Senior Software Engineer (Remote) - Open-Source Expert

YO AI Labs

Boston (MA)

On-site

USD 83,000 - 165,000

Part time

8 days ago
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Job summary

YO AI Labs is seeking experienced Senior Software Engineers with strong open-source profiles to create and evaluate challenging software tasks for AI training. You will build reproducible environments and reference solutions that test AI models on debugging, feature development, refactoring, and performance optimization.

No prior AI experience is required—your software engineering expertise and open-source contributions are what matter most.

Qualifications

  • Significant experience in one or more listed languages.
  • Strong algorithms, data structures, and software engineering fundamentals.
  • Experience debugging complex systems and optimizing performance.
  • Experience working with large codebases and legacy system modernization.
  • Proven open-source contributions on GitHub or GitLab.
  • Experience delivering features from conception through implementation.
  • Strong technical documentation and communication skills.
  • Interest in AI and software engineering evaluation is a plus.

Responsibilities

  • Create expert-level software engineering tasks involving bug fixing, feature implementation, refactoring, and optimization.
  • Develop reproducible environments and golden reference solutions for AI evaluation.
  • Work with Python, Java, Rust, C++, Go, and/or TypeScript codebases.
  • Debug complex systems and resolve performance bottlenecks.
  • Implement scalable and maintainable features.
  • Refactor legacy code and improve performance and reliability.
  • Document technical reasoning, solutions, and code decisions.
  • Review and validate technical submissions for quality and accuracy.

Skills

Python 3
Java
Rust
C++
TypeScript
Algorithms & Data Structures
Bug Fixing
Feature Implementation
Codebase Refactoring
Performance Optimization

Job description

YO AI Labs is seeking experienced Senior Software Engineers with strong open-source profiles to create and evaluate challenging software tasks for AI training. You will build reproducible environments and reference solutions that test AI models on debugging, feature development, refactoring, and performance optimization.

No prior AI experience is required—your software engineering expertise and open-source contributions are what matter most.

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