Data Labelers

topic on 3 shows · 3 statements across 3 episodes

the MAD Podcast Big Technology 20VC

3 statements about Data Labelers, every show

Brown: AI evaluation requires domain experts, not 100,000 generalist labelers
“Our view is you don't need 100,000 of people. You need the smartest people in a given domain.”
Campbell Brown Aug 26, 2026 ▶ 24:27 How AI Should Handle News, Politics, Medicine, and Mental Health — With Campbell Brown
20VC Insight
Pineau: Simple data labeling is obsolete as AI requires complex tasks
“The days of like having data labelers who can say this is a cat and this is a dog or somewhat over like the easy test the AI can do. So we're getting in a space where we need more specialized tasks.”
Joelle Pineau Nov 3, 2025 ▶ 33:06 Cohere's Chief AI Officer, Joelle Pineau: Why Scaling Laws Will Continue & Future of Synthetic Data · 20VC with Harry Stebbings
MAD Assertion Not checkable as stated
Early AI startups with under $5M in funding hire 50 data labelers
“So, we'll have early stage companies, like companies with, like, you know, less than ten million dollars in funding, some of them less than five million dollars in funding, and they're hiring teams of 40 to 50 data labelers.”
Ash Fontana Nov 20, 2017 ▶ 19:33 The Evolution and Impact of AI // Ash Fontana, Zetta Venture Partners

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