An AI Trainer is mainly responsible for managing the data that represents the core knowledge of a chatbot or voice assistant. They teach these conversational interfaces to understand inquiries and how to provide relevant responses. What does an AI trainer do?
What is AI Training?
Artificial Intelligence (AI) training is a process of teaching AI systems to discern and learn from data. The goal with AI training is to make sure AI systems understand how to translate relevant queries into the right outcomes.
AI training generally requires three components:
- A properly-designed and functional AI model
- Large amounts of accurate data and;
- A computing platform that is powerful enough to handle said data
AI training is a relatively new job role and is one that is set to grow over the next few years.
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Responsibilities of an AI Trainer
An AI trainer is responsible for making sure that AI responds to user inputs and requests intelligently. They use raw data to create organised and unbiased data sets.
Trainers are in charge of developing conversational flows for Virtual Assistants (VAs) and chatbots and are also responsible for deciding conversation topics and how user inputs should be interpreted and responded to.
Additionally, they set up the NLP/NLU (Natural Language Processing/Natural Language Understanding) model and label training phrases by associating them with their corresponding intents. To do this however, they must first collect data and identify groups of words that may have a semantic relation.
What are the responsibilities of an AI trainer?
- Ensure that AI responds to user inputs and requests
- Use raw data to create organised and unbiased data sets
- Develop conversational flows for VAs and chatbots
- Decide upon conversation topics
- Collect data and identify entities that may have a semantic relation
- Set up NLP/NLU model
- Label training phrases by associating them with intents
- Ensure data is properly annotated according to relevant guidelines
- Verify data annotations
- Re-annotate data when necessary
- Conducting quality assurance checks
Skills of an AI Trainer
An AI trainer has comprehensive data analysis skills and is able to work with large volumes of data both efficiently and in a secure manner. They have a strong working knowledge of chatbot metrics such as Cognition, Confusion, and Containment as well as knowledge of AI and machine learning (ML).
AI trainers have experience working with NLP engines such as Google Dialogflow, Amazon Lex, and IBM Watson and also have knowledge of large language models such as GPT-3 and AI21 Studio.
These IT professionals are also able to troubleshoot malfunctioning bots and use reporting tools such as PowerBI and Tableau to gain meaningful insights from raw data.
In terms of soft skills, AI trainers have exceptional communication skills as well as problem-solving and teamwork capabilities.
What are the skills of an AI trainer?
- Strong data analysis skills
- Ability to work with large volumes of data
- Knowledge of data security
- Strong working knowledge of chatbot metrics such as Cognition and Confusion,
- Knowledge of AI and machine learning
- Experience working with NLP engines such as Google Dialogflow
- Knowledge of large language models such as GPT-3
- Ability to troubleshoot malfunctioning bots
- Knowledge of reporting tools such as PowerBI
- Exceptional communication skills
- Strong problem-solving skills
- Ability to work well in a team
Background and Education
To work as an AI trainer, you’ll typically need at least a Bachelor’s degree. This needs to be in Data Analytics, Data Management, or a related field.
This is sufficient for most entry-level jobs. However, if you want to go a step further and be a more appealing candidate to companies and clients, consider getting a Master’s degree as well.
Because AI is a rapidly growing field, it’s important to keep yourself up-to-date with specialisation courses and classes. You can find options for some of these down below:
- AI Trainer Certification Bundle
- Sentiment Analysis For Chatbots – DialogFlow, IBM Watson
- NLP Techniques For Creating AI Chatbots
- Conversational AI (Chatbots) and NLP using Javascript
Salary of an AI Trainer
The salary of an AI trainer for an entry-level position is $53,000 whereas for those in more advanced positions, the salary can go up to $135,000. The average salary is $84,000 per year.
In Germany, the range for trainers is €48,000 – €85,000 whereas in the UK, the range is £29,000 – £93,000 per year.
Keep in mind that the range for these professionals can vary depending on responsibilities, skills, and industry.
What is the salary of an AI trainer?
| US | $53,000 – $135,000 |
| Germany | €48,000 – €85,000 |
| UK | £29,000 – £93,000 |
How much do freelance AI trainers make?
AI Trainer on freelancermap charge on average:
Rates in this field range between $40 and $96/hour for most freelancers.
The daily rate for AI Trainers (8 working hours) would be around:
