Software Engineer - AI Trainer
Job Description
This remote, project-based engineering opportunity at AfterQuery Experts is designed for engineers who can deliver dependable software work within a defined asynchronous window. You will design, implement, debug, and ship clean code while collaborating across varied stacks.
Role Overview
The engagement is project-based with a 2–3 week asynchronous work window and an estimated commitment of 10–20 hours per week per accepted project. The role focuses on producing well-tested, maintainable code and contributing to technical specifications, architecture decisions, and implementation plans as part of a distributed workflow.
Location and Schedule
- Location: Burlingame, CA (remote)
- Engagement model: Remote, project-based
- Work window: 2–3 weeks (asynchronous)
- Time commitment: 10–20 hours/week per accepted project
Compensation
- Salary range: USD 60–80 per hour
Responsibilities
- Design, implement, and ship clean, well-tested code across varied projects and technology stacks
- Debug, refactor, and optimize existing codebases for 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 and in a reproducible manner
Required Qualifications
- Experience: 1–3 years of professional software engineering experience in a full-time or equivalent role
- Programming skills: Strong proficiency in at least one modern programming language and its ecosystem
- Execution: Demonstrated ability to independently scope, implement, and deliver software features or fixes
- Engineering fundamentals: Solid understanding of data structures, algorithms, and system design
- Education: 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
Preferred Qualifications
- Experience across multiple layers of the stack, including 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 in contributing to open source projects or building personal software projects independently
Benefits
- Flexible time commitment: Work on your schedule while tackling meaningful engineering challenges
- Startup exposure: Work with an early-stage Y Combinator-backed company and gain hands-on experience
- Portfolio building: Build experience solving complex, real-world engineering problems across diverse codebases
- Professional growth: Strengthen your skills through varied, challenging development work spanning multiple domains and technologies
About AfterQuery Experts
AfterQuery is a research lab investigating the boundaries of artificial intelligence through novel datasets and experimentation. The team is backed by top investors, including Y Combinator and Box Group, and supports all leading AI labs.