About the Role
What if your sharp eye and love of visual media 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 trains the next generation of AI models — helping machines learn to see, interpret, and make sense of moving images.
This is a fully remote, flexible contract role open to anyone with strong visual attention and a methodical approach to detail. No professional video or AI background required — just a keen eye, consistency, and a willingness to do focused, 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 actions
- Apply structured labels and tags from predefined category systems
- Flag unclear shots, ambiguous transitions, or edge cases that need review
- Maintain consistent speed and accuracy across high-volume annotation tasks
- Work independently and asynchronously — fully on your own schedule
Who You Are
- Naturally sharp visual attention — you notice subtle differences others miss
- Comfortable working in web-based labeling tools or spreadsheets
- Able to stay consistent and focused across repetitive, detail-oriented tasks
- Self-motivated and reliable when working independently without supervision
- Interest in video, film, cinematography, or visual media is a plus
- No professional video production or AI experience required
Nice to Have
- Background in film, media studies, photography, or visual arts
- Experience with data annotation, tagging, or content classification tools
- Familiarity with video editing software or media production workflows
- Prior exposure to AI training datasets or quality assurance work
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