Advanced human trainers in demand for AI

Companies offer advanced AI training, including quantum physics.

AI models are increasingly relying on human trainers with specialised knowledge to reduce errors and improve accuracy.

AI models, including ChatGPT and Cohere, once depended on low-cost workers to perform basic fact-checking. Today, these models require human trainers with specialised knowledge in fields like medicine, finance, and quantum physics. Invisible Tech, one of the leading companies in this space, partners with major AI firms to reduce errors in AI-generated outputs, such as hallucinations, where the model provides inaccurate information.

Invisible Tech employs thousands of remote experts, offering significant pay for high-level expertise. Advanced knowledge in subjects like quantum physics can command rates as high as $200 per hour. Companies like Cohere and Microsoft are also leveraging these trainers to improve their AI systems.

This shift from basic fact-checking to advanced training is vital as AI models like ChatGPT continue to face challenges in distinguishing between fact and fiction. The demand for human trainers has surged, with many AI firms competing to reduce errors and improve their models.

With this growth, companies such as Scale AI and Invisible Tech have established themselves as key players in the industry. As AI continues to evolve, more businesses are emerging, catering to the increasing need for human expertise in AI training.