Video Shot Annotation Artist

Summary

Alignerr is seeking visually fluent creatives to help teach AI how to see film through the eyes of a filmmaker. As a Video Shot Annotation Artist, you will be responsible for breaking down video content at the shot level and annotating it for AI understanding, all while working on your own schedule.

Responsibilities

• 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

Skills

• 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

Qualifications

Must Haves

• 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 Haves

• 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

Benefits

• Fully remote and async — work on your own schedule, from anywhere
• 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