The profession of AI trainer: a prospect that should not be missed

The fact that artificial intelligence technologies continue to develop, affecting more and more new areas of human activity - this is already the norm today. But in order for neural networks to really help people, solve the tasks assigned to them as correctly as possible, provide accurate answers to user questions, it is important to ensure that they have the appropriate knowledge and skills. The solution to this problem is assigned to such a specialist as an AI trainer. It is he who will train artificial intelligence to generate relevant, competent, correct and accurate answers to user requests.

The main task that will be assigned to the AI trainer is to ensure that the neural network is guaranteed to cope with the tasks set, does not distort the facts, skillfully and flexibly answers questions on such sensitive topics as politics, religion, sexual orientation, nationality, finance, health. Yes, any neural network is based on machine learning. That is, the system is capable of learning itself based on the information that is presented today on the Internet. But surely each of you knows that not all information from the network can be trusted. If you, as a person who understands a particular issue, can identify certain inconsistencies, then the neural network will not understand this: it will accept the information presented as a fact and, based on it, generate an answer for the user. This is why the profession of an AI trainer is very important. It allows the system to “understand” what information will be correct and what will not, what sources deserve attention and which should be avoided, what answer will be ethical and which can offend a person.

As part of today's review, we will dwell in detail on how the profession of a neural network trainer appeared in principle and what it is. We will highlight the main professional and personal qualities that a person applying for the position of an AI trainer should have. We will tell you about the advantages and disadvantages of this profession. We will talk about how much such a specialist can earn and the prospects of the profession in general. The information presented will allow you to understand who an AI trainer is, as well as assess for yourself the possibility of mastering such a profession.

What caused the emergence of the profession of an AI trainer?

The answer to such a question as “what caused the emergence of the profession of an AI trainer” is unambiguous — development of neural networks and artificial intelligence in general. As more computing power and information for machine learning began to appear, the market began to realize the need for people who could keep this process under control, direct it in the right direction, and teach neural networks to be more flexible in solving various problems.

If we analyze the entire process of development of artificial intelligence, we can see that the first vacancies for specialists capable of training neural networks appeared in the USA. Large technology companies were primarily interested in such a solution. In particular, one of the first here was the OpenAI corporation, which created ChatGPT. All the capabilities that modern neural networks have, including conducting a completely intellectual conversation with people, composing poems and fairy tales, writing software algorithms, creating longreads, generating texts, pictures, posts — this is the result of not only machine learning, but also constant feedback from a real person.

Despite the fact that ChatGPT is considered one of the most advanced neural networks today, it continues to be trained by a fairly large number of specialists. They are engaged in marking successful and unsuccessful texts, identifying toxic content, checking answers that users did not like due to vague wording, lack of specifics, the presence of errors, inaccurate information, etc.

As artificial intelligence began to spread around the world, vacancies for AI trainers appeared in other countries. If we talk about Russia, then for the first time such a specialist was invited to work at Yandex. This company created the YandexGPT language model, as a result of which there was a need to attract philologists, editors, journalists and other specialists who could train it. The task itself was to study a huge number of sources, check the facts and, based on this information, determine how correct the material generated by the neural network was. The main requirements for applicants were impeccable knowledge of the Russian language, perseverance, the ability to process large amounts of information, and experience in preparing text content.

Following Yandex, vacancies for AI trainers also opened at Tinkoff. People who know how to work with text content were invited here, in particular linguists, translators, journalists, editors, copywriters, technical writers, creative authors, content managers, authors of popular science texts. But the requirements for applicants were the same: attention to detail, the ability to process large amounts of information, perseverance. Of course, ideally, candidates for the position of AI trainer should have certain knowledge in the field of artificial intelligence in general in order to understand how everything works here. This knowledge is needed to ensure the most effective training.

Today, vacancies for AI trainers can be seen in many companies around the world. In parallel with the development and spread of artificial intelligence, the need for such specialists is also increasing.

How neural networks are trained in principle

AI trainer — this is the person who takes on the role of an educator, a teacher, because artificial intelligence can be compared in many ways to a child: there are potentials, but they need to be developed. Here you need to put everything literally on the shelves, explain basic concepts, teach how to distinguish truth from lies, subtle humor from facts. It is necessary to explain how communication should be built in order to exclude misunderstandings, resentments, unintentional insults. The effectiveness of the finished product in the market and how well it will satisfy user requests depend on how professionally the neural network trainer will cope with his job responsibilities.

The entire process of training neural networks mostly consists of a number of key stages:

• Pre-training. This is a preliminary stage, which is mostly performed automatically. A huge number of texts are loaded into the basic neural network model in order to fill it with information. There is no sorting of materials into high-quality and low-quality, and AI trainers do not take part in the training at this stage. That is, the base is simply being formed here.
• Fine-tune. This is the main stage, within which the artificial intelligence trainer conducts some master classes for the neural network, demonstrating ideal requests to it and providing the same exemplary answers. In its volume, such material will not always exceed even 1% of everything that was loaded into the neural network, but the role of all this is very significant. The fact is that in subsequent work, the neural network will pay attention to these standards, adjusting all its communication with consumers to them.
• Training the reward model. At this stage, the neural network is taught to understand which text can be classified as high-quality and which is not. This training is based on the ranking of artificial intelligence responses. That is, a sequence is built, starting from the best and down to the very bad. At this stage, the responsibilities of AI trainers will include directly determining the quality of the texts, as well as their markup. The neural network will analyze the text itself, see what conclusion the person made, and will subsequently understand “what is good and what is bad.” As a result, over time, the AI itself will begin to sort out low-quality answers, removing them from the output to the person.
• Reinforcement learning. This is the stage of self-training, at which the neural network already has sufficient knowledge, understands what answers should be given to the user. It is already capable of identifying mistakes and correcting them. But still, you cannot do without the participation of an AI trainer. At this stage, the duties of this specialist will include identifying errors, ethical violations, toxic materials and their removal.

It turns out that the AI trainer must be connected to the work of artificial intelligence at all stages except the first, at which general large-scale machine learning is performed. And if the developers of the neural network want their product to receive the highest possible ratings from the user audience, in order to provide truly high-quality and professional services, the help of such specialists cannot be neglected.

Works that will be included in the responsibilities of the artificial intelligence trainer

Each AI trainer will have only one task: to train the neural network so that it effectively interacts with the user and solves the tasks set by him, be it writing texts, providing answers to questions, generating program code or images based on a text description. But in order to implement all this, quite a lot of work will have to be done and serious efforts will have to be made. Therefore, the main responsibilities of the artificial intelligence trainer should include:

1. Preparation of initial data, their processing. The AI trainer will select the materials on which the artificial intelligence will be trained. It is important to remove duplicates, incorrect information, and correct incorrect terminology. It is also important to ensure that the neural network learns to understand which topics are considered “sensitive” and knows the basic principles of how to answer certain user questions, and learns to identify offensive expressions and slang.
2. Checking the answers that the neural network will give for errors. If inaccuracies or mistakes are detected, the specialist eliminates them and re-trains in order to improve the quality and reliability of the answers provided.
3. Preparing reference-quality training texts. These will be the materials that will form the basis for the neural network’s work. These will be the samples that the artificial intelligence will follow in its subsequent work.
4. Making adjustments to the generated materials. The AI trainer will make changes to the texts created by the neural network if errors or inaccuracies are detected. This is what will allow you to get the most voluminous and reliable materials at the output, while observing ethical aspects.
5. Control over the efficiency of the neural network. Even after the artificial intelligence has undergone comprehensive training, it is very important to continue to monitor its work, monitor the correctness of the presentation of the material, and make adjustments in order to improve the final results.

One of the extremely important tasks facing every specialist in training artificial intelligence is to teach the program ethical considerations, especially in sensitive topics. We have already said above that this includes politics, religion, finance, medicine, discrimination based on certain principles and characteristics. If this is not done, the neural network may give answers that will be offensive to a person, will cause complaints, indignation.

Skills that an AI trainer should have

Will every person be able to work as a neural network trainer? Most likely, no. If you analyze the ads that contain vacancies for this position, you can see that employers are looking for people who are used to working with text content, understand what high-quality material should look like and can teach all this to a neural network. That is, people applying for such a position must have certain skills and knowledge, as well as the appropriate personal qualities. Now let's look at both of these groups so that you can assess your own capabilities.

You might also be interested in studying TOP 6 areas of artificial intelligence use.

Professional skills characteristic of an AI trainer candidate

The main professional qualities and skills that every person applying for the position of an artificial intelligence trainer should have are:

• High literacy. We have already said more than once that the basis of any work with neural networks is the processing and preparation of text content, including reference content. Therefore, the applicant must have deep knowledge of language rules and norms.
• Knowledge in the field of text editing. An AI trainer must be able to evaluate the quality of the material depending on various criteria. Here, the logic and consistency of the presentation of thoughts must be taken into account, and the structure must be observed. The final material must be easy to perceive and convenient to study. And it is clearly impossible to achieve such indicators without certain buildings in editing.
• Copywriting skills. In this case, we are talking about the applicant being well versed in different topics, understanding which text formats are suitable for a particular niche, audience, and being able to distinguish informational materials from commercial ones.
• Fact-checking skills. In this case, we are talking about knowledge and skills that will help to work effectively with different sources, identify fake materials among them, and be able to distinguish a high-quality primary source from a bad one.

If we analyze all these requirements, we can say with confidence that people with physiological, journalistic education, linguists, editors, copywriters, and Internet marketers are most often hired for the positions of AI trainers. But, along with professional knowledge and skills, personal qualities are also very important.

Personal qualities that an applicant for the position of AI trainer must have

We have already compared a neural network trainer with such professions as an educator, a teacher. And the analogy here is connected not only with similar tasks - training, but also with the presence of certain personal qualities, in particular:

• Attention to detail. The system that will pass the machine learning stage will already be able to give answers to user questions that will initially seem quite relevant and consistent. And here it is important for the AI trainer to be so meticulous and meticulous as to identify even the smallest inconsistencies and oversights that even the person who asked the question may not notice.
• Deep enough and professional knowledge in a wide variety of topics. It is clear that there is no universal specialist, but each of you can develop it in yourself if you have the desire to constantly delve into complex, unfamiliar topics and understand them. This is the only way to understand how correct the texts generated by the neural network are. Therefore, if you do not like to study, constantly understand something new, expand your horizons, this job is not for you.
• Perseverance. It will be required at each stage of working with the neural network. In their daily professional activities, an AI trainer is forced to perform a huge number of routine and similar tasks, process huge amounts of data. And all this work is performed, so to speak, in an isolated space. There is no direct contact with customers, business partners, and even, for the most part, with colleagues.
• Critical thinking. An AI trainer must delve deeply into each topic, learn to identify key points and draw the right conclusions. If there is no understanding of the context itself, if there are problems in the field of ethics, this can lead to the neural network simply causing certain harm to the user. Therefore, at the stage of training artificial intelligence, it is important to understand all the topics yourself, have common sense and correctly evaluate the source materials.
• Ability to conduct teamwork. Despite the fact that an AI trainer often works in his own limited space, he will still be part of one large team specializing in developing a neural network and bringing it to perfection. That is, from time to time you will still have to contact developers, analysts and many other specialists in order to delve as deeply as possible into the specifics of the neural network and teach it to work correctly.

If you think about it, the personal qualities that an artificial intelligence trainer should have are much more important than professional ones. The former must be possessed initially, literally at the genetic level, while the latter can be acquired during a short training.

Advantages and disadvantages of the profession of an AI trainer

Many specialists today agree that all professions related to artificial intelligence will be very promising in the foreseeable future and will bring a fairly stable and good income. That is, we can say with confidence that an AI trainer is one of the professions of the future. But the demand for such specialists is already quite high today. In addition, neural networks are constantly expanding, updating, new models are appearing. And all this happens in parallel in many areas. That is, one of the most significant advantages characteristic of the profession of an AI trainer will be its high demand in the market both today and in the future. But the advantages do not end there. In particular, I would also like to highlight the following points:

1. Opportunity to develop. An AI trainer must constantly understand various topics, expand their horizons, and delve into the latest modern technologies. This means that such a specialist will definitely not be bored.
2. Remote work format. In most cases, an artificial intelligence trainer will only need a personal computer or laptop connected to the Internet to fully work. No one will regulate the working day, trips to the office and all expenses associated with this are minimized or even completely eliminated.
3. Flexible schedule. The employer does not care what time of day and what days the work will be done. The main thing is that there is a result within the established deadline. This means that work as an AI trainer can be combined with studies and trips.
4. No age restrictions. Both a student and a pensioner can be a neural network trainer. As in the previous case, the main thing for the employer is that the neural network training proceeds according to a pre-established plan.
5. People with different educations can apply for the vacancy of an AI trainer. We have already said that the basic skills for performing such work can be obtained during a short training, while the basic personal characteristics and literacy must be present.

Are there any disadvantages to the profession of an AI trainer? As such, there are no serious disadvantages here, but there are a number of points that must be taken into account. In particular, among newcomers to the niche, the competition is quite high today and it will only increase, since many have already managed to appreciate its prospects. In addition, you must be prepared for the fact that you will constantly have to study, understand new tools, methods, and be aware of current trends. Also, many consider a fairly moderate salary to be a disadvantage, at least for the IT sphere. But this is a very relative indicator, which we will talk about a little later.

Where will an AI trainer be a demanded profession?

Already today we can confidently say that AI trainers are quite in demand in various organizations that specialize in the development of advanced technologies. If we talk about the Russian market, such vacancies are in demand today in Yandex and Tinkoff. But there are already all the prerequisites for the fact that many other organizations will hire these specialists in the foreseeable future, because artificial intelligence is the future. And this means that there should always be someone on hand who can conduct all the training as efficiently as possible.

Foreign companies are more advanced in this regard, since artificial intelligence technologies are more developed here. And it is noteworthy that the corresponding specialists are required not only in the field of IT technology, but also in many related areas. In particular, AI trainers are quite popular in many educational institutions. They are invited to give lectures in the field of machine learning. Vacancies for these positions are constantly active in financial organizations, as well as in the field of e-commerce. Such well-known trading platforms as Amazon, eBay today are already quite actively using neural networks to optimize their own algorithms for preparing recommendations for users in accordance with their requests. Neural networks are also used here to optimize the search. Gradually, these areas are increasingly expanding, changing, which means that the profession of an AI trainer is gaining popularity, and all over the world.

How much does an AI trainer earn on average

We have already said above that the earnings of an AI trainer are quite low in comparison with other specialists working in the field of information technology. But here everything is quite relative. So, if we talk about Russian vacancies, Yandex currently offers a monthly salary of 75,000 rubles, but stipulates that the final amount will still depend on the number of hours worked. There is a base rate and a set of coefficients that will increase it. As a result, the salary in practice fluctuates in the range from 50,000 to 120,000 rubles. But do not forget that most of the work is done remotely.

It is impossible to say anything definite about the salary at Tinkoff, since this information is not disclosed here. But the vacancy itself notes that the income of the AI trainer will directly depend on the number of completed jobs, in particular the tasks processed and their quality. They also note that work is possible both in the office and remotely, and combining with study is allowed.

The situation in Western countries, in particular in the USA, regarding the salary of an AI trainer is more optimistic and promising. In particular, last year the average salary here was about $30 per hour or about $5000 per month. It is very difficult to say whether Russian AI trainers will reach these figures, since today this area is not very developed, it has not gained popularity, has not become widespread.

In addition, most companies already have such specialists, but they are not allocated to a separate position. Often, all the responsibilities that an artificial intelligence trainer must perform in his daily work are taken on by other IT specialists. That is why today we see separate vacancies for an AI trainer only from large market players. Here, such specialists are needed to take direct part in the development of a product based on neural networks, because in this way the learning process will be as focused and concentrated as possible on a specific niche or a specific issue.

The difficulty here is also that there are no clearly defined standards for this profession yet. Here, the entire work process is more like creativity. There are no metrics by which one could clearly track the effectiveness of the work performed. Considering the fact that, in principle, the artificial intelligence industry continues to develop, everything related to it will also improve and develop.

What is needed to become an AI trainer

Considering the fact that the profession of AI trainer appeared relatively recently, today there are no universities that would conduct relevant training. Basic knowledge in this area can be obtained in specialized courses, but their range also leaves much to be desired. We would like to draw your attention to the fact that recently Yandex launched similar training within its online school. Any specialist with certain knowledge in the field of working with text content can apply here. Upon enrollment, you will be asked to complete a test assignment and provide your resume. These courses assume that the best graduates will immediately be employed by the company.

Yandex also offers an introductory free course, which includes 5 lessons, after studying which you will be able to understand in more detail what neural networks are and on what principles they work, and understand what you will have to do in the process of their training. Even such a free mini-course will be quite enough to understand whether this profession is right for you or not.

But no one says that you need to start working as an AI trainer after some education. If you work with text, if you understand what quality content is, if you have all the qualities that we talked about above in today's review, you can easily apply for such a vacancy. Believe me, all the practical skills that will be needed here can already be acquired directly in the work process. But in any case, be prepared that you will most likely need to pass a test on knowledge of the Russian language, check ranking and facts, and also write a text on a particular topic. The first stage mostly involves automatic verification, while the prepared content will already be checked by company representatives.

Summing up

We hope that the information we provided in today's review helped you understand the issue of the AI trainer profession and realize the prospects of mastering it. Will it have a future? With a high degree of probability, we can say that yes, since artificial intelligence is actively developing and affects more and more areas of human activity. This means that high-quality and trained neural networks will be needed in different directions.

Today, the work of specialists is largely aimed at developing language models, which is why editors and copywriters are often used as neural network trainers, but in the future, analytics and programming will gradually be added here. Such trends are already on the US and European markets, but they will not gradually expand to other regions.

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