---
variant: detail
kind: inputs
slug: cheap-expertise-expert-data-gig-economy
url: /inputs/cheap-expertise-expert-data-gig-economy
title: >-
  Cheap Expertise: Mapping and Challenging Industry Perspectives in the Expert
  Data Gig Economy
source_path: content/inputs/cheap-expertise-expert-data-gig-economy.md
frontmatter:
  title: >-
    Cheap Expertise: Mapping and Challenging Industry Perspectives in the Expert
    Data Gig Economy
  url: 'https://arxiv.org/abs/2605.03295'
  source: Robert Wolfe and Aayushi Dangol
  consumed: '2026-05-31T00:00:00.000Z'
  note: >-
    A CHIWORK 2026 paper arguing that demand for expert-annotated data has
    created an expert gig economy that may reshape white-collar work and
    society's understanding of expertise.
  tags:
    - ai
    - labor
    - expertise
    - gig-economy
agent_metadata:
  source_path: content/inputs/cheap-expertise-expert-data-gig-economy.md
  html_url: /inputs/cheap-expertise-expert-data-gig-economy
  markdown_url: /inputs/cheap-expertise-expert-data-gig-economy.md
  source_url: >-
    https://github.com/flaming-codes/thinkinglabs/blob/main/content/inputs/cheap-expertise-expert-data-gig-economy.md
  summary: >-
    The paper gives a precise name to a market that is otherwise scattered
    across platform copy: an expert data gig economy where professional judgment
    is brokered as training and evaluation signal for AI systems.
  word_count: 139
  approx_token_count: 260
  token_estimate: chars/4
---
The paper gives a precise name to a market that is otherwise scattered across platform copy: an expert data gig economy where professional judgment is brokered as training and evaluation signal for AI systems.