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—including data structures, algorithm design, and operating systems—but also proficiency in cutting-edge technologies like machine learning, deep learning, and natural language processing.
As technologically intensive roles, AI positions are characterized by high technical demands, interdisciplinary integration, and strong innovation. The convergence of big data, cloud computing, and IoT technologies enables AI systems to handle increasingly complex data and tasks, driving AI applications into deeper and broader domains. Concurrently, advancements in computer hardware and algorithmic optimization continuously enhance the training speed and accuracy of AI models, further accelerating the proliferation and adoption of AI technologies.
The online recruitment data for AI positions employs AI-related keywords as the basis for database construction and retrieval. Using a specialized AI keyword dictionary (source: Yao Jiaquan, Zhang Kunpeng, Guo Lipeng, Feng Xu, 2024: How Does Artificial Intelligence Enhance Enterprise Productivity? —Perspective from Labor Skill Structure Adjustment, Management World, Vol. 2), this dataset filters job advertisements related to AI technologies. It integrates recruitment data from three sources, covering fields such as Company Name (公司名称), Work Location (工作地址), Position (岗位), Number of Openings (招聘人数), Compensation (待遇), Work Experience (工作年限), Education (学历), and Posting Date (发布日期), providing robust data support for related research.
The dictionary contents are detailed below:
CnOpenData’s Online Recruitment Data for AI Positions in A-Share Listed Companies compiles AI position data released by listed companies, distinguishing sources B, C, and E. It includes information such as Company Name (公司名称), Stock Code (证券代码), Position (招聘职位), Posting Date (发布日期), Salary (薪资), Education (学历), Work Experience (工作经验), and Region (地区), providing high-quality data resources for research on listed companies.
Time Coverage
May 2014 to 2024
Field Display
Sample Data
A股上市公司AI岗位线上招聘数据-B来源模糊匹配
A股上市公司AI岗位线上招聘数据-C来源模糊匹配
A股上市公司AI岗位线上招聘数据-E来源模糊匹配
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