Senior Software Engineer for AI Training

Role Overview

Create reproducible reinforcement learning environments and reference solutions that evaluate AI systems on complex software engineering challenges. Your expertise will help train next-generation AI systems through real-world tasks involving bug fixes, feature development, refactoring, and performance optimization. Prior AI experience is not required.

Key Responsibilities

• Build reproducible coding environments and golden reference solutions for complex software engineering problems.
• 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 using sound software engineering 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 understanding of algorithms, data structures, and software engineering fundamentals.
• Demonstrated ability to debug complex systems, fix defects, and deliver effective performance improvements.
• Experience refactoring large codebases and modernizing legacy systems.
• A record of delivering high-impact features from concept through delivery in cross-functional projects.
• Clear documentation and communication skills.
• Public open-source contributions and a profile that demonstrates them, such as GitHub or GitLab. Contributions in C++, Python, Java, Go, TypeScript, or Rust are preferred.
• Interest in AI and its technical challenges is welcome, though prior AI experience is not required.

Work Terms

• Remote independent contractor engagement.
• Expected commitment of approximately 15 hours per week.
• Selected contributors should be ready to begin their first tasks within 24 to 48 hours after completing the required onboarding steps.

Compensation

• $50 to $150 per hour.
• Compensation is output-based and paid per task that meets project specifications. Time required may vary based on experience and workflow.
• Minimum submission requirements apply, including a required minimum number of tasks each week.

Application Process

• Submit an application and complete screening questions.
• Complete an AI interview of approximately 30 minutes.
• Complete a tentative technical assessment, followed by hiring manager review.