Remote Research Engineer: Code Gen & Model Eval

Yo Ai Labs; Valparaíso; A distancia; CLP 16.268.000 - 22.776.000; Jornada completa

Descripción de la vacante

Yo Ai Labs is seeking experienced Research Engineers to contribute to a project focused on code generation, software engineering, and AI model evaluation. The role is remote and contract-based, with tasks designed to develop, review, and evaluate real-world coding challenges that train next-generation AI systems.

You'll apply your programming expertise across multiple languages, participate in open-source style collaboration, and document technical decisions to support ongoing quality and

Formación

• Strong skills in algorithms and data structures.
• Proficient in at least one language from Python, Java, Rust, C++, Go, or TypeScript.
• Experience debugging and refactoring for performance.
• Experience with open-source contributions or collaborative projects.
• Strong analytical and problem-solving abilities.
• Excellent written and verbal communication.
• Detail-oriented with focus on code validation.
• Ability to work independently in a remote environment.

Responsabilidades

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

Conocimientos

Competitive programming

Algorithms

Data structures

Languages: Python/Java/Rust/Go/TS

Open-source contributions

Communication skills

Remote work

Code optimization

Descripción del empleo

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.

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.