🌎 Software Engineer (GitHub Contributor), Remote- Contract

Xperteez Technology•,

1d•$50 - $100•Remote

About The Position

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. You'll create realistic, interesting and challenging coding tasks for AI to solve involving feature implementation and bug fixes, and implement deterministic verifiers that accept reasonable valid solutions and reject everything else.

Requirements

Python3
JAVA
Rust
Algorithms
Basics C++
Typescript
codebase refactoring
GitHub
Bug Fixing
Feature Implementation
Performance Optimization
Logical Thinking
Strong backend experience in Java, Node.js, Go, Rust, Typescript, Python, C++ or similar
A track record building scalable services and APIs
Comfort with debugging, performance work and automated testing
Solid code review instincts
Clear open source contributions and a profile to showcase them, such as GitHub (preferably with C++, Python, Java, Go, TypeScript, or Rust). If you don’t, you’ll be assessed through a HackerRank assessment instead.

Nice To Haves

Proven experience in backend development, with a track record of delivering high-quality and performant projects.
Demonstrated success in identifying and resolving software bugs and system bottlenecks.
Experience with codebase refactoring and implementing complex features in large-scale applications.
Strong understanding of algorithms, data structures, and foundational computer science concepts.
Excellent analytical, problem-solving, and technical communication skills.
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 within cross-functional projects.
Strong documentation and communication skills to articulate technical concepts clearly.
Interest in or curiosity about AI and its technical challenges (previous AI experience not required).

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.