Remote Research Engineer - Code Gen & AI Evaluation

YO AI Labs; Los Angeles (CA); Remote; USD 55,000 - 110,000; Full time

Job summary

YO AI Labs seeks experienced Research Engineers to contribute to code generation, software engineering, and AI model evaluation on a remote, contractor basis. You will analyze codebases across Python, Java, Rust, C++, Go, or TypeScript and help train next-generation AI systems.

Responsibilities include developing and reviewing coding tasks, providing feedback for model training, and collaborating on software quality and best practices in a distributed team.

Qualifications

• Strong background in competitive programming, algorithms, and data structures.
• Proficiency in Python 3, Java, Rust, C++, Go, or TypeScript.
• Experience debugging, implementing features, refactoring, and performance optimization.
• Contributions to open-source projects or collaborative software work.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Analyze, debug, and resolve issues across codebases.
• Implement new features for code generation workflows.
• Refactor and optimize code for performance 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.
• Document technical decisions, solutions, and best practices.

Skills

Competitive programming

Algorithms

Data structures

Programming languages: Python, Java, C

Debugging

Codebase refactoring

Performance optimization

Open-source contributions

Analytical thinking

Communication skills

Remote work ability

Job description

YO AI Labs seeks experienced Research Engineers to contribute to code generation, software engineering, and AI model evaluation on a remote, contractor basis. You will analyze codebases across Python, Java, Rust, C++, Go, or TypeScript and help train next-generation AI systems.

Responsibilities include developing and reviewing coding tasks, providing feedback for model training, and collaborating on software quality and best practices in a distributed team.