Text annotation
Label, classify, categorize, and structure text according to project-specific guidelines and taxonomies.
DATA ANNOTATION SERVICESStructured data.
Structured data.
Human judgment.
Avenris provides managed data annotation services for AI projects across text, images, audio, video, and multimodal datasets, with contributor calibration and quality review built around your requirements.
Discuss your data annotation projectImage annotation
Support image labeling and classification workflows built around the requirements of your dataset and use case.
Audio annotation
Organize, label, and review audio data using defined instructions, language requirements, and quality criteria.
Video annotation
Support structured video labeling and review workflows for projects that require human interpretation and consistent application of guidelines.
Multilingual annotation
Coordinate qualified language contributors for datasets that require linguistic understanding, local context, and consistent annotation across languages.
Multimodal projects
Manage annotation workflows that combine text, image, audio, video, or other data types under one structured delivery process.
MANAGED DELIVERY
From guidelines to reviewed data.
Annotation quality depends on more than labeling. We structure the people, instructions, calibration, review, and delivery process around the needs of each project.
Define
Align on the dataset, annotation guidelines, quality criteria, languages, volume, and delivery requirements.
Source & calibrate
Match contributors to the project requirements, train them on the guidelines, and calibrate before scaled production.
Annotate & review
Run the annotation workflow with quality checks, feedback loops, and review processes appropriate to the project.
Deliver
Prepare the agreed outputs and maintain clear coordination around progress, quality, and handoff requirements.
QUALITY & SCALEBuilt around your
Built around your
annotation requirements.
We can organize contributors around defined skills, languages, guidelines, and expected volume, then support calibration, task coordination, feedback, quality assurance, and delivery as the project evolves.
- Text
- Images
- Audio
- Video
- Multilingual Data
- Classification
- Validation & Review
- Custom Guidelines