The data engine for world‑class vision language models
Source, vet, and manage expert annotators in one place to accelerate precise video annotations.
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Case study
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Luma Labs partners with micro1 to onboard 100s of video annotators and power the next generation of their world-class video language model
Power your AVLMs with expert sourced, deeply vetted, and precisely annotated video data
Our core capabilities
Scale & Quality
Fully managed by expert annotators, our engine delivers consistent, high‑precision labels at every stage of your video data pipeline
Modality‑Focused
Built specifically for video: frame‑level, temporal, natural‑language annotations designed for VLM training.
Flexible & Cost‑Effective
We batch, stitch, or chunk videos based on complexity, optimizing cost and throughput
Data Diversity
Support for full‑motion, multi‑scenario, and edge‑case video coverage—including multilingual contexts and visual‑verbal alignment.
How it works
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We use our AI recruiter to source and vet expert video annotators at scale
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2
You send us video inputs, such as S3 buckets, youtube, mp4, or raw uploads
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We assign top experts to begin structured annotation using our data platform
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The experts' performance is managed directly within our platform
Use Cases
Empower your VLMs to master real-world video understanding with expert-labeled data across diverse, high-impact tasks.
Captioning & Transcription
Detailed descriptions of actions, environments, and dialogue.
Multimodal QA
Segment‑aware QA labels aligned with video segments.
Behavioral Scene Understanding
Annotate speaker intent, emotion, interactions—ground truth context for intelligent VLM behavior.
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Our experts

O.K.
Perception Annotation Engineer
Exp: 5+ years
Rwanda

Vetted skills:
Attention to Detail
Data Annotation
Quality Assurance
+1

F.S.
Data Annotator
Exp: 7+ years
Kenya

Vetted skills:
Data Annotation
Quality Assurance and Validation
Handling Ambiguity
+1

H.O.
People Data Analyst
Exp: 5.8+ years
Nigeria

Vetted skills:
Data Annotation
Quality Assurance and Validation
Handling Ambiguity
+1