Video Shot Annotation Artist

Alignerr works with AI labs that need high‑quality, human‑created descriptions of film and video. Our teams help models understand not just “what is on screen,” but how a scene is staged, paced, and emotionally framed.

The Video Shot Annotation Artist works at the shot level, breaking videos into discrete shots and describing camera angle, framing, movement, composition, and on-screen action. This role blends visual literacy with structured labeling to support large-scale video annotation workflows.

- Segment video into individual shots and confirm boundaries

- Annotate camera angle, shot size, and camera movement

- Describe on-screen action in clear, concise terms

- Apply stylistic tags when relevant (lighting style, visual tone, genre feel)

- Use predefined taxonomies and labeling sets for consistency

- Flag unclear shots or ambiguous transitions

- Maintain speed and accuracy across high-volume annotation tasks

- Strong visual literacy and ability to notice subtle shot distinctions

- Familiarity with core film grammar (shot types, angles, movements)

- Comfort working in labeling tools, spreadsheets, or structured interfaces

- Strong attention to detail and ability to stay consistent across repetitive tasks

- Experience in editing, assistant editing, or similar post-production roles

- Prior experience with annotation or dataset labeling