About the role

About Alignerr

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.

Role Overview

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.

What You’ll Do

- 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

What You Bring

Must-Have:

- 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

Nice-to-Have:

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

- Prior experience with annotation or dataset labeling

Skills & Tags

ai data product

Aplyr's read

Labelbox is a cutting-edge data training platform focused on enhancing AI capabilities through efficient data annotation. Ideal for tech professionals passionate about AI and machine learning.
Synthesized from recent postings & public sources

What's promising

•Labelbox offers a robust platform that significantly accelerates AI model training.
•The company is at the forefront of AI data annotation, a rapidly growing field.
•Recent roles indicate a strong focus on diverse AI applications and research.

What to watch

•The niche focus on data annotation may limit broader tech career opportunities.
•Highly specialized roles might require advanced expertise in AI and machine learning.
•Potential candidates may face intense competition due to the company's innovative reputation.

Why Labelbox

•Labelbox uniquely integrates data annotation with AI model improvement.
•The company emphasizes a forward-deployed engineering approach, embedding engineers directly with clients.
•Its platform is designed to streamline complex data labeling processes efficiently.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Labelbox

Labelbox

labelbox.com

View company

Labelbox is a data training platform that enables organizations to build and manage high-quality training datasets for machine learning applications. By streamlining the data labeling process, Labelbox empowers teams to accelerate their AI initiatives and improve model performance.