Software Engineer (Open Source Contributor)

About the Role

• Apply expertise to train next-generation AI systems.
• Shape how models learn, reason, and perform through high-quality, real-world input.
• Create realistic, interesting, and challenging coding tasks for AI to solve.
• Implement deterministic verifiers that accept reasonable valid solutions and reject everything else.
• No prior experience in AI is required; domain knowledge is what matters.
• Contractual role with hourly pay of $50-$100 per hour.

Key Responsibilities

• Contribute expert-level code samples, debugging strategies, and development insights in Python3, Java, Rust, Go, C++, or TypeScript.
• Analyze, troubleshoot, and resolve complex software defects and performance bottlenecks in diverse codebases.
• Implement robust new features, ensuring scalability, maintainability, and adherence to software best practices.
• Refactor and optimize legacy code to improve clarity, efficiency, and long-term reliability.
• Document technical reasoning, solution approaches, and code decisions to enhance AI training data quality.
• Review and validate peer-contributed code and technical submissions for accuracy and clarity.
• Build reproducible Reinforcement Learning Environments that test an AI model's ability to fix code, add features, refactor, and optimize performance, including a golden reference solution for each problem.
• Perform Bug Fixing.
• Perform Codebase Refactoring.
• Perform Feature Implementation.
• Perform Performance Optimization.

Requirements & Tech Stack

• Clear open source contributions and a profile to showcase them, such as GitHub, preferably with C++, Python, Java, Go, TypeScript, or Rust.
• If no open source contributions, may be assessed through a HackerRank assessment.
• Python3
• Algorithms
• Codebase Refactoring
• Feature Implementation
• Java
• Basics C++
• Rust
• Typescript
• GitHub
• Performance Optimization
• Logical Thinking

Qualifications

• Significant hands-on expertise in at least one of the following: Python3, Java, Rust, Go, C++, or TypeScript.
• Deep understanding of algorithms, data structures, and software engineering principles.
• Proven ability to debug complex systems, resolve bugs, and deliver effective optimizations.
• Experience with large codebase refactoring and legacy system modernization.
• Track record of delivering high-impact features from conception through delivery.
• Strong documentation and communication skills.
• Interest in or curiosity about AI and its technical challenges.
• Interview and assessment stages are designed to evaluate how you think and must be completed independently.
• Experts who complete the AI interview may move through the process significantly faster.