, implement, and ship clean, well-tested code across a variety of projects and technology stacks
Debug, refactor, and optimize existing codebases with a focus on performance, maintainability, and scalability
Participate in code reviews by providing and incorporating constructive technical feedback
Collaborate asynchronously on technical specifications, architecture decisions, and implementation plans
Document code, APIs, and technical approaches clearly so results can be reproduced

Requirements

1 to 3 years of professional software engineering experience in a full-time or equivalent role
Strong proficiency in at least one modern programming language and its ecosystem
Proven ability to scope, implement, and deliver software features or fixes independently
Solid fundamentals across data structures, algorithms, and system design
Bachelor’s degree or higher in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience)

Technologies

Git
GitHub Actions
AWS
GCP
Azure

Work Details

Location: Missoula, MT (remote)
Job type: Contract
Expected time commitment: 10 to 20 hours per week for 2 to 3 weeks
Compensation: USD 60 to 80 per hour

Benefits

Exceptional pay
Exposure to real-world engineering problems
A strong addition to your professional portfolio
Flexible time commitment, with the ability to work on your schedule
Startup exposure working with an early-stage Y Combinator-backed company
Portfolio building through experience solving complex, real-world engineering problems across diverse codebases
Professional growth through varied, challenging development tasks spanning multiple domains and technologies

Preferred Qualifications

Experience across multiple stack layers, such as frontend, backend, APIs, or infrastructure
Familiarity with version control workflows, CI/CD pipelines, and collaborative development practices (for example, Git and GitHub Actions)
Exposure to cloud platforms and deployment environments (for example, AWS, GCP, Azure)
Background contributing to open source projects or building personal software projects independently

Why Apply

Flexible time commitment to tackle meaningful engineering challenges on your schedule
Startup exposure working with an early-stage Y Combinator-backed company
Portfolio building through complex, real-world engineering across diverse codebases
Professional growth across varied development tasks and multiple domains

About AfterQuery

AfterQuery is a research lab investigating the boundaries of artificial intelligence through novel datasets and experimentation. The organization is backed by top investors, including Y Combinator and Box Group, and supports all leading AI labs.

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