Software Engineering Expert - AI Trainer

This is a remote, project-based role for software engineers with 1–3 years of professional experience. You will complete tasks spanning software development, debugging, code review, and technical implementation across a variety of stacks and applications. Work is over the next 2–3 weeks, asynchronous, and assigned on a project-by-project basis, with an expected commitment of 10–20 hours per week for the projects you accept. This position offers exceptional pay, exposure to real-world engineering problems, and a strong addition to your professional portfolio.

Why Apply

Flexible Time Commitment – Work on your schedule while tackling meaningful engineering challenges

Startup Exposure – Work directly with an early-stage Y Combinator-backed company, gaining hands-on experience that sets you apart

Portfolio Building – Gain experience solving complex, real-world software engineering problems across diverse codebases

Professional Growth – Sharpen your skills on varied, challenging development tasks spanning multiple domains and technologies

Responsibilities

Design, implement, and ship clean, well-tested code across a variety of projects and technology stacks

Debug, refactor, and optimize existing codebases for performance, maintainability, and scalability

Participate in code reviews, providing and incorporating constructive technical feedback

Collaborate asynchronously on technical specifications, architecture decisions, and implementation plans

Document code, APIs, and technical approaches clearly and reproducibly

Required Qualifications

1–3 years of professional software engineering experience in a full-time or equivalent role

Strong proficiency in at least one modern programming language and its associated ecosystem

Demonstrated ability to independently scope, implement, and deliver software features or fixes

Solid understanding of software engineering fundamentals including 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)

Preferred Qualifications

Experience working across multiple layers of the stack — frontend, backend, APIs, or infrastructure

Familiarity with version control workflows, CI/CD pipelines, and collaborative development practices (e.g., Git, GitHub Actions, or similar)

Exposure to cloud platforms and deployment environments (e.g., AWS, GCP, Azure, or similar)

Background in contributing to open source projects or building personal software projects independently

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.

Apply today to contribute to pushing the frontier of AI.

Apply here: https://experts.afterquery.com/apply/software-engineer-general