Live opening · Posted 7 days ago

Video Shot Annotation Artist

Alignerr · United States (Remote)
Linkedin Yes
You are 7 days behind. JobBeeper subscribers saw this role while it was still new.

At a glance

The key details from the original listing.

Posted 7 days ago
CompanyAlignerr
LocationUnited States (Remote)
Salary$30/hr - $50/hr
Work modeYes
SourceLinkedin
Listed7 days ago

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About the role

Description supplied by the original job listing.

Video Shot Annotation Artist (AI Training)
About The Role
We're looking for visually sharp, detail-oriented individuals to help teach AI how to see and understand film. As a Video Shot Annotation Artist at Alignerr, you'll work at the shot level — breaking videos into discrete moments and describing them with the precision and clarity that AI models need to learn real cinematic language.
This is a unique opportunity to put your knowledge of film grammar to work on cutting-edge AI projects alongside top research labs.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: Flexible hours, work on your own schedule
What You'll Do
Watch and segment video content into individual shots, confirming accurate shot boundaries
Annotate each shot with camera angle, shot size, and camera movement
Describe on-screen action in clear, concise, structured language
Apply stylistic and tonal tags — lighting style, visual mood, genre feel — where relevant
Use predefined taxonomies and labeling frameworks to ensure consistency across the dataset
Flag ambiguous transitions, unclear shots, or edge cases for review
Maintain accuracy and consistency across high-volume annotation workflows
Must-Have
Who You Are
Strong visual literacy — you notice the difference between a dolly and a zoom, a medium close-up and a cowboy shot
Solid understanding of core film grammar: shot types, camera angles, and movement terminology
Comfortable working in structured tools such as labeling interfaces, spreadsheets, or annotation platforms
High attention to detail with the ability to stay consistent across repetitive tasks
Nice To Have
Background in video editing, assistant editing, cinematography, or post-production
Prior experience in data annotation, dataset labeling, or AI training workflows
Familiarity with film theory or formal visual analysis
Why Join Us
Work on meaningful, intellectually engaging projects that shape the future of AI
Fully remote and asynchronous — work when and where you want
Collaborate with a global network of creative and technical contributors
Apply your film knowledge in a genuinely novel and impactful way
Potential for ongoing work and contract extension as projects scale

Work arrangement
Yes

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