About the Role
We're looking for visually literate film and video enthusiasts to help train the next generation of AI systems to understand the language of cinema. As a Video Shot Annotation Artist at Alignerr, you'll analyze video at the shot level — describing camera angles, movement, framing, and mood in structured, precise language that teaches AI how a scene really works.
This is a unique opportunity to put your passion for film and visual storytelling to work on cutting-edge AI research.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: Flexible hours, work on your own schedule
What You'll Do
- Break videos into individual shots and confirm shot boundaries
- Annotate each shot for camera angle, shot size, and camera movement
- Describe on-screen action in clear, concise, structured language
- Apply stylistic tags for lighting, visual tone, and genre feel where relevant
- Follow predefined taxonomies and labeling sets to ensure consistency
- Flag ambiguous shots or unclear transitions for review
- Maintain speed and accuracy across high-volume annotation workflows
Who You Are
Must-Have:
- Strong visual literacy — you notice the details others miss
- Solid understanding of film grammar: shot types, angles, and camera movements
- Comfortable working in labeling tools, spreadsheets, or structured interfaces
- High attention to detail and ability to stay consistent across repetitive tasks
Nice to Have:
- Background in video editing, assistant editing, or post-production
- Prior experience with data annotation or dataset labeling
- Formal or self-directed study in film, cinematography, or media production
Why Join Us
- Work on cutting-edge AI projects with top research labs
- Fully remote and flexible — work on your own schedule from anywhere
- Freelance perks: autonomy, variety, and global collaboration
- Contribute to meaningful work that shapes how AI understands visual storytelling
- Potential for ongoing work and contract extension