Research Engineer - Remote

YO AI Labs

Buenos Aires

A distancia

ARS 52.650.000 - 105.300.000

Jornada completa

Hace 4 días
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Descripción de la vacante

YO AI Labs is seeking a skilled Research Engineer to contribute to code generation and model evaluation, with a focus on developing, reviewing, and evaluating real-world coding tasks for training next‑generation AI systems. The role emphasizes remote work and strong independence, with no required prior AI experience.

The project spans multiple programming languages and codebases, demanding rigorous debugging, feature work, and performance optimization.

Formación

  • 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.

Responsabilidades

  • 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.

Conocimientos

Competitive programming
Algorithms & DS
Programming languages
Debugging
Open-source
Analytical skills
Communication
Attention to detail
Remote work

Herramientas

Python 3
Java
Rust
C++
Go
TypeScript

Descripción del empleo

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.

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