Research Engineer - Remote

YO AI Labs; Roma; Remote; EUR 67,000 - 100,000; Part 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, debug, and review real-world coding tasks across multiple languages to help train and improve next-generation AI systems.

Remote work enables flexible collaboration with global teams. Responsibilities include implementing features, refactoring for performance, developing coding tasks for evaluation, providing feedback for

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

Python 3

Java

Rust

C++

Go

TypeScript

Competitive programming

Algorithms and data structures

Debugging

Codebase refactoring

Performance optimization

Open-source contributions

Analytical thinking

Problem-solving

Communication skills

Tools

Git

Job description

Research Engineer - Code Generation & Model Evaluation

Role Type: Contractor
Location: Remote

We are seeking experienced Research Engineers to contribute to a project focused on code generation, software engineering, and AI model evaluation.

You'll apply your programming expertise to develop, review, and evaluate real-world coding tasks that help train and improve next-generation AI systems. No prior AI experience is required.

Scope of Work

• 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.

Required Skills & 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.

Compensation

Compensation is output-based, with payment provided per task that meets project requirements. Task completion time may vary based on experience and workflow. Minimum weekly submission requirements apply.

Start Timeline & Availability

Roles are typically filled within 48 hours. Selected experts should be ready to begin their first tasks within 24-48 hours of completing onboarding.