Remote Research Engineer: Code Gen & Model Evaluation

YO AI Labs; Auckland; Remote; NZD 55,000 - 124,000; Full time

Job summary

YO AI Labs is seeking experienced Research Engineers to contribute to a project focused on code generation, software engineering, and AI model evaluation. You will analyze coding tasks, review code, and help train next-generation AI systems in a fully remote role.

Responsibilities include developing features for code generation workflows, debugging across Python, Java, Rust, C++, Go, or TS code, and providing precise feedback to improve model judgments.

Qualifications

• Proven ability in competitive programming, algorithms, and data structures.
• Experience debugging, implementing features, refactoring, and optimizing performance.
• Experience with open-source projects or collaboration.
• Strong problem-solving and communication skills.
• Ability to work independently in a remote environment.

Responsibilities

• Analyze, debug, and resolve issues across codebases using Python 3, Java, Rust, C++, Go, or TypeScript.
• Implement new features and enhancements for code generation workflows.
• Refactor and optimize code for performance, scalability, and maintainability.
• Develop and review coding tasks to evaluate AI-generated code.
• Provide clear feedback and annotations to support model training and evaluation.
• Collaborate with technical contributors and stakeholders on software quality and technical direction.
• Document technical decisions, solutions, and best practices.

Skills

Competitive programming

Programming languages

Debugging & optimization

Open-source experience

Remote collaboration

Job description

YO AI Labs is seeking experienced Research Engineers to contribute to a project focused on code generation, software engineering, and AI model evaluation. You will analyze coding tasks, review code, and help train next-generation AI systems in a fully remote role.

Responsibilities include developing features for code generation workflows, debugging across Python, Java, Rust, C++, Go, or TS code, and providing precise feedback to improve model judgments.