An AI Lead shares their experience, noting that the majority of their time was dedicated to data labeling rather than model development. This contrasts with the common perception that AI roles primarily focus on advanced modeling techniques and infrastructure. The author highlights the critical, yet often overlooked, importance of high-quality data preparation in the AI lifecycle. AI
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IMPACT Highlights the significant, often underestimated, effort required for data labeling in AI projects, suggesting a need for better resource allocation and expectation management.
RANK_REASON The article is a personal reflection on an AI role, offering an opinion on the time allocation between data labeling and model development.
