Research Engineer - Remote

YO AI Labs; San Francisco (CA); Remote; USD 41,000 - 83,000; Full time

Job summary

YO AI Labs is seeking experienced Research Engineers to work remotely on code generation, software engineering, and AI model evaluation. You will analyze and review coding tasks to help improve next-generation AI systems, with no prior AI experience required and ability to work independently in a contractor role.

Responsibilities include implementing features, debugging, and annotating tasks to support model training, while collaborating with technical contributors on quality and direction.

Qualifications

• Strong ability in competitive programming, algorithms, and data structures.
• Proficiency in one of Python 3, Java, Rust, C++, Go, or TypeScript.
• Experience debugging, implementing features, refactoring, and optimizing code.

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 for model training.
• Collaborate with contributors and stakeholders on software quality.
• Document technical decisions, solutions, and best practices.

Skills

Competitive programming

Algorithms & data structures

Python 3

Java

Rust

C++

Go

TypeScript

Remote work

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.