Remote Video Annotation Specialist for AI Training

Alignerr Corp.

Italia

Remoto

EUR 11.000 - 22.000

Part-time

34 ore fa
Candidati tra i primi

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Descrizione del lavoro

Alignerr is seeking Video Annotation Specialists to segment, label, and describe video content that teaches AI models to interpret visual media. You will work remotely on a flexible, hourly contract, with 10–40 hours per week and the ability to schedule tasks around your availability.

You’ll annotate camera angles, shot sizes, movements, and on-screen actions, apply structured labels per guidelines, and flag ambiguous transitions for review. No prior video or AI experience required.

Competenze

  • Must have a keen eye for detail and accuracy across high-volume tasks.
  • Able to segment video into shots and annotate attributes per guidelines.
  • Comfort with web-based labeling tools and spreadsheets.
  • Interest in video/film/visual media; flexible remote contract.
  • Background in film, photography, media studies, or visual arts is a nice-to-have.

Mansioni

  • Segment video content into shots/scenes with precision.
  • Annotate camera angle, shot size, movement, and on-screen action.
  • Apply structured labels using predefined categories and guidelines.
  • Flag ambiguous transitions or edge cases for review.
  • Maintain speed and accuracy across large annotation tasks.
  • Complete assignments independently on your own schedule.

Conoscenze

Visual attention
Consistency
Web-based tools
Video/media interest
Independent work
No prior AI/video experience required

Formazione

Film/Visual arts background

Strumenti

Annotation tools
Data labeling platforms

Descrizione del lavoro

Alignerr is seeking Video Annotation Specialists to segment, label, and describe video content that teaches AI models to interpret visual media. You will work remotely on a flexible, hourly contract, with 10–40 hours per week and the ability to schedule tasks around your availability.

You’ll annotate camera angles, shot sizes, movements, and on-screen actions, apply structured labels per guidelines, and flag ambiguous transitions for review. No prior video or AI experience required.

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