With the rapid development of modern technologies, new and fascinating professions are emerging. One such profession is that of a neural network trainer. This field holds significant promise and merits a closer examination.
Who They Are
Neural networks are continuously improving, and interacting with next-generation chatbots is increasingly resembling a conversation with a living person. AI trainers play a significant role in enhancing the quality of these communications. So, who are they, and what is the essence of their work?
The essence of this profession boils down to training Artificial Intelligence-based programs for proper and natural interaction with users. Simply put, the specialist’s job is to instruct the system to respond to questions in the most “human-like” manner. The information provided by the program must be reliable, and the text itself should not appear “robotic.”
The training process unfolds as follows. Initially, colossal data sets obtained from any available sources are uploaded into the system. The second stage is more complex. AI learns to work with the existing information: processing, fragmentation, sorting, etc. The goal of this process is to acquire the ability to give accurate, logical responses in a format that is easy for human perception.
The essence of a neural network trainer’s work involves the following:
- Writing reference texts to train the system.
- Correcting the responses generated by the neural network.
If the system is entirely unable to respond to certain questions, it must be shown examples, i.e., already prepared high-quality texts. If the program can formulate an answer, the trainer must demonstrate how to improve it.
Overall, the trainer’s responsibilities are divided into the following phases:
- Demonstrating examples.
- Improving the responses given by the neural network.
- Training the model for harmonious interaction with users and conducting coherent, substantial dialogues.
Profession’s Specialty
When working with a neural network, the trainer must evaluate the system-generated texts according to several criteria:
- Ethicality. This aspect is vitally important. The responses provided by the program should not be harmful. There are many sensitive topics that require extreme caution when addressed, such as religion, politics, medicine, pseudoscience, illegal activities, etc. The program should not promote intolerance or suggest ways to make explosives.
- Relevance to the posed question. The response generated by the program must be useful to the user. Factors assessed include the completeness of information, timeliness, and readability.
- Accuracy. The information used by the system to answer must be truthful and objective.
- Bearing in mind the listed requirements, a neural network trainer structures their work: writing reference texts, correcting responses, and ranking them, assigning places. When ranking responses, the specialist must consider the inequality of evaluative criteria. For instance, harmlessness is more critical than accuracy.
Knowledge Requirements
The neural network trainer vacancy is best suited for applicants with a “language” background. These are philologists, linguists, journalists, editors, translators, copywriters—people who love and excel at working with texts and are proficient in the Russian language.
In addition to the relevant education and experience, the following skills will be valuable for candidates for the AI-trainer position:
- The ability to quickly dive into new topics.
- The capability to search for necessary information from different sources (including foreign ones).
- The skill to check the veracity of facts.
- The knack for identifying primary sources.
- The aptitude for objectively evaluating text quality.
- The role is suitable for observant individuals who are detail-oriented, don’t shy away from routine tasks, and are tolerant of criticism.
Prospects
Training neural networks is not a short-term project. Only a human can handle this task, which means the profession will remain relevant.
In Russia, Yandex, the largest IT company, was the first to open such vacancies. It also created the first AI-trainer school.
Career growth for individuals in this field can be either horizontal (specialization in a particular subject matter) or vertical (position as a team leader of AI-trainers).
Experts predict that the demand for this profession will consistently rise over time, and the work will become more creative and interesting.
Pros and Cons
The advantages of the neural network trainer profession include the following factors:
- The opportunity to work remotely.
- Autonomy in managing workload.
- Relatively high salary.
- Prospects for further development.
- Holding such a position is quite prestigious.
The cons include the high requirements for applicants and the routine nature of the work.
The neural network trainer profession can confidently be called the profession of the future. The smarter AI-based programs become, the more subtle and creative tasks AI trainers will have to solve.
