GitHub Contributor
Posted 2 days ago
You'll complete your application on Rex's career site.
About the Role
The team is searching for experienced software engineers who have a proven background in contributing to open-source projects to help refine AI systems using practical programming problems. You will be responsible for creating and developing reinforcement-learning environments based on existing software repositories, ensuring that every challenge provides a completely reproducible configuration and a top-tier example solution. This position is critical for advancing the ability of AI models to manage sophisticated programming environments by developing rigorous tasks that test their performance. Your contributions will directly shape the evolution of more intelligent and dependable coding assistants. In this capacity, you will troubleshoot complex issues, enhance performance across various software projects, and modernize legacy systems to boost their readability and sustainability. It is mandatory that you provide thorough explanations of your technical logic for all completed tasks to maintain the integrity and quality of the training datasets. Additionally, you will engage in peer review and calibration meetings, applying constructive feedback to maintain alignment with established project criteria.
Requirements
- Maintain a verifiable history of open-source contributions accessible via a GitHub or GitLab profile.
- Possess a minimum of three years of professional experience in software engineering.
- Demonstrate expert-level proficiency in one or more of the following: Python, Java, Rust, Go, C++, or TypeScript.
- Show hands-on experience using Git, Docker, and various automated testing suites.
- Demonstrate professional fluency in written English.
- Exhibit the capacity to operate autonomously while maintaining meticulous attention to detail in a remote-work setting.
- Preference is given to candidates with experience as core maintainers or contributors, as well as those with deep knowledge of distributed or large-scale codebases and formal code review procedures.
Responsibilities
- Develop programming challenges derived from actual repositories that evaluate an AI's capacity to address errors, implement new features, perform refactoring, and optimize software performance.
- Generate a fully functional, reproducible setup and a dependable reference solution for each task you develop.
- Analyze and troubleshoot sophisticated defects and performance hurdles within a variety of software architectures.
- Modernize outdated codebases to enhance maintainability and structural clarity.
- Document your technical decision-making processes to ensure the high quality of training datasets.
- Take part in collective review and calibration processes, applying provided feedback to meet consistent project quality benchmarks.
Benefits & Perks
- Pay for this position ranges from USD 50 to 100 per hour, with the exact hourly rate determined by your location of residence.
Note: This listing is summarized and paraphrased by WorkNow from a publicly posted role. For the original wording and full details, please refer to the employer's official posting.
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