“It doesn't give a s*** about Arabic or English”: Semiotic ideologies and demarcation among <scp>LLM</scp> engineers in Amman, Jordan

Abstract This article analyzes how engineers in Amman, Jordan involved in making large language models (LLMs) conceptualize their labor in relation to language and technology. Specifically, it focuses on claims that LLMs are “language‐agnostic,” relying on multidimensional word embeddings rather than language. I examine how articulations of this ideology allow engineers to reconcile and ascribe value to their work in a transnational AI industry predicated on the division of labor between “universal” model building and localization. Examining the reproduction of this framework, alongside the invisibilization of linguistic labor it necessitates, reveals how representational ideologies structure both LLMs and the labor systems underpinning them.

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Publication Details

Journal
Journal of Linguistic Anthropology
Published
2026-01-05
DOI
https://doi.org/10.1111/jola.70039
Primary Topic
Multilingual Education and Policy
Type
article
Field-Weighted Citation Impact
0.00

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article

“It doesn't give a s*** about Arabic or English”: Semiotic ideologies and demarcation among LLM engineers in Amman, Jordan

Tariq Adely
Journal of Linguistic Anthropology
Multilingual Education and Policy
article

“It doesn't give a s*** about Arabic or English”: Semiotic ideologies and demarcation among LLM engineers in Amman, Jordan

Tariq Adely
article en

Abstract

Abstract This article analyzes how engineers in Amman, Jordan involved in making large language models (LLMs) conceptualize their labor in relation to language and technology. Specifically, it focuses on claims that LLMs are “language‐agnostic,” relying on multidimensional word embeddings rather than language. I examine how articulations of this ideology allow engineers to reconcile and ascribe value to their work in a transnational AI industry predicated on the division of labor between “universal” model building and localization. Examining the reproduction of this framework, alongside the invisibilization of linguistic labor it necessitates, reveals how representational ideologies structure both LLMs and the labor systems underpinning them.

Journal of Linguistic AnthropologyVol. 36(1)
George Washington University (US)
National Science Foundation
Decent work and economic growth
Openalex Percentile: Top 97%
Multilingual Education and Policy
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