GitHub贡献者
GitHub Contributor
职位名称：GitHub 贡献者
职位类型：承包商（每周约15小时）
地点：远程
micro1 正在聘请资深软件工程师，以支持客户的创新项目。在此职位中，您将运用专业知识帮助训练下一代 AI 系统。您的工作将影响模型的学习、推理和表现方式，通过高质量的现实世界输入。无需 AI 领域经验——您的专业领域知识才是关键。
作为专家，您将创建强化学习环境，测试 AI 模型解决与修复代码、创建功能、重构代码和优化性能相关的复杂软件工程问题的能力。您将被要求为该问题创建可复现的环境和黄金参考解决方案。
申请人必须有清晰的开源贡献，并有 GitHub 或 GitLab 等平台的资料展示。（优先考虑 C++、Python、JAVA、GoLang、Typescript 或 Rust）
工作范围
- 在 Python3、Java、Rust、Go、C++ 或 TypeScript 中贡献专家级别的代码示例、调试策略和发展见解。
- 分析、排查并解决多样代码库中的复杂软件缺陷和性能瓶颈。
- 实现稳健的新功能，确保可扩展性、可维护性，并遵循软件最佳实践。
- 重构和优化遗留代码，以提高清晰度、效率和长期可靠性。
- 记录技术推理、解决方案方法和代码决策，以提升 AI 训练数据质量。
- 审核和验证同行贡献的代码和技术提交，确保准确性和清晰度。
优先资格
- 至少在一个以下语言中有丰富的实践经验：Python3、Java、Rust、Go、C++ 或 TypeScript。
- 对算法、数据结构和软件工程原理有深入理解。
- 有调试复杂系统、解决 bug 和提供有效优化的经验。
- 有大型代码库重构和遗留系统现代化的经验。
- 有从构思到交付在跨职能项目中实现高影响力功能的记录。
- 有良好的文档编写和沟通能力，能够清晰表达技术概念。
- 对 AI 及其技术挑战有兴趣或好奇心（无需 AI 相关经验）。
流程：
- 申请该职位，填写筛选问题
- 完成 AI 面试（约30分钟）
- 技术评估（十）
查看英文原文
Role Title: GitHub Contributor
Role Type: Contractor (~15 hrs a week)
Location: Remote
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)
Scope of Work
- 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.
Preferred Qualifications
- 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.
- Interest in or curiosity about AI and its technical challenges (previous AI experience not required).
Process:
- Apply to the role, filling out the screening questions
- Complete AI interview (aprox. 30 minutes)
- Technical Assessment (Tentative)
- Hiring Manager review
Compensation Structure
Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.
Start Timeline & Availability
We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.
Originally posted on Himalayas