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 Visual Storytelling Prompt Writer translates moving images into structured prompts that capture the narrative, camera perspective, mood, and stylistic qualities of a scene. This role emphasizes expressive but precise visual language that models can use to recreate or extend scenes.
What You’ll Do
- Watch video clips and write prompts that summarize visual storytelling
- Describe characters, settings, camera perspective, and mood
- Balance technical shot detail with narrative and emotional context
- Produce multiple prompt variants when required
- Follow style guides for wording, specificity, and point of view
- Suggest alternative phrasings and note how they shift interpretation
- Maintain a consistent writing voice across large batches of clips
What You Bring
Must-Have:
- Strong writing skills with emphasis on visual clarity
- Understanding of film language, story flow, and camera fundamentals
- Ability to describe visuals without relying on script dialogue
- Ability to follow prompt-writing guidelines and examples
Nice-to-Have:
- Experience writing prompts for generative AI tools
- Background in creative writing, screenwriting, or storyboarding
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.
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