This report addresses the concept of AI coaching, a new job —so to speak— that has been born and gained momentum with the large-scale arrival of artificial intelligence.
Artificial intelligence today has ceased to be just a futuristic idea to become a more than tangible reality that is impacting many sectors of our lives.
Behind this enormous technological advance is —among others— a group of highly specialized professionals: AI trainers or AI trainers in English. These experts are the architects that allow machines to learn, adapt and make decisions autonomously.
His work implies a delicate balance between the science and the art of making machines capable of doing many of the things we see today and everything that lies ahead for the future.
It is because of all this that it is time to know what this job position consists of, what is its function and importance within artificial intelligence and of course, what is its impact on the current world of work.
What is an AI trainer?
An AI trainer is a professional who is dedicated to developing and improving artificial intelligence models. Its main objective is teach the AI to perform specific tasks and make decisions based on the data it has been fed.
The job of an AI trainer involves several stages. First of all, it is important to understand the problem that you want to solve and define the objectives of the project. The trainer then collects and prepares the data needed to train the model.
This can result in searching existing data sets or creating new data by collecting information that is considered relevant.
Once the data is prepared, the AI trainer selects and configures a suitable model for the problem at hand. This involves choosing a neural network architecture, tuning hyperparameters, and establishing a training strategy. It trains the model using the available data and monitors its performance to assess its effectiveness.
During the training process, the trainer can also make adjustments to the model, such as introducing regularization techniques, optimizing the loss function, or making fine adjustments to model parameters. The goal is to gradually improve the performance and accuracy of the model.
In addition to initial training, an AI trainer may also be involved in the model validation and testing stage. This involves evaluating the performance of the model using separate data sets and making additional adjustments if necessary.
“I think it is a job for the future and very important”says Elar Tammeraja, certified AI trainer and co-founder of Wize AI in Estonia, when asked in an interview for another outlet why AI trainers will play a key role in the future. “It’s clear that machines will become a part of everyone’s lives and we as AI trainers need to make sure that the machines are doing the right thing.”
Ethics and responsibility in AI training
In the context in which we currently live, AI trainers play a crucial role in addressing challenges such as identifying and removing biases in training datathe transparency and explainability of the models, the privacy and security of the data, as well as the responsibility in making automated decisions.
- Bias identification and mitigation: They should be aware of existing biases in the data sets used for training. Data on the internet can reflect social inequalities or biases, which can lead to biased AI models, to name just one example, so coaches need to apply techniques to detect and remove them.
- Transparency and explainability: AI models are often considered black boxes due to their complexity. However, AI trainers should strive to make the models understandable and explainable to everyone.
- Transparency and explainability are essential to guarantee trust and acceptance of AI systems in society, although it is difficult for companies to reveal their secrets.
- Privacy and data security: These handle large amounts of data, some of which may be sensitive or private. Therefore, they must ensure that they are treated confidentially and comply with data protection regulations.
- Accountability in decision making: As AI systems make automated decisions that can affect people, trainers need to ensure that models are fair, unbiased and avoid discrimination as is the case with ChatGPT for example.
- Ethics in specific contexts: they must also consider ethical aspects in specific fields of application. For example, in medicine, they must address problems related to the confidentiality of health data and treatment decision-making.
In the field of justice, they must take into account equity and impartiality in the assignment of sentences, so their work is really complex and necessary for the proper functioning of the tools.
“I think the job of the AI trainer will be really important in the future, what we see more and more is the virtual agent becoming the core of a company’s customer service strategy”explains Henry Vaage Iversen, co-founder and chief product officer of boost.ai.
How much can an AI trainer charge?
Regarding remuneration, the salary of an AI trainer can vary depending on several factors, such as where they work – the United States is not the same as Spain -, the level of experience, the company or the industry in which they work .
In general, AI trainer salaries are often competitive due to the high demand for professionals in this field. According to market data, in the United States, the average salary of an AI trainer ranges between 80,000 euros and 150,000 euros per year, but these values may vary due to the aforementioned factors.
As you can see, the role that AI trainers play is almost vital if you want to end up implementing these wonderful tools on a day-to-day basis.
As AI continues to transform daily life, it is essential that they assume their ethical responsibility and work in collaboration with experts from different fields to promote the responsible and ethical development of artificial intelligence for the benefit of all.
“Technology is important, but you will always need the human dimension to deliver conversational AI with measurable business value,” explains Iversen and it is precisely this cornerstone of artificial intelligence that will take it to its full potential.