AI positions encompass various specialized fields such as Algorithm Engineer, Data Scientist, Machine Learning Engineer, and Natural Language Processing Engineer. These roles require not only foundational computer science knowledge (e.g., data structures, algorithm design, operating systems) but also proficiency in cutting-edge technologies like machine learning, deep learning, and natural language processing.
As technology-intensive positions, AI roles are characterized by high technical requirements, interdisciplinary integration, and strong innovation capabilities. With the convergence of big data, cloud computing, and IoT technologies, AI systems can now handle increasingly complex data and tasks, driving AI applications into deeper and broader domains. Meanwhile, advancements in computer hardware performance and algorithm optimization have significantly improved the training speed and accuracy of AI models, further accelerating the adoption and application of AI technologies.
The online recruitment data for AI positions is constructed based on AI-related keywords using a specialized AI keyword dictionary (derived from Yao Jiaquan, Zhang Kunpeng, Guo Lipeng, Feng Xu, 2024: How Does Artificial Intelligence Enhance Enterprise Productivity? ——A Perspective from Labor Skill Structure Adjustment, Management World, No. 2). This dataset filters job postings related to AI technologies from three recruitment sources and includes fields such as company name(公司名称), work location(工作地址), position(岗位), number of hires(招聘人数), salary(待遇), work experience(工作年限), education level(学历), and posting date(发布日期), providing robust data support for related research.
The AI keyword dictionary is detailed below:
Data Scale
Time Range
May 2014 - 2023
Field Display
Sample Data
AI岗位线上招聘数据-B来源
AI岗位线上招聘数据-C来源
AI岗位线上招聘数据-E来源
参考文献
- 孙鲲鹏、罗婷、肖星，2021：《人才政策、研发人员招聘与企业创新》《经济研究》第8期。
数据更新频率
年度更新