Video Annotation Specialist (AI Training)

About The Role

What if your sharp eye for visual detail could directly influence how AI understands the world through video We're looking for Video Annotation Specialists to segment, label, and describe video content that trains the next generation of AI models — helping machines learn to interpret visual media the way humans do.

This is a fully remote, flexible contract role open to anyone with strong attention to detail and an interest in visual media. No professional film or AI background required — just a keen eye, consistency, and a willingness to do careful, meaningful work.

Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week

What You'll Do

Segment videos into individual shots and scenes with precision
Annotate camera angles, shot sizes, movement types, and on-screen action
Apply labels and tags to video content using predefined category systems
Flag ambiguous transitions, unclear shots, or edge cases that need review
Maintain high speed and accuracy across large-volume annotation tasks
Complete task-based assignments independently on your own schedule

Who You Are

Visually sharp — you notice subtle differences others might overlook
Consistent and methodical when working through repetitive, detail-oriented tasks
Comfortable using web-based labeling tools or spreadsheets
Self-motivated and reliable when working independently without supervision
Genuinely interested in video, film, or visual storytelling
No professional video production or AI experience required

Nice to Have

Background in film studies, media, photography, or visual arts
Experience with video editing, content review, or media production
Familiarity with annotation tools or data labeling platforms
Prior exposure to quality assurance or structured review workflows

Why Join Us

Work on cutting-edge AI projects alongside leading research labs
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, task-based work
Contribute directly to how AI learns to understand and interpret visual media
Potential for ongoing work and contract extension as new projects launch