全球MCP专家 远程-合同
🌍 MCP Expert Remote - Contract
职位名称：MCP 专家
职位类型：合同制
工作地点：远程
工作时间：灵活，您可自行选择时间与天数（包括周末）
所需技能：
- Python3
- JAVA
- Rust
- 算法
- 基础 C++
- Typescript
- 修复 bug
- 功能实现
- 代码重构
- 性能优化
职位简介：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如何学习、推理和执行，通过高质量的现实输入。无需 AI 相关经验——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 模型使用 Model Context Protocol (MCP) 工具解决复杂软件工程问题的能力。任务可能包括修复 bug、实现功能、重构代码或优化性能，同时要求智能体从真实 MCP 服务器中发现并推理信息。您将设计可复现的环境、确定性验证和黄金参考解决方案，准确评估 MCP 工具使用和软件工程能力。
所需技能和资格：
- 精通 C++、Python、JAVA、GoLang、Typescript 或 Rust。
- 对算法、数据结构和性能调优有深入理解。
- 有调试复杂软件问题并交付可维护解决方案的经验。
- 在功能开发和代码重构方面有扎实背景。
- 有优化软件性能和扩展性的实际能力。
- 优秀的书面和口头沟通能力，注重细节。
- 在协作、跨职能团队中取得成功的工作记录，最好在远程环境中。
优先资格：
- 有大型分布式代码库工作经验者优先。
- 熟悉现代 AI 或机器学习系统者优先，但非必需。
- 有参与严格代码审查并推动软件最佳实践发展的背景者优先。
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（暂定）
- 招聘经理审核
薪酬结构：
薪酬基于产出；专家按符合项目规范的任务获得报酬。完成工作所需时间因专家经验和工作流程而异。有最低提交要求。
查看英文原文
Job Title: MCP Expert
Job Type: Contract
Location: Remote
Schedule: Flexible, you pick the hours and days (including weekends if desired)
Required Skills:
- Python3
- JAVA
- Rust
- Algorithms
- Basics C++
- Typescript
- bug fixing
- feature implementation
- codebase refactoring
- performance optimization
Job Summary: 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 an AI model’s ability to solve complex software engineering problems using Model Context Protocol (MCP) tools. Tasks may involve fixing bugs, implementing features, refactoring code, or optimizing performance while requiring agents to discover and reason over information from real MCP servers. You will design reproducible environments, deterministic verification, and golden reference solutions that accurately measure both MCP tool use and software engineering ability.
Required Skills and Qualifications:
- Proficiency inC++, Python, JAVA, GoLang, Typescript, or Rust.
- Deep understanding of algorithms, data structures, and performance tuning.
- Demonstrated experience in debugging complex software issues and delivering maintainable solutions.
- Strong background in feature development and codebase refactoring.
- Proven ability to optimize software for performance and scalability.
- Exceptional written and verbal communication skills, with a keen attention to detail.
- Track record of success in collaborative, cross-functional teams, ideally in remote settings.
Preferred Qualifications:
- Previous experience working on large-scale, distributed codebases.
- Familiarity with modern AI or machine learning systems is a plus, though not required.
- Background in participating in rigorous code reviews and contributing to the development of software best practices.
Process:
- Apply to the role, filling out the screening questions
- Complete AI Interview (approx. 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