Research Engineer - Remote

YO AI Labs

Cork

Remote

EUR 53,000 - 107,000

Full time

14 days+

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Job summary

YO AI Labs is seeking experienced Research Engineers for a remote contractor role focused on code generation, software engineering, and AI model evaluation. You will analyze, review, and evaluate real-world coding tasks that help train next-generation AI systems.

Prior AI experience is not required. Responsibilities include analyzing codebases across languages (Python, Java, Rust, C++, Go, TypeScript), implementing features, refining tasks for evaluation, and documenting decisions to guide model

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

Competitive programming
Algorithms & DS
Python/Java/Rust/C++/Go/TypeScript
Debugging & refactoring
Open-source contributions
Analytical thinking
Communication skills
Attention to detail
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.

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