HOLLYWOOD ENDING.

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Bibliographic Details
Title: HOLLYWOOD ENDING.
Authors: FOWLER, RUTH (AUTHOR)
Source: Wired. Jul/Aug2026, Vol. 34 Issue 4, p36-45. 10p. 10 Color Photographs.
Subjects: Job classification, Abuse of employees, Job security, Temporary employees, Psychological burnout, Wage decreases, Workers' rights
Abstract: This article focuses on the precarious and exploitative conditions faced by gig workers employed as AI trainers and annotators for companies like Mercor, Outlier, and Turing. The author, a Hollywood screenwriter turned AI trainer, describes the unstable, low-paid, and often dehumanizing nature of this work, characterized by unpredictable scheduling, constant onboarding, and intense pressure to perform under vague and shifting criteria. Despite promises of flexible, “task-based” work, many contractors experience job insecurity, wage cuts, and lack of labor protections, leading to burnout and legal challenges over worker classification. The piece highlights the disconnect between the human skills these workers bring and the mechanized, data-driven demands of AI training platforms, revealing a labor system that commodifies human effort while offering little stability or respect. [Extracted from the article]
Copyright of Wired is the property of Conde Nast Publications and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 194059353
AccessLevel: 6
PubType: Periodical
PubTypeId: serialPeriodical
PreciseRelevancyScore: 0
IllustrationInfo
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  Data: HOLLYWOOD ENDING.
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  Data: <searchLink fieldCode="JN" term="%22Wired%22">Wired</searchLink>. Jul/Aug2026, Vol. 34 Issue 4, p36-45. 10p. 10 Color Photographs.
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  Data: <searchLink fieldCode="DE" term="%22Job+classification%22">Job classification</searchLink><br /><searchLink fieldCode="DE" term="%22Abuse+of+employees%22">Abuse of employees</searchLink><br /><searchLink fieldCode="DE" term="%22Job+security%22">Job security</searchLink><br /><searchLink fieldCode="DE" term="%22Temporary+employees%22">Temporary employees</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+burnout%22">Psychological burnout</searchLink><br /><searchLink fieldCode="DE" term="%22Wage+decreases%22">Wage decreases</searchLink><br /><searchLink fieldCode="DE" term="%22Workers'+rights%22">Workers' rights</searchLink>
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  Data: This article focuses on the precarious and exploitative conditions faced by gig workers employed as AI trainers and annotators for companies like Mercor, Outlier, and Turing. The author, a Hollywood screenwriter turned AI trainer, describes the unstable, low-paid, and often dehumanizing nature of this work, characterized by unpredictable scheduling, constant onboarding, and intense pressure to perform under vague and shifting criteria. Despite promises of flexible, “task-based” work, many contractors experience job insecurity, wage cuts, and lack of labor protections, leading to burnout and legal challenges over worker classification. The piece highlights the disconnect between the human skills these workers bring and the mechanized, data-driven demands of AI training platforms, revealing a labor system that commodifies human effort while offering little stability or respect. [Extracted from the article]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Wired is the property of Conde Nast Publications and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
        StartPage: 36
    Subjects:
      – SubjectFull: Job classification
        Type: general
      – SubjectFull: Abuse of employees
        Type: general
      – SubjectFull: Job security
        Type: general
      – SubjectFull: Temporary employees
        Type: general
      – SubjectFull: Psychological burnout
        Type: general
      – SubjectFull: Wage decreases
        Type: general
      – SubjectFull: Workers' rights
        Type: general
    Titles:
      – TitleFull: HOLLYWOOD ENDING.
        Type: main
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          Name:
            NameFull: FOWLER, RUTH
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          Dates:
            – D: 01
              M: 07
              Text: Jul/Aug2026
              Type: published
              Y: 2026
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              Value: 34
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              Value: 4
          Titles:
            – TitleFull: Wired
              Type: main
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