Snorkel AI raises $350 million to expand data for teaching AI
On September 22, Snorkel AI announced $350 million in funding to expand expert-created tasks, environments and evaluation criteria for AI.
Longer jobs require practice that tests intermediate decisions, not just final answers.
Our analysis
A new role for people who can explain practical judgment
Our view is that expertise may expand from solving problems to designing useful problems for AI. A returns specialist can test how an assistant handles conflicting accounts, rather than merely checking whether it memorized policy.
Work that is easy to turn into lessons may automate first. People who can express overlooked exceptions and human concerns could influence adoption as much as model developers.
How could everyday life change?
The following is a possible future based on this news.
Experience could travel beyond one workplace
Imagine a retiring shop manager turning difficult customer cases into practice tasks. An AI trained on that experience could help another small shop draft replies, while new staff learn which questions matter.
This is our future scenario. Paying contributors and removing customer information could turn years of practical knowledge into income and learning opportunities.
