The logo of generative AI chatbot ChatGPT, which is owned by Microsoft-backed company OpenAI.
CFOTO | Future Publishing via Getty Images
Artificial intelligence might be driving concerns over people’s job security — but a new wave of jobs are being created that focus solely on reviewing the inputs and outputs of next-generation AI models.
Since Nov. 2022, global business leaders, workers and academics alike have been gripped by fears that the emergence of generative AI will disrupt vast numbers of professional jobs.
Generative AI, which enables AI algorithms to generate humanlike, realistic text and images in response to textual prompts, is trained on vast quantities of data.
It can produce sophisticated prose and even company presentations close to the quality of academically trained individuals.
That has, understandably, generated fears that jobs may be displaced by AI.
Morgan Stanley estimates that as many as 300 million jobs could be taken over by AI, including office and administrative support jobs, legal work, and architecture and engineering, life, physical and social sciences, and financial and business operations.
But the inputs that AI models receive, and the outputs they create, often need to be guided and reviewed by humans — and this is creating some new paid careers and side hustles.
Getting paid to review AI
Prolific, a company that helps connect AI developers with research participants, has had direct involvement in providing people with compensation for reviewing AI-generated material.
The company pays its candidates sums of money to assess the quality of AI-generated outputs. Prolific recommends developers pay participants at least $12 an hour, while minimum pay is set at $8 an hour.
The human reviewers are guided by Prolific’s customers, which include Meta, Google, the University of Oxford and University College London. They help reviewers through the process, learning about the potentially inaccurate or otherwise harmful material they may come across.
They must provide consent to engage in the research.
One research participant CNBC spoke to said he has used Prolific on a number of occasions to give his verdict on the quality of AI models.
The research participant, who preferred to remain anonymous due to privacy concerns, said that he often had to step in to provide feedback on where the AI model went wrong and needed correcting or amending to ensure it didn’t produce unsavory responses.
He came across a number of instances where certain AI models were producing things that were problematic — on one occasion, the research participant would even be confronted with an AI model trying to convince him to buy drugs.
He was shocked when the AI approached him with this comment — though the purpose of the study was to test the boundaries of this particular AI and provide it with feedback to ensure that it doesn’t cause harm in future.
The new ‘AI workers’
Phelim Bradley, CEO of Prolific, said that there are plenty of new kinds of “AI workers” who are playing a key role in informing the data that goes into AI models like ChatGPT — and what comes out.
As governments assess how to regulate AI, Bradley said that it’s “important that enough focus is given to topics including the fair and ethical treatment of AI workers such as data annotators, the sourcing and transparency of data used to build AI models, as well as the dangers of bias creeping into these systems due to the way in which they are being trained.”
“If we can get the approach right in these areas, it will go a long way to ensuring the best and most ethical foundations for the AI-enabled applications of the future.”
In July, Prolific raised $32 million in funding from investors including Partech and Oxford Science Enterprises.
The likes of Google, Microsoft and Meta have been battling to dominate in generative AI, an emerging field of AI that has involved commercial interest primarily thanks to its frequently floated productivity gains.
However, this has opened a can of worms for regulators and AI ethicists, who are concerned there is a lack of transparency surrounding how these models reach decisions on the content they produce, and that more needs to be done to ensure that AI is serving human interests — not the other way around.
Hume, a company that uses AI to read human emotions from verbal, facial and vocal expressions, uses Prolific to test the quality of its AI models. The company recruits people via Prolific to participate in surveys to tell it whether an AI-generated response was a good response or a bad response.
“Increasingly, the emphasis of researchers in these large companies and labs is shifting towards alignment with human preferences and safety,” Alan Cowen, Hume’s co-founder and CEO, told CNBC.
“There’s more of an emphasize on being able to monitor things in these applications. I think we’re just seeing the very beginning of this technology being released,” he added.
“It makes sense to expect that some of the things that have long been pursued in AI — having personalised tutors and digital assistants; models that can read legal documents and revise them these, are actually coming to fruition.”
Another role placing humans at the core of AI development is prompt engineers. These are workers who figure out what text-based prompts work best to insert into the generative AI model to achieve the most optimal responses.
According to LinkedIn data released last week, there’s been a rush specifically toward jobs mentioning AI.
Job postings on LinkedIn that mention either AI or generative AI more than doubled globally between July 2021 and July 2023, according to the jobs and networking platform.
Reinforcement learning
Meanwhile, companies are also using AI to automate reviews of regulatory documentation and legal paperwork — but with human oversight.
Firms often have to scan through huge amounts of paperwork to vet potential partners and assess whether or not they can expand into certain territories.
Going through all of this paperwork can be a tedious process which workers don’t necessarily want to take on — so the ability to pass it on to an AI model becomes attractive. But, according to researchers, it still requires a human touch.
Mesh AI, a digital transformation-focused consulting firm, says that human feedback can help AI models learn mistakes they make through trial and error.
“With this approach organizations can automate analysis and tracking of their regulatory commitments,” Michael Chalmers, CEO at Mesh AI, told CNBC via email.
Small and medium-sized enterprises “can shift their focus from mundane document analysis to approving the outputs generated from said AI models and further improving them by applying reinforcement learning from human feedback.”
Musk, the world’s richest person, started going after Navarro over the weekend, posting on X that a “PhD in econ from Harvard is a bad thing, not a good thing,” a reference to Navarro’s degree. Whatever subtlety remained at the beginning of the week has since vanished.
On Tuesday, Musk wrote that “Navarro is truly a moron,” noting that his comments about Tesla being a “car assembler,” as much are “demonstrably false.” Musk called Navarro “dumber than a sack of bricks,” before later apologizing to bricks. Musk also called Navarro “dangerously dumb.”
Musk’s attacks on Navarro represent the most public spat between members of President Trump’s inner circle since the term began in January, and show that the steep tariffs announced last week on more than 180 countries and territories don’t have universal approval in the administration.
When asked about the feud in a briefing on Tuesday, White House press secretary Karoline Leavitt said, “Look, these are obviously two individuals who have very different views on trade and on tariffs.”
“Boys will be boys, and we will let their public sparring continue,” she said.
For Musk, whose younger brother Kimbal — a restaurant owner, entrepreneur and Tesla board member — has joined in on the action, the name-calling appears to be tied to business conditions.
Tesla’s stock is down 22% in the past four trading sessions and 45% for the year. Tesla has lost more tha $585 billion in value since the calendar turned, equaling tens of billions of dollars in paper losses for Musk, who is also CEO of SpaceX and the owner of xAI and social network X.
Even before President Trump detailed his plan for widespread tariffs, he’d already placed a 25% tariff on vehicles not assembled in the U.S. Many analysts said Tesla could withstand those tariffs better than competitors because its vehicles sold in the U.S. are assembled domestically.
But the company’s production costs are poised to increase because of the tariffs on materials and parts from foreign suppliers. Canada and Mexico are among the leading sources of U.S. steel imports, and Canada is the nation’s largest supplier of aluminum, while China and Mexico are home to major suppliers of printed circuit boards to the automotive industry.
At a recent an event hosted by right-wing Italian Deputy Prime Minister Matteo Salvini, Musk said, “Both Europe and the United States should move, ideally, in my view, to a zero-tariff situation, effectively creating a free trade zone between Europe and North America.”
Musk, whose view on trade relations with Europe stands in stark contrast to the policies implemented by the president, has a vested interest in the region. Tesla has a large car factory outside of Berlin, and the European Commission previously turned to SpaceX for launches.
Even before the tariffs, Tesla’s business was faltering. Last week, the company reported a 13% year-over-year decline in first-quarter deliveries, missing analysts’ estimates. That report that landed days after Tesla’s stock price wrapped up its worst quarter since 2022.
Musk, who spent roughly $290 billion to help return Trump to the White House, is now leading the Department of Government Efficiency, or DOGE, which has slashed costs, eliminated regulations and cut tens of thousands of federal jobs. In the first quarter, Tesla was hit with waves of protests, boycotts and some criminal activity that targeted vehicles and facilities in response to Musk’s political rhetoric and his work in the White House.
Satya Nadella, CEO of Microsoft, laughs as he attends a session at the World Economic Forum in Davos, Switzerland, on Jan. 23, 2020.
Denis Balibouse | Reuters
Apple‘s 23% plunge over the past four trading sessions has again turned Microsoft into the world’s most valuable public company.
As of Tuesday’s close, Microsoft is worth $2.64 trillion, while Apple’s market cap stands at $2.59 trillion.
While the market broadly is getting hammered by President Donald Trump’s sweeping tariff plan, Apple is getting hit the hardest among tech’s megacap companies due to the iPhone maker’s reliance on China.
The Nasdaq is down 13% over the past four trading days, as President Trump’s decision to impose tariffs on imports from more than 100 countries has sparked fears of a recession brought on by rising prices. UBS analysts on Monday predicted that the price of the iPhone 16 Pro Max could jump as much as $350 in the U.S.
Both Apple and Microsoft, along with chipmaker Nvidia, were previously valued at upward of $3 trillion before the recent sell-off.
In January, Microsoft issued disappointing revenue guidance. Nevertheless, last week, as Jefferies analysts reduced their price targets on many software stocks, they wrote Microsoft was among the “companies who we view as more insulated” from tariff uncertainty.
Technology stocks bounced Tuesday after three rocky trading sessions, spurred by rising optimism that President Donald Trump could potentially negotiate tariff deals with world leaders.
The sector is coming off a wild trading session after speculation that the White House could potentially delay tariffs fueled volatile swings. Alphabet, Meta Platforms, Amazon and Nvidia finished higher, while Apple, Microsoft and Tesla posted losses.
Trump’s wide-sweeping tariff plans have sparked violent turbulence over the last three trading sessions. Trading volume on Monday hit its highest in nearly two decades. Technology stocks gyrated after the Nasdaq Composite posted its worst week in five years and the Magnificent Seven group lost $1.8 trillion in market value over two trading sessions.
Chipmakers were excluded from the recent tariffs, but have come under pressure on worries that higher duties could diminish demand for products they are used in and slow the economy. The sector is also expected to see tariffs further down the road.
Elsewhere, Broadcom surged 9% after announcing a $10 billion share buyback plan through the end of the year. Marvell Technology also bounced more than 9% after agreeing to sell its auto ethernet business for $2.5 billion in cash to Infineon Technologies.