Remote Research Engineer: Code Generation & Model Evaluation

YO AI Labs; Seattle (WA); Remote; USD 22,000 - 56,000; Full time

Job summary

YO AI Labs is seeking a Research Engineer to contribute to code generation, software engineering, and AI model evaluation. This contractor role is remote, with tasks that involve developing and reviewing coding tasks to train next-generation AI systems.

You'll work with Python, Java, Rust, C++, Go, or TypeScript across real-world coding tasks, provide feedback for model training, and help improve performance and reliability of code generation workflows.

Qualifications

• Strong expertise in competitive programming, algorithms, and data structures.
• Proficiency in at least one of Python 3, Java, Rust, C++, Go, or TypeScript.
• Experience with debugging, feature implementation, codebase refactoring, and performance optimization.
• Experience with open-source contributions or collaborative software projects.
• Strong analytical and problem-solving abilities.
• Excellent written and verbal communication skills.
• High attention to detail in code validation and output consistency.
• 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

Algorithms & data structures

Python

Java

Rust

C++

Go

TypeScript

Job description

YO AI Labs is seeking a Research Engineer to contribute to code generation, software engineering, and AI model evaluation. This contractor role is remote, with tasks that involve developing and reviewing coding tasks to train next-generation AI systems.

You'll work with Python, Java, Rust, C++, Go, or TypeScript across real-world coding tasks, provide feedback for model training, and help improve performance and reliability of code generation workflows.