开源贡献者（GitHub）
Open Source Contributor (GitHub)
薪资：100–150美元/小时
地点：全球，完全远程
职位类型：承包商（每周约15小时）
时间安排：灵活——您可自行选择工作时间和日期，包括周末
我们正在寻找经验丰富的开源软件工程师，参与一个涉及软件开发、代码库探索、调试、系统架构和代码评估的AI训练项目。
工作内容包括在前后端系统中创建、解决、审查和验证具有挑战性的软件工程任务，并协助将特定语言的完整代码构建转换为另一种语言。
我们特别关注那些拥有或维护开源代码库，或对知名项目做出有意义贡献的工程师。贡献应体现真正的工程能力，而不仅仅是文档更新、依赖项升级、格式更改或小的拼写错误。
候选人应准备好讨论他们亲自撰写的特定代码库、拉取请求、问题和代码。
您将参与的工作
- 探索和理解不熟悉的软件代码库。
- 实现、修改和调试前端和后端组件。
- 跟踪跨接口、服务、库、API、数据库和外部依赖的数据和执行流程。
- 重现软件问题并确定其根本原因。
- 实现符合现有项目架构和贡献标准的解决方案。
- 编写单元测试、集成测试、回归测试和端到端测试。
- 审查AI生成的补丁，确保其正确性、完整性、安全性和可维护性。
所需资格
- 公开的或可验证的GitHub个人资料。
- 对一个或多个开源代码库拥有所有权或有实质性贡献。
- 在前端、后端、全栈、系统、开发者工具链、基础设施或其他重要技术领域具备扎实的软件工程经验。
- 具备多种编程语言的经验。
- 能够理解和修改不熟悉的代码库。
- 相关语言可能包括TypeScript、JavaScript、Python、Java、Go、Rust、C++、C#、Ruby、PHP，或其他在重要开源项目中使用的语言。
- 流程
- 申请该职位并完成筛选问题。
- 完成约30分钟的AI面试。
- 完成招聘经理审核。
- 薪酬结构
- 薪酬基于产出。专家按符合项目规格的任务获得报酬。
查看英文原文
Pay: $100–$150/hour
Location: Global, fully remote
Job Type: Contractor (~15 hours per week)
Schedule: Flexible—you choose the hours and days you work, including weekends if needed
We are looking for highly skilled Open-Source Software Engineers to contribute to an AI training project involving software development, repository exploration, debugging, system architecture, and code evaluation.
The work involves creating, solving, reviewing, and validating challenging software-engineering tasks across front-end and back-end systems and helping with translating full coding builds from one particular language into another.
We are particularly interested in engineers who own or maintain open-source repositories or have made meaningful contributions to established projects. Contributions should demonstrate real engineering ability, not only documentation updates, dependency bumps, formatting changes, or minor typo corrections.
Candidates should be prepared to discuss specific repositories, pull requests, issues, and code they personally authored.
What You’ll Work On
- Explore and understand unfamiliar software repositories.
- Implement, modify, and debug front-end and back-end components.
- Trace data and execution across interfaces, services, libraries, APIs, databases, and external dependencies.
- Reproduce software issues and identify their underlying causes.
- Implement solutions that fit an existing project’s architecture and contribution standards.
- Write unit, integration, regression, and end-to-end tests.
- Review AI-generated patches for correctness, completeness, security, and maintainability.
Required Qualifications
- A public or otherwise verifiable GitHub profile.
- Meaningful ownership of or contributions to one or more open-source repositories.
- Strong software-engineering experience across front-end, back-end, full-stack, systems, developer tooling, infrastructure, or another substantial technical area.
- Experience with multiple programming languages.
- Ability to understand and modify unfamiliar codebases.
Relevant languages may include TypeScript, JavaScript, Python, Java, Go, Rust, C++, C#, Ruby, PHP, or other languages used in substantial open-source projects.
Process
- Apply to the role and complete the screening questions.
- Complete an AI interview of approximately 30 minutes.
- Complete the hiring manager review.
Compensation Structure
Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.
Minimum submission requirements apply. Experts must submit a minimum number of tasks per week.
Start Timeline & Availability
We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first tasks within 24–48 hours of completing onboarding.
Originally posted on Himalayas