What are the responsibilities and job description for the Video Shot Annotation Artist position at Alignerr?
Video Shot Annotation Artist (AI Training)
About The Role
We're looking for visually fluent creatives to help teach AI how to see film the way a filmmaker does. As a Video Shot Annotation Artist at Alignerr, you'll break down video content at the shot level — describing camera angles, framing, movement, pacing, and mood — so that AI systems can understand not just what is on screen, but how it was crafted.
This is a unique opportunity to put your knowledge of film grammar to work on cutting-edge AI projects, entirely on your own schedule.
Who You Are
About The Role
We're looking for visually fluent creatives to help teach AI how to see film the way a filmmaker does. As a Video Shot Annotation Artist at Alignerr, you'll break down video content at the shot level — describing camera angles, framing, movement, pacing, and mood — so that AI systems can understand not just what is on screen, but how it was crafted.
This is a unique opportunity to put your knowledge of film grammar to work on cutting-edge AI projects, entirely on your own schedule.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: Flexible hours
- Watch video clips and segment them into individual shots, confirming cut boundaries with precision
- Annotate each shot with camera angle, shot size, and camera movement (e.g., pan, tilt, dolly, handheld)
- Write clear, concise descriptions of on-screen action within each shot
- Apply stylistic and tonal tags — including lighting style, visual mood, and genre feel — where relevant
- Work within predefined taxonomies and labeling frameworks to ensure consistency across large datasets
- Flag ambiguous shots, unclear transitions, or edge cases for review
- Maintain accuracy and output quality across high-volume annotation workflows
Who You Are
- Strong visual literacy — you notice shot distinctions others miss
- Solid understanding of core film grammar: shot types, camera angles, and movement terminology
- Comfortable working in structured labeling tools, spreadsheets, or annotation interfaces
- Detail-oriented and consistent, especially across repetitive tasks
- Ability to work independently and manage your own pace
- Background in video editing, assistant editing, cinematography, or post-production
- Prior experience with data annotation, dataset labeling, or AI training workflows
- Familiarity with visual storytelling across different genres and formats
- Work on meaningful AI projects with leading research labs
- Fully remote and async — work on your own schedule, from anywhere
- Apply specialized film knowledge to a field where it's genuinely rare and valued
- Freelance autonomy with the potential for ongoing, long-term contract work
- Be part of a growing community of creative and technical contributors shaping the future of AI
Salary : $30 - $50