With the rise in artificial intelligence (AI)-driven conversational chatbots capable of simulating human conversation, so comes the discussion about what the technology could mean for the average worker. Consequently, such advances are expected to sound the alarm on what impact chatbots — specifically, ChatGPT from OpenAI — will have on jobs.

Thanks to its ability to take on a variety of tasks in the workplace based on inputs and natural language processing, such as writing, researching, programming and problem-solving, many companies are expected to turn to the technology to take over these tasks.

But it’s not all bad news.

Reports suggest that although some jobs could potentially be in danger of this particular type of automation, with programmers and content creators potentially at the top of that list, there are also suggestions that ChatGPT could lead to the creation of high-paying jobs centered around this technology.

Follow along as GlobalSpec explores some of the job titles that are expected to emerge or grow in popularity in lockstep with development of chatbots.

Data labelers

One profession that is expected to thrive under the emergence of ChatGPT is data labeling. Data labeling is the process wherein raw data such as images, videos and text files are identified and subsequently labeled and classified, thereby adding to the data more informative labels to offer context so that a machine learning model can learn from it. For instance, an image featuring a tree would be labeled as such. Data labeling is crucial for use cases such as computer vision, natural language processing and speech recognition.

Further, data labelers are expected to label content for what it is — reviewing and classifying content as violent, prejudiced or sexually explicit, for instance, effectively teaching chatbots to be less toxic.

Prompt engineers

Prompt engineering is a new field of engineering to emerge alongside ChatGPT and other generative AI. The prompt engineer specializes in the development and optimization of AI-generated text prompts, thereby ensuring their accuracy and appropriateness.

Simply put, prompt engineers teach generative AI chatbots to do what the engineers want, by avoiding general or vague prompts that yield generic and vague responses. Instead, prompt engineers refine prompts to yield desired results.

Prompt engineers, unlike typical engineers, do not necessarily need technical backgrounds. Rather, this engineer should possess communication skills and organizational skills — so-called soft skills.

Machine learning engineers

Another profession expected to reap the benefits of emerging chatbots is the machine learning engineer.

A machine learning engineer researches, builds and designs AI systems for automating predictive models, which is a mathematical process used for predicting future events or outcomes via the analysis of patterns present in a given set of input data. Ultimately, machine learning engineers design and create the AI algorithms that are capable of learning and making predictions that define machine learning.

Ultimately, machine learning engineers are the ones who build chatbots like ChatGPT. As more and more companies demand this technology — to scale operations, automate tasks, integrate social media and engage users, for instance — the more in demand machine learning engineers will become.

AI trainers

Like prompt engineers, AI trainers teach chatbots to understand user prompts and queries, thereby training generative AI to return appropriate responses.

Specifically, the AI trainer, who is also known in some circles as the knowledge engineer or computational linguist, manages the data. The AI trainer reportedly collects and annotates data and subsequently builds the architecture for connecting that data.

AI ethicists

Put simply, an AI ethicist is responsible for the moral code of AI such as chatbots. This profession studies the ethical implications of AI as well as guides its development and use of technology with the goal of achieving this in both a responsible and ethical manner.

Essentially, this professional is tasked with improving the engineering approach to AI with the implementation of ethical guidelines and policies for the technology’s development and deployment.

Further, AI ethicists likely perform assessments of an AI system’s potential biases and ethical impacts as well as the unintended consequences of its use. This job title also ensures compliance with rules and regulations concerning AI as well as offers guidance to decision-makers.

As ChatGPT and other iterations of generative AI emerge, the landscape of virtually every profession can expect at least some changes. Check back with GlobalSpec for its ongoing coverage of this growing technology.

To contact the author of this article, email mdonlon@globalspec.com