Experienced Software Engineer sought for AI research and evaluation projects. Responsibilities include designing RL environments, assessing AI-generated code, and optimizing AI systems. Requires strong software engineering, debugging, and GitHub collaboration skills; no AI experience needed.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
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Software Engineer – GitHub Contributor
Position: Software Engineer – GitHub Contributor
Type: Contract
Compensation: $50–$150/hour
Location: Remote
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.
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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
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- 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
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