Every AI model depends on labeled data. Data annotation is the process of tagging images, text, audio, or video so that ...

After helping build some of the world's most widely used open AI datasets at Hugging Face, Guilherme Penedo and Hynek ...

Uber Technologies Inc. has dismissed two tech leaders at its nascent AI data labeling business, shaking up a key division that the ride-hail company has positioned as a key growth driver.

Data is often described as the fuel of artificial intelligence (AI). As AI applications continue to expand, demand for high-quality datasets has risen alongside them, drawing attention to a relatively ...

LabelLLM introduces an innovative, open-source platform dedicated to optimizing the data annotation process integral to the development of LLM. Engineered with a vision to be a powerful tool for ...

The field of Intangible Cultural Heritage (ICH) preservation increasingly depends on multimodal data, ranging from motion ...

Innodata's INOD first-quarter 2026 results suggest that its improving profitability reflects more than just strong demand for ...

A huge hidden workforce is involved in data annotation, the raw material for every AI model. They must be made visible, ...

SunTec India completed a major data labeling initiative for a government-backed infrastructure consulting firm, processing more than 3 million annotations with sustained 99% accuracy. The dataset will ...

Physical AI raised $10B+ in 2025, but robots still train on under 5,000 hours of real-world data. Who's funding the race to ...

Abstract: With the rapid accumulation of text data produced by data-driven techniques, the task of extracting "data annotations"—concise, high-quality data summaries from unstructured raw text—has ...