What jobs will AI create? 7 examples
1. AI trainer
Like humans, AI tools need training before they can perform new tasks. As a result, you may find yourself hiring at least one AI trainer. This job involves choosing data inputs and giving AI algorithms a chance to learn new skills. AI trainers may also validate data annotations and check the output of each AI tool to make sure it’s accurate.
If you need to hire a data trainer, consider looking for someone comfortable performing quality assurance activities, as data validation and verification are often a big part of the job. The role of an AI trainer also requires advanced technical skills.
2. Personality designer
If you’ve ever had to deal with a chatbot that doesn’t understand your questions or provide helpful answers, then you know how important it is to develop 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 goals.
Like other jobs created by artificial intelligence, this role typically requires advanced technical skills. You may also want to look for someone who has 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 required skills.
3. AI experience designer
Although the 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, consider looking for someone 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 get your desired output, you must enter a prompt with specific parameters. The better your prompt, the more relevant the output. Prompt engineers are charged with creating AI prompts, testing them and updating them as necessary to meet a company’s goals. A prompt engineer may also be responsible for optimising prompts.
This role requires a great deal of creativity, as a prompt engineer must be able to anticipate users’ needs and come up with innovative ways to meet them. Prompt engineers must also typically know how to use Python and other programming languages.
5. Data curator
Data curators are responsible for gathering data, entering it into AI algorithms and making sure it’s assigned to the correct categories. This makes it easier for AI users to get the output they need. A data curator also edits or enhances data, ensuring that their AI algorithms are always working with the most current information.
A quality candidate for this role is someone who understands the basic principles of data management, knows how to 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 and related fields. An AI data curator must also have excellent attention to detail.
6. AI-generated content reviewer
Some companies are now using AI tools to write blog posts, white papers and other types of content. Although AI tools understand basic grammar rules, they don’t necessarily understand your company culture or target market. Therefore, businesses still need humans to review AI-generated content. This role involves correcting errors, ensuring that each piece of content conforms to your brand’s style guidelines, and aligning AI-generated content with your company’s goals.
If you hire a content reviewer, consider looking for someone with extensive experience in copywriting, marketing or a related field. Your new hire should have excellent writing skills and strong attention to detail. It’s also helpful to hire someone with experience following corporate style manuals or editing content according to stringent guidelines.
7. AI instructor
Thanks to all the new jobs created by AI, there’s a good chance you’ll need to hire at least one AI instructor in the near future. An AI instructor is different from an AI trainer, as each role has a different target audience. AI trainers work with artificial intelligence tools, while AI instructors teach humans how to use AI. When you adopt a new AI tool, your AI instructor can hold training sessions, conduct product demos and perform other tasks to ensure that everyone understands how to use the tool to be more productive.
This job is a good fit for candidates with experience in training, e-learning design and curriculum development. Your new hire should excel at delivering training in several formats, such as lectures, role-playing sessions, simulations and on-the-job training. An AI instructor should also have excellent communication skills and in-depth knowledge of the principles of adult learning.
