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, work location, position, number of hires, salary, work experience, education level, and posting date, providing robust data support for related research.
The AI keyword dictionary is detailed below:
Time Range
May 2014 - 2023
Field Description
Sample Data
Online Recruitment Data for AI Positions-B Source
Online Recruitment Data for AI Positions-C Source
Online Recruitment Data for AI Positions-E Source
Data Update Frequency
Annual Update