By the first quarter of 2026, the total number of full-time and part-time labeled staff in Longsha headquarters and several regional branches had officially broken 800. The data show that the team had increased its delivery efficiency by more than 35 per cent, with an average accuracy of 99.5 per cent, in complex tasks such as autopiloting 4D labels, large language models, RLHF (human feedback for enhanced learning) and medical radiation mapping.
Rang Huitech completes 800+ professional marking team formation
AI Summary
Chang Shalom Tech recently announced that it has successfully formed a professional-level AI team of over 800 people, covering areas such as medical imagery, smart driving, industrial quality checks, etc. The talent system is designed to provide both a scaled and professional bottom-up support for the pre-training phase of large models. By introducing rigorous access training and a full-cycle quality control system, Longhuitech has taken up new steps in the engineering down-site capability of the AI data service.
Frequently Asked Questions (FAQ)
How do teams of 800 people ensure consistency in their markings?
The company has developed a detailed Manual of Marking Norms and built on the automated quality check module of the LangData platform to ensure consistency of output results through the triple mechanism of “two-person cross-marking + final-review expert sample”.
Does the team cover multilingual labelling skills?
Specialized small language text analysis teams have been established to handle machine translation evaluation and emotional analysis tasks in the main foreign languages, such as English, Japanese and French.
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Changsha Langhui Information Technology Co., Ltd.
Phone +86 137-5502-0164
Email lk@langhuiai.com
Site www.langhuiai.com/en · Full contact page
Phone +86 137-5502-0164
Email lk@langhuiai.com
Site www.langhuiai.com/en · Full contact page