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 ...

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

Today, frontier AI labs such as OpenAI and Anthropic are among its biggest and most strategically important customers. These companies need vast amounts of data to train foundation models. But that is ...

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 ...

Two weeks ago, OpenAI said it would relaunch the robotics program it shuttered in 2021 — the latest signal that the biggest AI labs are racing to teach machines to operate in the physical world. But ...

As AI continues to advance, infrastructure must evolve to enable access and delivery of real-time information at scale.

Uber's AI training division, reportedly paying up to $150/hour for Google AI projects, has left contractors facing unpredictable zero-hour weeks and no training. Despite lucrative initial offers, ...

Thirty years of growth in outsourced tech services has transformed India's economy. However, AI's expansion is forcing the tech sector to evolve. The FT's Krishn Kaushik investigates whether data anno ...

AI companies need human expertise to build better models, and graphic designers are in a stronger position to provide th ...

Every day, billions of people rely on technologies from Google, Meta, Microsoft, Amazon and Apple to navigate the world. We use them to communicate, work, shop, find information and stay entertained.

Automation reduces costs, but human oversight protects quality, trust, and brand reputation. Why the highest-performing teams are redesigning human input, not eliminating it.