About the Role

About the Opportunity

This opportunity is for experienced Software Engineers with expertise in software development, debugging, code optimization, GitHub collaboration, and distributed systems to contribute to advanced AI research and evaluation projects. You'll apply your software engineering expertise to evaluate AI-generated code, build reinforcement learning environments, and help improve the reasoning, coding, and problem-solving capabilities of next-generation AI systems.

No prior AI experience is required. Your software engineering expertise and real-world development experience are the primary qualifications for success in this role. Professionals with strong GitHub contributions, open-source experience, backend development, or systems programming are especially encouraged to apply.

Responsibilities

Design and develop reinforcement learning environments that evaluate AI models on complex software engineering tasks.
Review and assess AI-generated code for correctness, maintainability, efficiency, and software engineering best practices.
Apply expertise in debugging, feature development, code refactoring, performance optimization, and software architecture.
Build reproducible coding environments using Model Context Protocol (MCP) tools and real-world software repositories.
Develop and validate deterministic test cases, verification systems, and reference solutions for AI evaluation.
Contribute to GitHub-based projects, code reviews, and collaborative software development workflows.
Translate complex software engineering concepts into clear, structured documentation for AI training and evaluation.
Collaborate with interdisciplinary teams to ensure technical accuracy, consistency, and code quality.

Required Qualifications

Bachelor's degree or higher in Computer Science, Software Engineering, Information Technology, or a related discipline, or equivalent professional experience.
Strong proficiency in Python, C++, Java, Go, TypeScript, Rust, or similar programming languages.
Experience with Git, GitHub, software debugging, feature implementation, and codebase refactoring.
Strong understanding of algorithms, data structures, software design principles, and performance optimization.
Excellent analytical thinking, problem-solving, and software engineering skills.
Strong written and verbal communication skills with exceptional attention to technical detail.
Ability to work independently in a fully remote environment.

Preferred Qualifications

Experience contributing to open-source projects or maintaining an active GitHub portfolio.
Experience working on large-scale, distributed systems or high-performance applications.
Familiarity with AI, machine learning, reinforcement learning, or AI model evaluation.
Experience designing automated testing frameworks, CI/CD pipelines, or software quality assurance processes.
Experience collaborating with cross-functional or remote engineering teams.

Compensation

Competitive compensation of $50–$150/hour. Weekly payments. Independent contractor engagement.

Application Process

Easy Apply on LinkedIn
Check Email for Next Steps
Participate in AI Interview & Technical Assessment
Hiring Manager Review & Onboarding

Requirements

Software Development

Strong proficiency in software development and debugging.

GitHub Collaboration

Experience with Git and GitHub for collaborative software development.

Programming Languages

Proficiency in Python, C++, Java, Go, TypeScript, or Rust.

Algorithms and Data Structures

Strong understanding of algorithms and data structures.

Nice to Have

Open-Source Contribution

Experience contributing to open-source projects.

Distributed Systems

Experience working on large-scale, distributed systems.

AI Familiarity

Familiarity with AI and machine learning concepts.

Benefits

Competitive Compensation

Earn between $50 and $150 per hour.

Weekly Payments

Receive payments on a weekly basis.

Remote Work

Work independently in a fully remote environment.