Remote Research Engineer: Code Generation & AI Evaluation

YO AI Labs; Kota Bandung; Remote; IDR 978,144,000 - 1,956,288,000; Full time

Job summary

YO AI Labs is seeking Research Engineers to contribute to code generation, software engineering, and AI model evaluation. This remote contractor role focuses on developing, reviewing, and evaluating real-world coding tasks to train next-generation AI systems.

No prior AI experience is required. You will analyze, debug, and enhance code across languages (Python, Java, Rust, C++, Go, TypeScript), implement features, optimize performance, and provide clear annotations for model training.

Qualifications

• Strong problem-solving and coding skills.
• Experience with debugging, feature implementation, codebase refactoring, and performance optimization.
• Experience contributing to open-source or collaborative software projects.

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 feedback and annotations to support model training and evaluation.
• Collaborate with contributors and stakeholders on software quality and technical direction.
• Document technical decisions, solutions, and best practices.

Skills

Competitive programming

Algorithms

Data structures

Python 3

Java

Rust

C++

Go

TypeScript

Debugging

Refactoring

Performance optimization

Open-source contributions

Communication

Remote work

Job description

YO AI Labs is seeking Research Engineers to contribute to code generation, software engineering, and AI model evaluation. This remote contractor role focuses on developing, reviewing, and evaluating real-world coding tasks to train next-generation AI systems.

No prior AI experience is required. You will analyze, debug, and enhance code across languages (Python, Java, Rust, C++, Go, TypeScript), implement features, optimize performance, and provide clear annotations for model training.