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 mastery of cutting-edge technologies like machine learning, deep learning, and natural language processing.
As technology-intensive roles, AI positions are characterized by high technical requirements, interdisciplinary integration, and strong innovation capabilities. With the convergence of technologies such as big data, cloud computing, and the Internet of Things (IoT), AI systems can now handle more complex data and tasks, driving AI applications into deeper and broader domains. Concurrently, advancements in computer hardware performance and algorithm optimization have continuously improved the training speed and accuracy of AI models, further accelerating the proliferation and application of AI technologies.
The online recruitment data for AI positions is constructed based on AI-related keywords, filtered through a specialized AI keyword dictionary (derived from Yao Jiaquan, Zhang Kunpeng, Guo Lipeng, and Feng Xu, 2024: How Does Artificial Intelligence Enhance Enterprise Productivity? —A Perspective from Labor Skill Restructuring, Management World, Issue 2). This dataset includes AI-related job postings from three recruitment sources and covers 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), Salary (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 AI keyword dictionary is detailed below:
The CnOpenData AI Position Online Recruitment Data for A-Share Listed Companies compiles AI-related job postings from listed companies, distinguishing sources B, C, and E. It includes information such as company name, stock code, job title, posting date, salary, education requirements, work experience, and region, offering high-quality data resources for research on listed companies.
Time Range
May 2014 - 2023
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