"In recent years, leading artificial intelligence labs and startups have released AI software designed for tasks of ever-growing complexity, including solving PhD-level math problems, reasoning through complex questions step-by-step, and using tools like web browsers to carry out intricate tasks. The role of AI engineers in making that happen is well-documented- and often well-compensated. But less publicized is the role of a growing army of freelance experts, from physicists and mathematicians to photographers and art critics, enlisted by companies specialized in AI training, itself a multibillion-dollar industry."
"Those companies say human wisdom is essential to create sample problems, solutions, and grading rubrics that help AI improve its performance in a wide range of fields. "As long as AI matters, humans will matter," says Aakash Sabharwal, vice president of engineering at AI training company Scale AI."
"Scale AI recently made the news when Meta announced plans to invest $14.3 billion in the company-and hired away its then-CEO Alexandr Wang to lead a new "Superintelligence" lab focused on AI research. But the company remains a top player in the field, recruiting expert AI trainers in a wide variety of subjects and building digital environments Sabharwal compares to "flight simulators for AI," where humans can help machines learn everything from sending business emails to writing code."
Leading AI labs and startups have released software capable of solving PhD-level math, reasoning step-by-step, and using tools like web browsers to complete complex tasks. AI engineers play a major role in developing these systems and often receive high compensation. A substantial but less visible workforce of freelance experts—physicists, mathematicians, photographers, and art critics—is enlisted by specialized AI training companies. These experts create sample problems, solutions, and grading rubrics that guide machine learning. Companies like Scale AI build simulated digital environments to train models and recruit domain specialists, supporting AI performance across many practical tasks.
Read at Fast Company
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