Video Annotation Specialist
Pubblicato il 09-10-2026 - Alignerr in Italia
Video Annotation Specialist (AI Training)
About The Role
What if your sharp eye for visual detail could directly shape how AI understands the world through video? We're looking for Video Annotation Specialists to segment, label, and describe video content that teaches AI models how to interpret visual media — from camera angles and shot composition to on-screen action and scene transitions.
This is a fully remote, flexible contract role open to anyone with strong visual attention and a consistent, methodical approach to work. No professional video or AI experience required — just a genuine eye for detail and the ability to stay accurate across high-volume tasks.
• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week
What You'll Do
• Segment video content into individual shots or scenes with precision
• Annotate key visual attributes — camera angle, shot size, movement, and on-screen action
• Apply structured labels and tags using predefined categories and guidelines
• Flag ambiguous transitions, unclear shots,
or edge cases for review
• Maintain high speed and accuracy across large volumes of annotation tasks
• Complete assignments independently on your own schedule
Who You Are
• Visually sharp — you notice subtle differences others might miss
• Consistent and methodical, even across repetitive or high-volume tasks
• Comfortable working in web-based tools, labeling platforms, or spreadsheets
• Interested in video, film, or visual media — any format or genre
• Self-motivated and reliable when working independently
• No professional video production or AI experience required
Nice to Have
• Background in film, photography, media studies, or visual arts
• Experience with video editing, production, or post-production workflows
• Familiarity with annotation tools or data labeling platforms
• Prior work in quality assurance, data entry, or content review
Why Join Us
• Work on cutting-edge AI projects alongside leading