Research Engineer - Remote

YO AI Labs

Chicago (IL)

Remote

USD 83,000 - 193,000

Full time

3 days ago
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Job summary

YO AI Labs is seeking experienced Research Engineers to contribute to a project centered on code generation, software engineering, and AI model evaluation. You will apply 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. Responsibilities include analyzing codebases, implementing features, reviewing tasks for evaluation accuracy, and documenting decisions to support model

Qualifications

  • Strong background in competitive programming, algorithms, and data structures.
  • Proficiency in at least one language: Python 3, Java, Rust, C++, Go, or TypeScript.
  • Experience debugging, implementing features, refactoring, and optimizing performance.
  • Open-source contributions or collaborative software project experience.
  • 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
Data structures
Python 3
Java
Rust
C++
Go
TypeScript
Debugging
Code review
Refactoring
Performance optimization
Open-source
Analytical thinking
Communication
Detail-oriented
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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