Video Shot Annotation Artist
Alignerr · Los Angeles, CA
- Hybrid
- Contract
- $45,000 / year
- Los Angeles, CA
Job highlights
- Annotate video clips for AI training.
- Describe camera angles, movement, and mood.
- Work remotely with flexible hours.
- Utilize film grammar knowledge for AI.
- Contribute to cutting-edge AI projects.
About the role
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.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: Flexible hours
What You'll Do
- 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 (Must-Have)
- 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
Nice To Have
- 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
Why Join Us
- 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
Key skills/competency
- Video Shot Annotation
- AI Training
- Film Grammar
- Camera Angles
- Shot Types
- Data Annotation
- Visual Literacy
- Remote Work
- Freelance
- Labeling Frameworks
Skills & topics
- Video Annotation
- AI Training
- Film Grammar
- Camera Angles
- Shot Types
- Data Labeling
- Visual Literacy
- Remote Work
- Freelance
- Video Editing
- Content Analysis
- AI Development
How to get hired
- Tailor your resume: Highlight film grammar, annotation tools, and remote work experience.
- Showcase visual literacy: Emphasize attention to detail in descriptions and tagging.
- Demonstrate independence: Mention ability to manage time and work autonomously.
- Prepare for annotation tasks: Familiarize yourself with labeling interfaces and frameworks.
- Express passion for AI: Convey interest in contributing to AI development.
Technical preparation
Study film grammar: shot types, angles, movement.,Practice with annotation tools and interfaces.,Develop keen observational skills for visual details.,Understand data labeling principles and consistency.
Behavioral questions
Describe a time you noticed subtle visual details.,How do you maintain focus on repetitive tasks?,How do you manage your time for independent work?,Explain a complex film concept simply.
Frequently asked questions
- What is the work arrangement for a Video Shot Annotation Artist at Alignerr?
- The Video Shot Annotation Artist role at Alignerr is fully remote and asynchronous, offering flexible hours. This means you can work on your own schedule from anywhere.
- What are the primary responsibilities of a Video Shot Annotation Artist at Alignerr?
- As a Video Shot Annotation Artist, you will segment video clips, annotate shots with details like camera angles and movement, describe on-screen actions, and apply stylistic tags to train AI systems.
- What specific film knowledge is required for the Video Shot Annotation Artist role?
- A strong understanding of core film grammar is essential, including terminology for shot types, camera angles, and camera movement. Visual literacy to identify shot distinctions is also key.
- Does Alignerr offer full-time employment for Video Shot Annotation Artists?
- The role is described as an Hourly Contract with flexible hours, suggesting a freelance or part-time arrangement. There is potential for ongoing, long-term contract work.
- What technical skills are most important for this AI training role at Alignerr?
- Key technical skills include comfort with structured labeling tools, spreadsheets, or annotation interfaces, along with strong attention to detail for consistent, high-volume annotation workflows.
- How does Alignerr ensure consistency in data annotation for AI training?
- Alignerr uses predefined taxonomies and labeling frameworks to ensure consistency across large datasets. Artists are also expected to flag ambiguous shots or unclear transitions for review.
- What background is considered 'Nice To Have' for an Alignerr Video Shot Annotation Artist?
- A background in video editing, assistant editing, cinematography, post-production, or prior experience with data annotation, dataset labeling, or AI training workflows would be beneficial.
- How can I stand out when applying for the Video Shot Annotation Artist position at Alignerr?
- To stand out, emphasize your strong visual literacy, your deep understanding of film grammar, your ability to work independently, and your meticulous attention to detail in repetitive tasks.