Senior Software Engineer for AI Training

Role Overview

Build realistic software engineering environments that help train next-generation AI systems to fix defects, implement features, refactor code, and improve performance. You will create reproducible project environments and golden reference solutions for complex engineering problems.

Key Responsibilities

• Contribute expert code samples, debugging strategies, and development insights in Python 3, Java, Rust, Go, C++, or TypeScript.
• Analyze, troubleshoot, and resolve complex defects and performance bottlenecks across diverse codebases.
• Implement scalable, maintainable features aligned with software engineering best practices.
• Refactor and optimize legacy code to improve clarity, efficiency, and long-term reliability.
• Document technical reasoning, solution approaches, and code decisions to support high-quality AI training data.
• Review and validate peer code and technical submissions for accuracy and clarity.

Qualifications

• Significant hands-on expertise in at least one of Python 3, Java, Rust, Go, C++, or TypeScript.
• Strong knowledge of algorithms, data structures, and software engineering principles.
• Demonstrated ability to debug complex systems, resolve bugs, and deliver effective performance optimizations.
• Experience refactoring large codebases and modernizing legacy systems.
• A record of delivering high-impact features from concept through delivery in cross-functional projects.
• Clear public open-source contributions and profiles, such as GitHub or GitLab, preferably demonstrating work in C++, Python, Java, Go, TypeScript, or Rust.
• Strong technical documentation and communication skills.
• Interest in AI technical challenges is valued; prior AI experience is not required.

Work Terms

• Remote independent-contractor engagement supporting an innovative customer project.
• Expected commitment is approximately 15 hours per week.
• Work consists of task-based submissions that must meet project specifications and minimum weekly submission requirements.
• Selected candidates are expected to begin their first tasks within 24 to 48 hours after completing onboarding.

Compensation

• Stated compensation range is $50 to $150 per hour.
• Payment is output-based and issued per task that meets project specifications; completion time varies by experience and workflow.

Application Process

• The selection process includes screening questions, an approximately 30-minute AI interview, a tentative technical assessment, and hiring-manager review.
• This role is currently closed and is not accepting applications.