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 analyze, segment, and label video content that trains the next generation of AI models — helping machines learn to interpret real-world 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 film, video, or visual media. No professional experience in video production or AI is required — just a consistent, methodical approach and a genuine eye for what's happening on screen.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Break down video content into individual shots and scenes with precision
- Annotate key visual elements — camera angles, shot sizes, 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 consistent speed and accuracy across high-volume annotation workflows
- Complete task-based assignments independently on your own schedule
Who You Are
- Naturally sharp visual attention — you notice details others might miss
- Comfortable working in web-based labeling tools, spreadsheets, or similar platforms
- Consistent and methodical — you can maintain quality across repetitive tasks
- Interested in video, film, photography, or visual storytelling
- Self-motivated and reliable when working independently without supervision
- No professional video or AI experience required
Nice to Have
- Background in film, media studies, photography, or visual arts
- Experience with data annotation, content tagging, or quality assurance workflows
- Familiarity with AI tools or labeling platforms as an end user
- Strong general understanding of cinematography or video production concepts
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 systems learn to understand and interpret visual media
- Potential for ongoing work and contract extension as new projects launch
