With the continuous innovation and application of AI technology, the demand for talents in the AI industry has also shown explosive growth. The development of AIGC technology has brought about a huge demand for talents. According to relevant data, in the past two years, the number of jobs in the field of AIGC has increased significantly.
- In January 2021, the text generation image tool DALL· The launch of E triggered a surge in domestic demand for AI talent recruitment.
- From January to February 2021, the number of jobs in the field of AIGC increased by 281.88% year-on-year.
- From January to February 2022, the number of jobs in the field of AIGC increased by 76.74% year-on-year.
- In January 2023, ChatGPT was born, and the demand for AIGC talents rose against the trend again, with the number of jobs increasing by 331.3% year-on-year, a record high.
According to statistics, the current shortage of AI talents in the mainland has exceeded 5 million, and the ratio of supply and demand is 1:10.
The recruitment demand in the AIGC field is mainly concentrated in the Internet industry and the artificial intelligence industry. The Internet industry has the largest number of AIGC job postings, accounting for 1/3 of the total number of new jobs, about three times the number of artificial intelligence industry, and more than the new fintech and gaming industries combined.
The artificial intelligence industry is the industry with the largest number of AIGC talents, accounting for 6.45% of the total. Most of the other AIGC talents are located in data-intensive industries, such as e-commerce, education, culture and entertainment.
So, what are the jobs in AI that have seen a surge in demand, and what emerging jobs have emerged? This article will reveal them all for you.
The hot recruitment positions in the field of AIGC are mainly technical positions, and there is a strong demand for R&D talents such as algorithm engineers, natural language processing, and image recognition. On the supply side, there are mostly non-technical positions such as AI product managers and operations, and there is a certain imbalance in the structure of supply and demand. The salary of image recognition, algorithm researcher, and deep learning positions has reached millions.
In addition, AIGC product manager as a non-technical position, the salary level has also reached 900,000 yuan, compared with other fields, occupying a great advantage, attracting a large number of product talents.
First of all, the core position in the field of AI - algorithm engineer.
- It is mainly responsible for designing and optimizing the algorithm logic of the AI system, so that the AI can perform various tasks quickly and accurately.
- It can be subdivided into video algorithm engineers, image algorithm engineers, audio algorithm engineers, etc. according to different technical directions. These positions require a solid foundation in mathematics, statistics and programming, as well as in-depth understanding and research capabilities of AI technology.
- At present, the talent supply and demand ratio of algorithm engineers is lower than 0.4, indicating that the supply of talents in this technology direction is seriously insufficient. It is reported that the average annual salary of algorithm engineers is about 330,000, which is one of the highest-paying positions in the AI industry.
Second, another core position in the field of AI - data analyst.
- It is mainly responsible for collecting, processing and analyzing massive data, mining valuable information and rules from it, and providing data support and decision-making basis for AI systems.
- Strong mathematical, statistical and programming skills, as well as familiarity with and application of techniques such as data mining and machine learning, are required. Another important responsibility of a data analyst is data labeling, that is, cleaning, classifying and labeling input data to ensure the quality and validity of the data.
- The average annual salary of a data analyst is about 200,000, which is also a high salary in the AI industry.
In addition to these two types of core R&D positions, the AI industry also needs a large number of application-oriented talents.
- It is mainly responsible for combining AI technology with various industries and fields to create products and services with commercial value and social significance.
- For example, product managers are responsible for planning and designing the functionality, interface, and user experience of AI products; Solution engineers are responsible for customizing AI solutions according to customer needs; O&M engineers are responsible for maintaining and optimizing the stability and performance of AI systems; Sales consultants are responsible for promoting and selling AI products and services, etc. These positions require certain knowledge of AI technology, as well as knowledge and insight into the industry and market.
- The average annual salary of these positions is about 150,000, which is also a more promising position in the AI industry.
In addition to the above-mentioned mature positions, some emerging positions are emerging in the field of AI.
- For example, AI educators, AI ethicists, AI artists, etc. These positions are mainly created to meet the popularization, specification and innovation of AI technology.
- For example, AI educators should be responsible for cultivating and enhancing the public's awareness and application of AI technology; AI ethicists are responsible for formulating and supervising the ethical and legal norms of AI technology; AI artists are responsible for using AI technology to create works of art with beauty and creativity. These positions require interdisciplinary knowledge and competence, as well as a passion and spirit of exploration for AI technology.
- There is no uniform standard for the salary level of these positions, but with the development of AI technology, the demand and value of these positions will continue to increase.
In short, the AI field is an industry full of opportunities and challenges, whether it is a core R&D position or an application-oriented landing position, it requires solid professional skills and broad vision, as well as innovative thinking ability and business landing ability.
In addition to the professional requirements, words such as "top paper" and "commercialization" often appear in the JD position in the field of AIGC, requiring candidates to have academic achievements and business landing experience. Innovative thinking is very important because AIGC technology is developing very rapidly and requires constant exploration and experimentation with new technologies and methods to stay ahead of the curve.
If you are interested in AI technology and want to enter the industry, then you need to be fully prepared to constantly learn and improve yourself in order to stand out in this competitive market.