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Now viewing: Data Engineer - AI Trainer
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AfterQuery Experts
Data Engineer - AI Trainer
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Job Description
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.