What jobs will AI create? 7 examples
1. AI trainer
AI tools, like humans, require training before they can perform new tasks. As a result, you may find yourself hiring at least one AI trainer. AI trainers select data inputs and give algorithms the chance to learn new skills. They may also validate data annotations and check the output of each AI tool to ensure accuracy.
If you need to recruit a data trainer, consider seeking someone who is comfortable performing quality assurance tasks, as data validation and verification are often key aspects of the job. The role of an AI trainer also requires advanced technical skills.
2. Personality designer
If you’ve ever dealt with a chatbot that doesn’t understand your questions or provide useful answers, you will appreciate the importance of developing user-friendly AI tools. Personality designers focus on making interactive tools more engaging, which may help your company improve customer satisfaction scores or achieve other service-related objectives.
As with other jobs created by artificial intelligence, this position typically requires advanced technical skills. It is also beneficial to look for candidates with UX or UI design experience. Personality designers must collaborate with AI trainers, customer service agents, and other colleagues, so your job description may need to include problem-solving, negotiation and conflict resolution as essential skills.
3. AI experience designer
Although the job titles are similar, an AI experience designer differs from a personality designer. While personality designers focus on making AI tools more engaging, AI experience designers often use artificial intelligence to predict user behaviour and automate routine tasks. If you decide to hire an AI experience designer, look for candidates with a background in UX/UI design or a closely related field.
4. Prompt engineer
AI tools can’t read your mind – at least not yet. To obtain the desired output, you must enter a prompt with specific parameters. The better the prompt, the more relevant the output. Prompt engineers are responsible for creating AI prompts, testing them, and updating them as needed to meet a company’s objectives. They may also be tasked with optimising prompts.
This role requires a high level of creativity, as prompt engineers must anticipate users’ needs and develop innovative ways to meet them. They typically also need proficiency in Python and other programming languages.
5. Data curator
Data curators are responsible for gathering data, inputting it into AI algorithms, and ensuring it’s assigned to the correct categories. This makes it easier for AI users to obtain the output they need. Data curators also edit or enhance data, ensuring AI algorithms are always working with the most up-to-date information.
A quality candidate for this role understands the fundamentals of data management, can work with AI algorithms, and is willing to learn best practices in data cleaning and normalisation. Look for candidates with experience in risk management, information technology, business continuity or related fields. An AI data curator must also pay excellent attention to detail.
6. AI-generated content reviewer
Some companies now use AI tools to produce blog posts, white papers and other types of content. Although AI tools understand basic grammar rules, they don’t necessarily grasp your company culture or target market.
As a result, businesses still require humans to review AI-generated content. This role involves correcting errors, ensuring each piece of content adheres to your brand’s style guidelines, and aligning AI outputs with your company’s objectives.
When recruiting a content reviewer, look for candidates with extensive experience in copywriting, marketing or a related field. Your new recruit should have excellent writing skills and pay close attention to detail. Experience in following corporate style manuals or editing content according to strict guidelines is also advantageous.
7. AI instructor
With all the new jobs created by AI, there is a strong likelihood you’ll need to hire at least one AI instructor in the near future. An AI instructor differs from an AI trainer, as each role targets a different audience. AI trainers work directly with artificial intelligence tools, whereas AI instructors teach people how to use AI.
When implementing a new AI tool, an AI instructor can run training sessions, conduct product demonstrations, and carry out other tasks to ensure staff understand how to use the tool effectively.
This job suits candidates with experience in training, e-learning design, and curriculum development. The successful recruit should excel at delivering training in multiple formats, such as lectures, role-playing exercises, simulations and on-the-job coaching. An AI instructor should also possess excellent communication skills and a thorough understanding of adult learning principles.
