The complete annotation toolkit for modern AI teams

From bounding boxes to RLHF preference ranking, AnnotRift provides every tool you need to create high-quality training data at scale.

Annotation Studio

Browser-based annotation environment with 20+ tool types including bounding boxes, polygons, segmentation masks, keypoints, and cuboids.

  • AI-assisted pre-labeling
  • Smart polygon completion
  • Multi-frame video tracking
  • Real-time collaboration
Learn more →

Quality Assurance

Multi-stage review workflows with consensus scoring, inter-annotator agreement metrics, and automated quality checks.

  • Consensus scoring
  • Automated outlier detection
  • Custom quality thresholds
  • Real-time dashboards
Learn more →

Workforce Management

Access 1.5M+ vetted annotators worldwide or bring your own team. Intelligent task routing matches skills to projects.

  • Skill-based routing
  • Performance leaderboards
  • 40+ language coverage
  • 24/7 global operations
Learn more →

Model-in-the-Loop Labeling

Accelerate annotation 5x with AI-assisted pre-labeling. Your models generate initial predictions, human annotators refine them, and the feedback loop continuously improves both model and data quality.

  • Upload your model for pre-annotation
  • Active learning selects high-value samples
  • Continuous model retraining pipeline
Model-in-the-Loop Active
AI Suggestion
Human Refined ✓
AI Suggestion
Pre-label accuracy: 87% → Human correction → Retrain 5x faster

Custom Ontology Builder

Define complex label hierarchies, relationships, and validation rules with our visual ontology editor. Support for nested taxonomies, conditional attributes, and cross-label constraints.

  • Hierarchical label taxonomies
  • Conditional attributes and constraints
  • Version control for label schemas
Label Ontology — Autonomous Driving v2
📁 Vehicle
├─ Car
├─ Truck
├─ Bus
└─ Motorcycle
📁 Vulnerable Road User
├─ Pedestrian
├─ Cyclist
└─ Scooter Rider
📁 Infrastructure
├─ Traffic Light [state: red|yellow|green]
├─ Stop Sign
└─ Lane Marking
v2.3 Published 14 classes 3 attributes

Every data type, one platform

Native support for all major data formats with specialized tooling for each modality.

Image

Bounding boxes, polygons, segmentation, keypoints

Video

Object tracking, temporal segmentation, action recognition

Text & NLP

NER, sentiment, classification, relation extraction

Audio

Transcription, diarization, sound event detection

3D & LiDAR

Point clouds, 3D cuboids, sensor fusion, HD mapping

Documents

PDF parsing, table extraction, form understanding

Ready to build better training data?

Start a pilot project with our team and see results in days, not months.