了解AI 玩转AI What knowledge is needed to find AI-related jobs, how to apply for high-paying AI positions, and corporate recruitment requirements

[baike]Labor Market Environment[/baike]-A small number of companies use AI for layoffs, while most companies eagerly await AI technology

If asked what profession has the most promising future right now, it is undoubtedly artificial intelligence. There is no need to talk about the future anymore; AI has already integrated into domestic enterprises and is playing a good role. At present, some companies have begun large-scale layoffs, replacing many jobs with AI, while some forward-looking companies are eagerly awaiting AI employees. The next one to two years will see a wave of AI recruitment. This new AI job requires experience, and companies that are the first to absorb AI technical personnel will also gain better advantages. At the same time, you, as an AI employee, will certainly be hated by those who have been laid off~


[baike]Understanding AI's Transformation[/baike]-Discover potential, seize opportunities, change your thinking, and plan and learn for the future

When considering the impact of AI, concerns about job security are understandable, but it is also important to recognize the potential for positive change. AI can free us from mundane and repetitive tasks, allowing us to focus on more creative and fulfilling work. In addition, advances in AI have the potential to revolutionize various fields, including medicine, virtual reality, and economics.

Adapting to this new era of abundance requires a smooth transition and a willingness to embrace change. Interestingly, many people have expressed concerns, but we can use AI as a tool to improve our work and productivity. As we pass through this transformative stage, we need to develop the ability to sift through large amounts of data and extract valuable insights.

Change is indeed daunting, especially with the rapid progress of AI, but progress and innovation are crucial to the development of our society. Embracing these changes will bring technological progress, economic growth, and social development. It is crucial to recognize that progress and innovation are the cornerstones of our civilization's development, and they propel us forward in extraordinary ways.
Although it is natural to be concerned about the speed of change, it is also important to acknowledge the benefits and opportunities it brings. By mentally preparing for the continuous advancement of AI, we can better navigate the future and contribute to a positive and prosperous society.

[baike]Classification of Job Recruitment Categories[/baike]-Divided by market demand, with requirements for both technology and business

At present, the recruitment market is divided into several categories: prompt engineering, model training, R&D engineers, and scientists. To provide a clearer understanding, I have made a chart, with categories on the left corresponding to specific job types on the right (click the image to view a larger version).





BOSS Zhipin's common postings are in these categories. Of course, there are also endlessly emerging personalized positions with specific business needs. No matter which type of recruitment position, they all share one thing in common: they all have specific business needs. Familiarity with the underlying business and proficiency in composite AI technologies are extra bargaining chips for job-seeking success.

Core of AI technology: proficiency in prompts, data collection and training, model tuning and output
Core of AI business: product development, monetization models, customer resources

For example, {Position: Xiaohongshu content-based AIGC prompt engineer}. The core recruitment principle is proficiency in article and image generation tools such as ChatGPT, Wenxin Yiyan, Gemini, delle, MJ, and SD, and even involving comic and video creation and editing. You need to understand article structure, traffic acquisition, user traffic diversion and monetization, etc. If you are proficient and have successful cases, you will be hired directly. At this point, your technology serves as productivity, and the recruiting unit's thinking as a monetization model complements it.

The salary range for entry-level prompt engineers is about 8–20K; for model training roles, about 20–50K; and for R&D engineers, about 50–100K.

[baike]Learning Cost of AI Technology[/baike]-One year for newbies, half a year for those with some foundation; focus on the core and avoid detours

It takes six months to a year to go from beginner to mastery. The learning process follows the navigation module of this website, from left to right: AI cognition, market environment, model cognition, text-to-text, text-to-image, text-to-video, text-to-audio software usage, and mastery and practical application of related technologies.



Core of AI technology: proficiency in prompts, data collection and training, model tuning and output


The learning behind mastering prompts involves extensive human-computer interaction experience and understanding of large models: fully mastering input and output, and how to streamline output to obtain the desired business answer. Being an early-stage prompt engineer is not sustainable; in this process, you also need to learn data collection, analysis, and training. This cannot be separated from two skills [web crawling, Python]. High-quality data sources and acquisition capabilities, plus at least one programming language used to build models and connect product outputs, are the indicator requirements for a qualified AI worker.

[baike]Super-Fast Learning Method[/baike]-NIUBOYIAI website navigation module; learn steadily and quickly
When we first designed the website, we thought of the process for newcomers learning AI. To make it more convenient, we designed it to be more user-friendly. The entire website section is a left-to-right growth process for newcomers. In each section, we have designed a guided process for newcomers, priority learning course displays for key projects and potential projects, as well as displays of cases and research results. With our website navigation, you can learn about more of the latest and useful AI tools on the market, which can accelerate the process of learning AI technology. We also support customized teaching; we understand most industries and business logic and are also proficient in multiple AI technologies.

Our learning plan for you is: introduction > technical mastery > project practice > industry guidance.