PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 12, 2026Big Data & Society2 citationsOpen Access

From planetary to state-embedded AI stacks: The re-territorialisation of China's data annotation industry

View Full Paper
PFPengfei FuJLJ X C Lin

Key Points

  • The research aims to explore how data annotation in China is shifting from global outsourcing to state-regulated frameworks.
  • Conducted multi-sited ethnography to gather insights from various stakeholders in the data annotation industry.
  • Analyzed the impact of state regulations and market pressures on the organization of data annotation.
  • Examined the experiences of workers within the formalised data annotation landscape.
  • Re-territorialisation embeds annotation work in state infrastructures, enhancing data security and sovereignty.
  • Competitive market forces lead to standardised tasks and specialisation in the data annotation processes.
  • Formalisation offers some job legitimacy but increases surveillance and limits worker autonomy.

Abstract

Existing research has characterised data annotation as invisible and precarious digital labour, typically outsourced through global crowd-work platforms. In China, rather than being outsourced through transnational crowd-work platforms, it has been re-territorialised into state-regulated infrastructures and increasingly integrated into conventional employment models. Drawing on multi-sited ethnography, this paper examines how the formalisation of data annotation in China unfolds through intersecting state, market, and worker logics: a process of reterritorialisation that selectively formalises the organisation of the data annotation industry. At the state level, credentialisation schemes, regulatory measures, and the establishment of national data hubs embed annotation into infrastructures of data security and sovereignty. At the market level, competitive pressures for accuracy and efficiency drive procedural standardisation, task specialisation, and spatial reorganisation. At the worker level, formalisation provides contractual recognition and a sense of legitimacy, yet also entrenches surveillance, constrained autonomy, and limited career mobility. These dynamics suggest that formalisation of data annotation in China does not represent a linear transition from informality to stability, but rather a selective and layered incorporation of labour into institutional frameworks. Conceptually, we argue that this trajectory signals a shift from a deterritorialised planetary stacking order toward a reterritorialised state-embedded AI stacks.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Fu et al. (2026) studied this question.

synapsesocial.com/papers/698d6eca5be6419ac0d54a10https://doi.org/10.1177/20539517261421470
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Hidden Labor in Chinese-Contracted AI Training: Data Annotation Workers in Cross-Border Outsourcing Networks2026
  2. 2Discipline and Label: A WEIRD Genealogy and Social Theory of Data Annotation2024 · 3 citations
  3. 3Essential Yet Erased: The Feminization and Devaluation of Data Training Labor in Healthcare Artificial Intelligence2026
  4. 4Making Data Work Count2024 · 22 citations
  5. 5Reordering Labour Rights Under Compound Pressure: Algorithmic Management, Mediated Autonomy, and Legal Innovation in China2026