Since ChatGpt was launched two years ago, AI has shaped how we live, learn and work. But while AI appears to have answers to almost every question, it’s not perfect. From the awkward answer to strange hallucinations, AI models are still about relying on human judgment to get things right. The need to turn into an incredible way to make money. Fix AI errors. Throughout the US, freelancers, especially university graduates, are making money by teaching AI to think like humans.
For years, people have been worried that AI will replace work. But we see that AI needs humans more than we thought. Behind every refined AI response is someone who refines its accuracy, fixes hallucinations, and ensures that the answer actually makes sense.
This is not about losing your job to the machine, it is a job that changes your job. AI is creating new kinds of works where human skills, like judgment, creativity and expertise, are important. The future may not be a battle between humans and machines, but a collaboration in which each strengthens each other.
Fixing the wrong answer for AI is a fuss of growing aspects for university alumni and freelancers
That’s where the sex scenes on this side appear. Platforms like Outlier, owned by Scale AI, are opening the door for people to train AI models. It’s about correcting mistakes and leading AI to respond in a way that feels natural. What used to be a technical problem is now a new way to make money from home. As Forbes reports, the growing demand for freelancers to fix AI mistakes is quickly becoming one of the hottest gig opportunities.
For example, Scott O’Neill of Covington, Louisiana has two completely different jobs. Every day, he handles the sale of plumbing. This is especially busy when cold snaps freeze pipes. “It was very busy – a freeze broken pipe,” he told Forbes. But at night, O’Neal works on AI, working on the evaluation and revision responses of Scale AI, a company worth $14 billion. His work helps models like ChatGpt produce better answers.
How AI Training actually works
O’Neal’s tasks vary depending on the day. Sometimes he checks whether the AI response is accurate and natural. Otherwise, he chooses the better answers generated for the two AIs, or rewrites them completely if both are missing. His background in web development makes him between $300 and $1,000 a week, depending on how many hours he takes.
He is one of many freelancers working on Outlier. The platform connects people with paid tasks to help train AI models for businesses such as Google, Meta, Openai and more. The Outlier was released in 2023 shortly after chatgpt sparked global excitement about AI.
Why AI still needs human input
AI models such as Google’s Gemini and Meta’s Llama can generate everything from email drafts to coding solutions. However, the ability to sound smart depends on the time of human tweaking. Those who like O’Neal Rate AI responses will rule out inappropriate content and check for accuracy.
As AI systems become more advanced, they still rely on people with specialized skills. According to Scale AI, 87% of Outlier contractors have university degrees. Of these, 48% have a bachelor’s degree, 27% have a master’s degree and 12% have a. These freelancers bring expertise from creative writing to advanced mathematics and high-level coding.
Why Scale AI Focuses on US Workers
Scale AI is putting a big bet on American talent. Instead of outsourcing, it has built a network of contributors in 9,340 towns in the US, including major cities such as Houston, Chicago, Los Angeles, New York City and Atlanta. But the reach doesn’t stop there. Smurer towns like Rexburg, Idaho and Lake Mary, Florida are also part of the mix. Approximately 19% of Outlier contractors are based in rural areas.
Scale scales pitch outliers as the next step in gig work, providing flexibility such as driving an Uber or delivering with postmates, but also providing comfort in home. Uber itself launched its own data labeling platform, Scaled Solutions.
The challenges behind growth
Scale AI is not without criticism. Despite its annual revenues reaching $1 billion as of September, the company is facing a backlash. Over the past few months, at least three lawsuits have been filed by outlier contractors, denies poor working conditions, lack of mental health support and wage theft. These are common concerns raised against high-tech companies that rely heavily on contract workers.
Still, the demand for human surveillance with AI will not go away. AI may be smart, but still, it needs people to guide it. And for those who want to make extra cash, correcting AI mistakes may be one of the most unexpected side jobs that have emerged in recent years.
For a detailed analysis, check out the Richard Nieva video below.
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