--- title: "Companies Just Learned a Brutal Lesson About Training AI to Do Human Jobs" description: "A company hiring desperate job-seekers to train their AI model replacements was hacked, triggering five separate lawsuits." date: "2026-04-15" modified: "2026-04-15" authors: - name: "Victor Tangermann" job_title: "Senior Editor" link: "https://futurism.com/authors/victor" url: "https://futurism.com/artificial-intelligence/mercor-training-ai-human-jobs-hack" categories: - "Artificial Intelligence" - "Cybersecurity" - "Data Privacy" - "Ethics" - "Future Society" - "Hacking" --- # Companies Just Learned a Brutal Lesson About Training AI to Do Human Jobs ![A company hiring desperate job-seekers to train their AI model replacements was hacked, triggering five separate lawsuits.]() *Getty / Futurism* A dismal job market has given rise to a grim new cottage industry: a buzzy San Francisco-based AI company called Mercor is [hiring desperate job-seekers]() to train AI models to do the work they can't get hired for anymore. The company has been recruiting educated and underemployed experts while keeping them fully in the dark about whose AI they're even training. As [*New York Magazine* reported last month](), shifts are also crushingly long, the vast majority of managers are young and inexperienced, and contracts often end abruptly without any prior warning. Now, companies that hired Mercor — which include OpenAI and Anthropic, according to *NYMag*'s reporting — have learned a rude lesson: Mercor revealed late last month that it had been hacked, again shedding light on Silicon Valley's extremely [fragile and contractor-dependent AI supply chain](). The startup [told *TechCrunch*]() that it was affected by an exploit linked to an open source project called LiteLLM. A sample of data allegedly stolen from Mercor reviewed by the publication included material referencing Slack data and videos purportedly showing conversations between Mercor's AI systems and its hired workers — meaning that the theft very likely exposed sensitive information from the companies that hired Mercor to train their AI systems. "We are conducting a thorough investigation supported by leading third-party forensics experts," a Mercor spokesperson told *TC*. "We will continue to communicate with our customers and contractors directly as appropriate and devote the resources necessary to resolving the matter as soon as possible." The situation is looking bleak. Contractors have since filed five lawsuits against the startup, as [*Business Insider* reported]() last week, accusing it of violating data privacy and consumer protection laws. The suits allege Mercor could've leaked highly sensitive data, including Social Security numbers or addresses, to bad actors. While it's not uncommon for companies to be sued following major data leaks, the latest development once again highlights the dangers of relying on an army of underpaid and overworked contractors to train extremely valuable AI models. Mercor's corporate clients are clearly nervous as well. Meta has officially pausing all work with Mercor during its own investigation into the security incident, as [*Wired* reported earlier this month](). However, it's likely not for any concerns over the wellbeing of the gig workers who are being exploited. The biggest worry for companies like Meta or Mercor is losing their competitive edge by exposing the ways they train their AI models to other AI labs. It's far from the first time Mercor has fallen foul with the extensive line of highly educated workers it relies on. Even before the latest hack, Mercor was hit with three class-action lawsuits over the past seven months, per *NYMag*, with plaintiffs accusing it of relying on independent contractors, who have little to no agency at the company, let alone insight into the work they do. In November, contractors also accused the startup of firing them, [only to be offered work on a different project]() — but at a much lower hourly rate. **More on Mercor:** [*AI Companies Are Treating Their Workers Like Human Garbage, Which May Be a Sign of Things to Come for the Rest of Us*]() ## Author I've been at Futurism since 2017, where my role has evolved to encompass design, writing, and increasingly editing. I've always been fascinated by space exploration and advanced transportation, which I've leaned into by interviewing luminaries in those fields while closely following the dimensions of policy and regulation that allow next-generation projects to succeed -- or, sometimes, to fail. I'm also keenly interested in the effects of generative AI on society, policies, and democratic institutions, as well as clean energy, physics and biology, and the vagaries of tech leadership. My work for Futurism has been cited by publications including Ars Technica, Gizmodo, PC Magazine, Jalopnik, Fox News, and the New York Post. I spent my childhood living in locations including Manila, the Philippines, and Geneva, Switzerland, attended McGill University, and now live in Toronto, Canada. Before Futurism I worked at AskMen and a small photography studio. In my free time, I'm an avid gardener, foodie, and craft beer lover, as well as a maker of artisanal hot pepper sauces. I have a magnificent dog named Freida. ### Author social links [Bluesky]()