How to interpret the newly released "National Occupational Skills Standards for Artificial Intelligence Trainers"?

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Hello everyone, I am Tai Ge. Recently, the "National Occupational Skills Standards for Artificial Intelligence Trainers"
(copy link download at the end of the article) was screened after it was released. I will share with you the popular opinions on the Internet, and talk about my personal views at the same time.

Original text link: How to interpret the newly released "National Occupational Skills Standards for Artificial Intelligence Trainers"?

01 Author: Orange boy

what level do you belong to

"Skills Standards for Artificial Intelligence Trainers" has 18 pages in total. You can skip to the last two pages directly. It divides artificial intelligence trainers into five levels. You can see which level your skills belong to?

Although it looks like I can take the first level exam, there are still working years requirements.

1. Level 5: Only one year or more of relevant work experience can be applied for.
2. Level 4: Obtain a Level 5 certificate for more than three years (that is, work for at least 4 years)
3. Level 3: Obtain the Level 4 certificate for more than three years (that is, at least 7 years of work), and must have a college degree or above
4. Level 2: Obtain a level 3 certificate for more than four years (that is, work for at least 11 years)
5. Level 1: Obtain a Level 2 certificate for more than four years (that is, at least 15 years of work)

I feel that this guide is mainly aimed at graduates from vocational education, and now the jobs in the AI ​​industry are mainly those with a master’s degree or above, so it is difficult for this guide to adapt to this situation. Fresh graduates with computer majors may be working as third-level technicians as soon as they enter a large factory, and it takes seven years to obtain a third-level technician certificate.

To put it another way, which one do you think is easier to enter a big factory, a junior college student who has worked for seven years and obtained a third-level technician certificate, or a doctoral/master student who has just graduated?

Limitations and challenges?

1. This "National Skills Standard for Artificial Intelligence Trainers" is for engineering positions, and may not be applicable for research positions.
2. Are companies denying this skill? Level 5 and Level 4 are relatively easy to quantify. Enterprises can recruit technicians with Level 5 and Level 4 certificates to do data labeling, but I don’t think so from Level 1 to Level 3. The more advanced the skills, the higher the creativity required, and creativity is really not easy to quantify and score.
3. A fourth-level technician needs at least 4 years of work experience. I don’t know who can persist in doing data labeling for 4 years.
4. From the fourth level to the third level, there is a gap, which requires completely different skills. To cross this gap, ordinary people may need to study a degree in computer science. Of course, for people above the third level, they will regard this gap as their moat.

02 Author: Jin Hui

At first glance, it feels like the certificate of "artificial intelligence engineer" is here. But after reading the original document of "National Occupational Skills Standards for Artificial Intelligence Trainers", I feel a little disappointed. Let me talk about the conclusion first:
$$AItrainer\_\_\ne AIEngineer\; Let’s$$
first look at the definition of “artificial intelligence trainer” in this document:

To sum up the keywords: database management, parameter adjustment, human-computer interaction design, performance test tracking and other auxiliary tasks. Note that there is no data mining, nor model building, algorithm design, and model interpretation !

Database management and human-computer interaction design have nothing to do with AI. The remaining two points are only parameter tuning and performance testing and tracking. From the meaning of paper, its focus is not on the process of modeling.

And it can be seen from the general education level that he graduated from junior high school. So those who really started to learn AI from undergraduate should also understand in their hearts. The target group of this standard is not a group of professional alchemists with backgrounds in AI, but a division of labor and standard formulation for data markers and some marginal work related to AI.

03 AI has temperature: AI engineer Tiger

Let me make some additions to the above two points of view, and talk about my personal views by the way:

1. In fact, many AI practitioners hope to give alchemists an official certification channel, just like the law test and cpa, which will help standardize and standardize the AI ​​industry.

2. Academic requirements. In the field of algorithms that are so complicated, undergraduates, masters, and Ph.D. students will take the probability theory, model principles, and parameter tuning of advanced mathematics together with junior high school students. Are you worried that you will fail them?

3. Regarding the requirements for working hours, it is written above that it takes at least 15 years of work to obtain a first-level certificate. I think this is the protection of programmers . At present, there is a 35-year-old crisis in major factories, and if this certificate can be widely recognized, then if you graduate with a master’s degree at 25 and obtain a first-level certificate at 40, you can guarantee that you will still have a job after 40.

4. The doubts that exist are the assessment of professional knowledge. It does not include model construction, algorithm design, etc., which are the core of artificial intelligence. Hope to see what's next.

The reminder here is not to blindly sign up for the certified training course of "artificial intelligence trainer". At present, the officially recognized exam has not yet been released, so everyone should not be deceived.

Original text link: How to interpret the newly released "National Occupational Skills Standards for Artificial Intelligence Trainers"?