SAN FRANCISCO, Nov. 05, 2025 (GLOBE NEWSWIRE) -- HumanSignal, creator of the industry’s most flexible open source data labeling platform, Label Studio, today announced the launch of HumanSignal ...
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The new gold rush: data labeling from home
The demand for labeled data has skyrocketed with the advancement of artificial intelligence technologies, leading to a new economic opportunity for remote workers. Often likened to a modern gold rush, ...
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Data Labeling Is the Hot New Thing in AI
Earlier this summer Meta made a US $14.3 billion bet on a company most people had never heard of before: Scale AI. The deal, which gave Meta a 49 percent stake, sent Meta’s competitors—including ...
The ride-hailing giant has reportedly offered AI “coders for hire” since at least November. Ride-hailing giant Uber is promoting its data labeling services to potential clients following Meta’s 49% ...
Data-labeling startup Surge Labs Inc. is hoping to capitalize on the recent customer exodus at its main rival Scale AI Inc., and to do that it’s reportedly seeking up to $1 billion in venture capital ...
Scale AI, which provides data-labeling services to companies that want to train machine learning models, has raised a $1 billion Series F round from big-name institutional and corporate investors that ...
Data labeling plays a pivotal role within the ever-expanding realm of AI. This intricate process involves the meticulous tagging and categorization of raw data, encompassing various formats such as ...
Uber Technologies Inc. has bought Belgian startup Segments.ai as the ride-hailing company seeks to expand its nascent data-labeling business. Bert De Brabandere and Otto Debals, the founders of Y ...
Crimson Phoenix has acquired Blackspoke to expand its capabilities in artificial intelligence-powered data labeling and geospatial intelligence. The Godspeed Capital Management-backed company said ...
Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra As LLMs have continued to improve, there has been some discussion in the industry about the continued need for standalone data labeling ...
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