Academic elites and senior engineers from Top 20 universities and leading tech companies. Deep understanding of China's internet ecosystem, mobile tech stacks, and localization needs, providing cutting-edge code quality assessment and system architecture reasoning data for AI models.
The Langhui technology & internet expert team composition and core advantages
朗慧科技互联网领域专家团队以Top20高校计算机硕博及头部科技企业资深工程师为核心，覆盖算法研发、后端架构、前端工程、DevOps等全栈技术方向。朗慧坚持大厂+名校双重筛选，优先签约有ACM/ICPC竞赛经历或顶会论文发表的顶尖技术人才。
专家团队深度理解中国互联网技术生态，包括微信小程序、支付宝生态、鸿蒙系统适配、信创国产化替代等独特场景。在代码质量评估、算法题解标注、系统设计评审等任务中，朗慧专家凭借真实工业级开发经验提供远超通识判断的专业级代码质量评估与架构设计标注数据。
覆盖任务类型包括代码审查与优化建议、算法复杂度分析、架构设计评审、Prompt工程评估、RAG系统评测等前沿AI训练场景。每一份技术标注均通过3轮专业审核——简历筛选、算法笔试、代码评审答辩，确保标注质量对标大厂T7+工程师水平。
End-to-end annotation services for technology & internet AI
Code review and optimization, complexity analysis, best practice recommendations, vulnerability identification
Algorithm solution annotation and difficulty assessment, data structure selection, time-space complexity analysis
Distributed system design review, microservice architecture evaluation, high availability assessment
Prompt engineering quality assessment, RAG system evaluation, model output quality scoring
Component design review, performance optimization, cross-device compatibility assessment
CI/CD pipeline review, containerized deployment evaluation, security compliance audit
In-depth data services for technology & internet LLM pretraining
Multi-language code corpus annotation, code intent understanding, code generation quality assessment
Tech doc structured annotation, API doc semantic parsing, architecture doc knowledge extraction
System design solution annotation, architecture trade-off analysis, capacity planning assessment
Indigenous tech substitution assessment, ecosystem compatibility annotation, open-source compliance review
Core value delivered by Langhui's technology & internet expert team
Senior engineers from leading tech companies, annotation quality benchmarks industrial-grade standards
Three-round technical review mechanism ensuring code and architecture evaluation quality
Frontend / Backend / Algorithm / Architecture / Security / DevOps — all technology stacks covered
Confirmed and initiated within 2 hours, supporting agile iteration requirements
Strict expert admission criteria ensure professional quality
Computer science, software engineering, AI or related fields
3+ years R&D experience at BAT, TMD, or equivalent leading tech companies
Proficient in 2+ mainstream programming languages, active GitHub contributor
Distributed system design experience, familiar with microservices, containerization, cloud-native
Top conference publications or ACM/ICPC awards preferred
Confirmation and initiation within 2 hours of task assignment
Langhui's differentiated advantages in technology & internet data annotation
Standardized process from requirements to high-quality delivery
Deep understanding of project needs, customized annotation plan
Precisely matched domain experts based on task type
Expert team delivers annotations with full quality monitoring
Three-round quality review before delivery
Are you a technology & internet professional? Join Langhui's certified expert network to advance AI with your expertise.