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Future-Proofing Your Workforce: 8 Jobs AI Will Create

AI mimics many of the processes that happen in the human mind, enabling computers, robots and other high-tech devices to perform a wide range of tasks. Due to recent advancements in the field, many companies are turning to AI tools to increase accuracy, improve efficiency and reduce their expenses.

The growing use of AI will likely make some jobs obsolete, but it will also create new opportunities for people with advanced technical skills. Learn more about the jobs AI will likely create in the next decade so you can stay ahead of the curve with your hiring.

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What jobs will AI create? 8 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. Bias analyst

AI has many potential benefits, such as the ability to reduce unconscious bias from the hiring process. In simple terms, unconscious bias is a set of assumptions that influence the way you feel about other people. For example, if you interview a candidate who shares several of your interests, you may make positive assumptions about their work ethic or abilities.

Some forms of unconscious bias are harmful, as they make it more difficult for members of certain groups to get hired, qualify for promotions or earn well-deserved pay increases. If an AI trainer has harmful beliefs about other people, they may transfer those beliefs to an AI algorithm, causing the algorithm to make biased decisions instead of eliminating unconscious bias.

Therefore, your company may need to hire a bias analyst to review datasets and ensure they don’t contain biased training data. Consider looking for applicants with advanced degrees in ethics or AI, experience identifying bias and strong communication skills. A bias analyst may have to discuss sensitive topics with key stakeholders, so the person you hire should also excel at active listening.

Read more: Is Unconscious Bias Affecting Your Hiring?

3. 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 want to also 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.

4. 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 behavior 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.

Related: How to Hire a UX Designer

5. 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 optimizing 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.

6. 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 normalization. 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.

7. 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.

8. 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.

Related: How to Create an Effective Employee Training and Development Program

Frequently asked questions

What jobs are most at risk from AI?

Some jobs have much higher exposure to AI than others, making them more likely to be eliminated as companies adopt AI technology. For example, AI tools are capable of analyzing data, so any job involving data analysis may be eliminated or updated to integrate new technologies. Although it’s not possible to predict the future with 100% accuracy, it’s likely that jobs involving data entry and basic research may also be replaced by AI.

What jobs will AI replace in 10 years?

Over the next 10 years, AI will likely replace (or take over some of the responsibilities of) several jobs, including data entry clerk, budget analyst, tax preparer, proofreader and web developer. These roles may have a high level of AI risk because they often involve tasks that AI tools can perform. For example, an AI algorithm may be able to analyze financial documents and use them to prepare state or federal tax returns.

Read more: Jobs of the Future: Emerging Trends in Artificial Intelligence

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