Scale AI, the go-to data-labeling outfit for training AI models, is trimming about 14% of its staff (roughly 200 full-time employees and 500 contractors) just a month after Meta dropped a multibillion-dollar stake into the company. CEO Jason Droege admitted they’d “ramped up our GenAI capacity too quickly,” spawning inefficiencies, bureaucracy and confusion about the teams’ missions.
To sharpen its focus, Scale is reorganizing its generative-AI unit into five “impactful” pods (code, languages, experts, experimental and audio) and slimming down its go-to-market arm into a single demand-gen team. While certain GenAI projects will be deprioritized, Scale says it remains “well-resourced” and plans to boost hiring in enterprise and public-sector roles later in 2025.
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