GitHub Contributor remote
About The Position
micro1 is engaging expert Senior Software Engineers to support a customer's innovative project. 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. As an expert you will be creating Reinforcement Learning Environments which test and AI model's ability to solve complex software engineering problems related to fixing code, creating features, refactoring code and optimizing performance. You will be tasked with creating a reproducible environment and golden reference solution for the problem. Applicants must have clear open source contributions and profiles to showcase it like GitHub or GitLab. (Preferably with C++, Python, JAVA, GoLang, Typescript, or Rust)
Requirements
- Clear open source contributions and profiles to showcase it like GitHub or GitLab.
- 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.
Nice To Haves
- 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.
Benefits
- Compensation is output-based; experts are paid per task that meets the project specifications.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Part-time
Career Level
Senior
Education Level
No Education Listed
