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 Film Scene Description Specialist reviews short scenes and produces structured beat-by-beat visual descriptions. This role focuses on describing scene flow, camera behavior, blocking, pacing, and emotional tone strictly through visual information, without relying on dialogue.
What You’ll Do
- Watch scenes and break them into visual beats
- Describe camera movement, framing choices, pacing, and blocking
- Communicate mood and tone using purely visual indicators
- Identify key transitions, reveals, or motifs in the scene
- Follow standardized formatting for scene summaries and beat breakdowns
- Provide clarity notes where visuals are ambiguous
- Maintain consistency across a large volume of scene descriptions
What You Bring
Must-Have:
- Background in film, directing, editing, cinematography, or film school
- Ability to describe scenes visually without referencing dialogue
- Strong structured writing and scene-analysis ability
- Comfort re-watching clips to ensure accuracy
Nice-to-Have:
- Experience with script coverage, storyboarding, or pre-vis workflows
- Understanding of scene structure and storytelling fundamentals
Skills & Tags
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.
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 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.