From Data Labeling to Knowledge Engineering

[cryptobro]

AI training is evolving fast. What used to be basic data labeling has turned into highly specialized, high-paying work requiring deep expertise—even postgraduate knowledge in some cases. Contractors are now building complex, real-world scenarios that help AI models understand not just information, but how work actually gets done.

This transformation reflects a broader trend: AI is learning workflows, not just facts. From drafting medical reviews to managing payroll systems, these tasks are shaping how AI interacts with entire industries. The future of AI isn’t just smarter answers—it’s a system that understands the structure of work itself.

[madtrader]

the reliance on highly skilled contractors suggests a growing market for “training expertise” as a new form of labor

[bonk]

love how “training ai” now just means doing the job manually but with extra steps