Trained, specialist annotators
Contributors are tested on your guidelines before working on live data.
Services / Data Annotation & Labeling
Precise labels. Smarter models.
Precise human labeling for text, audio, image, and video data that models can learn from.
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Data Annotation & Labeling
Why teams choose Langigs
Accurate annotation is what turns raw data into training data. Our trained annotators label text, audio, images, and video against your guidelines, with language and cultural knowledge that generic labeling teams cannot offer — so your model learns the right lessons.
Language-aware labeling
Native speakers catch nuance, slang, and context in multilingual data.
Works with your tools
We annotate on your platform or on tools agreed for the project.
Measurable quality
Accuracy targets and review checks are agreed and reported.
Use cases
Where we can help
- Named entity recognition and intent labeling
- Audio segmentation and speaker labeling
- Image bounding boxes and classification
- Video event and object tagging
- Content moderation and safety labeling
- RLHF and preference ranking
How it works
A clear process, start to finish.
- 01
Review your guidelines
We study your schema, examples, and edge cases — or help you write them.
- 02
Calibrate the team
Annotators complete test tasks until they meet the accuracy bar.
- 03
Annotate at scale
Work is produced in batches with ongoing spot checks.
- 04
Review and report
Quality results and open questions are shared with every delivery.
Quality assurance
Quality built into every step
- Qualification tests before live work
- Gold-standard and spot-check reviews
- Inter-annotator agreement measurement
- Feedback loops to refine guidelines
FAQ
Common questions
Do you use our annotation platform?
Yes. We can work inside your tools or agree on a suitable platform for your project.
What if we do not have guidelines yet?
We can help you draft clear annotation guidelines with examples and edge cases, then test them on a pilot batch.
How do you measure annotation quality?
Through gold-standard tasks, reviewer spot checks, and agreement scores, reported against the targets we agree with you.
Start your project
Ready to talk about Data Annotation & Labeling?
Share your goals, languages, and timeline. We will reply with next steps and a plan that fits.
More services
Explore other ways we can help
▦AI data services
AI Data Collection
Custom training data collected from real people, to your exact specification.
Learn more →AaAI data servicesText Annotation & Classification
Sentiment, intent, entity, and topic labeling by native speakers who understand context.
Learn more →✓AI data servicesAI Evaluation & Quality Review
Human evaluation of AI outputs and datasets, so you ship models people can trust.
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