Data Engineer - AI Trainer

Contract, remote, project-based engineering work with exceptional pay and meaningful real-world problems. You will contribute clean, reliable software to varied codebases while building a strong line for your professional portfolio through short-term, asynchronous projects over the next 2–3 weeks. Expected commitment is 10–20 hours per week per accepted project, with work done on your schedule.

AfterQuery Experts is an AI research lab exploring the boundaries of artificial intelligence through novel datasets and experimentation. The team is supported by top investors, including Y Combinator and Box Group, and collaborates with and supports leading AI labs.

What you’ll do

• Design, implement, and ship clean, well-tested code across multiple projects and technology stacks
• Debug, refactor, and optimize existing codebases with a focus on performance, maintainability, and scalability
• Participate in code reviews, sharing constructive technical feedback and incorporating input into changes
• Collaborate asynchronously on technical specifications, architecture decisions, and implementation plans
• Document code, APIs, and technical approaches so they are clear and reproducible

What you bring

• 1–3 years of professional software engineering experience in a full-time role or equivalent
• Strong proficiency in at least one modern programming language and its ecosystem
• Ability to independently scope, implement, and deliver software features or fixes
• Solid grounding in 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)

Tech you’ll work with

• Git, GitHub Actions
• AWS, GCP, Azure

Why this contract role

• Exceptional pay (USD 60–80 per hour)
• Exposure to real-world engineering problems across varied stacks and domains
• Portfolio building through experience solving complex, production-style tasks across diverse codebases
• Flexible time commitment with an asynchronous workflow over the next 2–3 weeks
• Startup exposure working with an early-stage, Y Combinator-backed research environment
• Professional growth by tackling challenging development work across multiple technologies

Preferred experience

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