AI positions encompass multiple specialized fields such as Algorithm Engineer, Data Scientist, Machine Learning Engineer, and Natural Language Processing Engineer. These roles require not only solid foundational computer science knowledge—including data structures, algorithm design, operating systems—but also mastery of 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 process increasingly complex data and tasks, driving AI applications into deeper and broader domains. Concurrently, advancements in computer hardware performance and algorithm optimization continue to enhance 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 compiled based on AI-related keywords as retrieval criteria. Using a specialized AI keyword dictionary (adapted from Yao Jiaquan, Zhang Kunpeng, Guo Lipeng, Feng Xu, 2024: How Does Artificial Intelligence Enhance Enterprise Productivity? —Perspective from Labor Skill Structure Adjustment, Management World, No. 2), AI-related job postings are filtered. The dataset includes 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), Compensation (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 keyword dictionary details are shown below:
The CnOpenData A-Share Listed Companies AI Position Online Recruitment Dataset compiles AI position data published 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 Level (学历), Work Experience (工作经验), and Region (地区), providing high-quality data resources for research on listed companies.
Time Range
May 2014 to 2024
Field Display
| 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 |
| ---- | ---- | ---- |
| 证券代码 | 证券代码 | 证券代码 |
| 关联公司名称 | 关联公司名称 | 关联公司名称 |
| 模糊匹配名称 | 模糊匹配名称 | 模糊匹配名称 |
| 与上市公司关系 | 与上市公司关系 | 与上市公司关系 |
| id | id | id |
| 招聘公司名称 | 招聘公司名称 | 招聘公司名称 |
| 招聘关联公司名称 | 招聘关联公司名称 | 招聘关联公司名称 |
| 公司地址 | 工作地点 | 工作地点所在区域 |
| 工作地点区域代码 | 工作地点所在区域 | 所在区域 |
| 所在区域 | 所在区域 | 所在城市 |
| 所在城市 | 所在城市 | 所在省份 |
| 所在省份 | 所在省份 | 岗位 |
| 岗位 | 岗位 | 职位描述 |
| 岗位描述 | 职位描述 | 职位类别 |
| 岗位标签 | 所属部门 | 待遇 |
| 岗位职能 | 待遇 | 招聘人数 |
| 所属部门 | 福利 | 工作经验 |
| 相关福利 | 下属人数 | 学历要求 |
| 招聘人数 | 汇报对象 | 工作性质 |
| 待遇 | 工作年限 | 发布日期 |
| 语言要求 | 年龄要求 | |
| 工作年限 | 语言要求 | |
| 学历 | 职位类型 | |
| 发布时间 | 学历要求 | |
| | 专业要求 | |
| | 性别要求 | |
| | 发布日期 | |
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