Workers are getting paid to teach AI how to do their jobs - CBS News

2026-05-14 · Source: artifical intelligence via Google News · Field: Business & Management — Human Resources & Workforce Development, Operations & Process Management, Entrepreneurship & Start-ups · Depth: Fundamental Awareness, short

Summary

Leading generative AI developers are actively recruiting individuals across diverse professional backgrounds, from Hollywood screenwriters to medical professionals, to enhance the intelligence and capabilities of their large language models (LLMs). This hiring surge, driven by the need for fine-tuning and reinforcement as models consume available data, is creating a rapidly expanding job category. Companies like Mercor and Handshake AI are facilitating these roles, with Mercor reporting an average pay of $105 per hour for AI training jobs, though specialized roles like psychiatry experts can earn up to $350 per hour. These trainers, often working under non-disclosure agreements, provide expert input to teach AI deeper reasoning, improve creative writing, and prevent "hallucinations," addressing concerns about AI's impact on future employment by advocating for expert-guided development.

Key takeaway

For CTOs and VPs of Engineering evaluating AI development strategies, recognize that human-in-the-loop training with domain experts is not merely an option but a critical component for achieving robust, reliable, and specialized AI models. Your teams should prioritize integrating expert-led fine-tuning processes to move beyond general capabilities and ensure your AI solutions deliver accurate, contextually relevant, and high-quality outputs, mitigating risks of factual errors and poor reasoning.

Key insights

Expert human input is crucial for fine-tuning large language models to improve reasoning, creativity, and factual accuracy.

Principles

• AI models require continuous human-led refinement.
• Domain expertise is critical for effective AI training.

Method

AI training involves human experts evaluating model outputs, designing scenarios, and providing feedback to teach deeper reasoning and domain-specific knowledge, often through roles like creative writers or litigators.

In practice

• Consider AI training roles for supplemental income.
• Apply domain expertise to improve AI model performance.

Topics

• AI Training
• Large Language Models
• Generative AI Development
• Human-in-the-Loop AI
• Job Market Evolution

Best for: CTO, VP of Engineering/Data, Director of AI/ML, Domain Expert, AI Ethicist, General Interest

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Editorial summary, takeaway, and curation by AIssential. Original article published by artifical intelligence via Google News.