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
