The Ai Training Company
Software Engineer | Remote | $100/hr
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Open Source Software Engineers, Systems Developers & Competitive Programmers. Remote AI Project
We are seeking experienced Software Engineers, Open Source Developers, Systems Engineers, Backend Engineers, and Competitive Programmers to contribute to advanced AI training through real-world software engineering work.
You will develop features, debug complex issues, refactor existing codebases, optimize performance, review code quality, and produce clear technical documentation across established open source repositories.
No prior AI experience is required. Strong software engineering judgment and hands-on coding experience are what matter most.
What You’ll Do
- Build and refine features in existing open source codebases
- Implement production-quality solutions using Python, C++, Java, Rust, TypeScript, Go, C#, or related languages
- Diagnose and resolve complex bugs
- Refactor legacy or difficult-to-maintain code
- Improve software performance, scalability, readability, and maintainability
- Analyze unfamiliar repositories and understand architecture quickly
- Review code for correctness, edge cases, consistency, and engineering quality
- Validate implementation outputs against defined technical requirements
- Apply algorithms and data structures to complex engineering problems
- Develop efficient solutions when multiple implementation approaches are possible
- Participate in code review and peer feedback
- Maintain project documentation
- Write clear technical explanations describing solution design, tradeoffs, and implementation decisions
- Collaborate asynchronously with other engineers in a remote environment
Who Can Apply
Relevant backgrounds include:
- Software Engineers, Senior Software Engineers, Staff Software Engineers, Principal Software Engineers, Software Developers, Systems Software Engineers, Application Engineers, Product Engineers, and Software Development Consultants.
Open source backgrounds may include:
- Open Source Developers, Open Source Engineers, Open Source Maintainers, Open Source Contributors, OSS Developers, OSS Maintainers, Community Developers, Core Contributors, Project Maintainers, and Developer Community Contributors.
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Backend and systems backgrounds may include:
- Backend Engineers, Systems Engineers, Systems Programmers, Platform Engineers, Infrastructure Engineers, Distributed Systems Engineers, Runtime Engineers, Compiler Engineers, Database Engineers, Networking Engineers, Performance Engineers, and Developer Tools Engineers.
Programming-language specialists may include:
- Python Developers, Python Engineers, C++ Engineers, C++ Developers, Java Engineers, Java Developers, Rust Engineers, Rust Developers, TypeScript Engineers, TypeScript Developers, Golang Engineers, Go Developers, C# Engineers, .NET Developers, and Polyglot Software Engineers.
Algorithmic backgrounds may include:
- Competitive Programmers, Algorithm Engineers, Algorithms Developers, Algorithmic Problem Solvers, ICPC Competitors, Programming Contest Participants, Codeforces Competitors, LeetCode Experts, and Olympiad Programming Participants with strong professional software engineering skills.
Additional relevant roles include:
- Full-Stack Engineers, DevOps Engineers, Site Reliability Engineers, SREs, Cloud Engineers, Embedded Software Engineers, Firmware Engineers, Machine Learning Engineers, AI Infrastructure Engineers, Research Engineers, Test Infrastructure Engineers, Automation Engineers, and Security Engineers with substantial coding experience.
Relevant Software Engineering Experience
Strong candidates may have experience with:
- Feature development
- Bug fixing
- Codebase refactoring
- Legacy code modernization
- Performance optimization
- Scalability improvements
- Code review
- Technical design
- Repository maintenance
- Dependency management
- API development
- CLI development
- Library development
- Framework development
- Systems programming
- Backend development
- Distributed systems
- Concurrency
- Multithreading
- Memory management
- Networking
- Database systems
- Build systems
- Testing
- Debugging
- Static analysis
- Profiling
- Benchmarking
Open Source Experience
Relevant experience may include:
- GitHub pull requests
- GitLab merge requests
- Issue triage
- Bug reproduction
- Feature proposals
- RFCs
- Code reviews
- Repository maintenance
- Release management
- Documentation contributions
- Test coverage improvements
- Community collaboration
- Maintainer discussions
- Dependency upgrades
- CI/CD fixes
- Backward compatibility
- API stability
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Requirements
- Strong professional software engineering experience
- Expert-level proficiency in at least two of Python, C++, Java, Rust, TypeScript, Go, C#, or closely related languages
- Significant experience working with existing or unfamiliar codebases
- Strong debugging and problem-solving ability
- Experience developing features and fixing complex bugs
- Experience refactoring and maintaining production software
- Strong understanding of algorithms, data structures, and computational complexity
- Ability to evaluate multiple technical approaches and select an appropriate solution
- Strong code-review skills
- Excellent attention to detail
- Strong written and verbal communication
- Ability to produce concise technical documentation
- Comfortable working independently in a remote collaborative environment
Preferred Background
- Significant open source contribution history
- Experience maintaining or contributing to widely used repositories
- Strong competitive programming background
- Experience working on large or mature codebases
- Experience with systems programming or performance-sensitive software
- Experience profiling and optimizing production systems
- Experience designing APIs, libraries, frameworks, or developer tools
- Experience reviewing pull requests from other engineers
- Experience writing technical design documents or RFCs
- Experience mentoring contributors or junior engineers
- Experience maintaining CI/CD pipelines for open source projects
- Experience working across multiple programming languages
- Prior AI evaluation, coding benchmark, rubric-based review, or technical training-data experience is helpful but not required
This opportunity is ideal for engineers who enjoy working inside real codebases, understanding unfamiliar systems quickly, fixing difficult bugs, improving existing software, and producing clean, efficient, maintainable code rather than only solving isolated coding exercises. We are a referral partner of the client.
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