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Cultural Studies Quality Assurance Lead (QAL)

What you'll do

You lead quality on humanities content: art history, visual culture and cultural studies. You review AI explanations, visual analyses, museum-style descriptions and cultural comparisons for misattribution, wrong periodization, weak visual analysis and unsupported interpretation, and you supervise the trainers who do the same. The ad adds an ethics duty: flagging Eurocentric, decontextualized or stereotyping claims about art, artists and communities.

The lead work is the standard set: Discord updates, rubric questions, chasing inactive contributors, onboarding calls, calibration tasks and documentation.

Who fits

  • A bachelor's, master's or PhD in art history, cultural studies, visual culture, museum studies, humanities, fine arts, comparative literature, media studies, anthropology or history
  • 3+ years in art historical research, curatorial work, teaching, academic writing or cultural criticism
  • Command of art historical methods, iconography, periodization and museum ethics
  • Breadth across ancient to contemporary and non-Western art histories is preferred
  • Leading remote teams is strongly preferred

What it pays

Up to $65 an hour per the listing, no floor. That is a strong figure for the humanities, but it is a ceiling. The listing does not publish payment method or cadence; SuperAnnotate's general terms are on the company page.

Worth knowing

Good:

  • Rare paid use for an art history or cultural studies background
  • Real influence on how a model discusses culture
  • Remote hourly

Less good:

  • The ad opens with a notice that there is no immediate project for this role; qualified applicants are promised to be among the first contacted when work appears, so a successful application may mean waiting.
  • United States only
  • Hourly work on SME projects is tracked with monitoring software, per the company page.

About this listing

Read from the SME Careers jobs board on 27 October 2026; the board shows no posting date. Selection is an AI interview, a domain task and a recruiter interview.

See SuperAnnotate.

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