Data Annotation & Labeling

Precise annotation that makes your models accurate

Image, video, text, audio, document and LLM annotation by trained annotators — reviewed, measured and delivered in the format your pipeline expects.

Start a Pilot Annotation Types
Guideline-drivenCalibrated to your edge cases
Human reviewSecond pass on every batch
Tracked accuracyGold tasks & audits
Any formatCOCO, YOLO, JSON, CSV & more
Annotation Types

What we annotate

From simple classification to pixel-level segmentation and LLM preference data.

Image Annotation

Object detection and recognition data for computer vision models.

  • Bounding boxes
  • Polygons
  • Semantic segmentation
  • Keypoints
  • Classification

Video Annotation

Frame-by-frame and object-level labels that stay consistent across a clip.

  • Object tracking
  • Frame labels
  • Event tagging
  • Action recognition

Text Annotation

Structured labels that help NLP models understand language and meaning.

  • Named entities
  • Intent
  • Sentiment
  • Text classification

Audio Annotation

Labels for speech and sound models, from who spoke to what was heard.

  • Speaker diarization
  • Sound events
  • Emotion tagging
  • Segment timing

Document Annotation

Training data for document AI that reads invoices, forms and receipts.

  • Key-value extraction
  • OCR correction
  • Layout tagging
  • Table labels

LLM & RLHF Data

Human feedback and content that improve generative AI models.

  • Prompt–response writing
  • Preference ranking
  • Output rating
  • Safety review
Quality Workflow

Accuracy built into every step

Annotation quality is decided long before the first label. We invest in guidelines, calibration and review so your dataset stays consistent — even at high volume.

Our QA process

  • Guideline walkthrough and calibration round with your team
  • Gold-standard questions mixed into live work
  • Second-pass review by senior annotators
  • Consensus labelling for subjective or ambiguous items
  • Random spot audits and error-pattern analysis
  • Feedback loop — guideline updates shared with the whole team
Tools

We work in your tool — or ours

Our annotators adapt quickly to new platforms, including in-house tools with custom label schemas.

Your in-house platform CVAT Label Studio Labelbox SuperAnnotate Spreadsheet & form-based tasks
Use Cases

Where our annotation is used

Autonomous systems & robotics

Object detection and tracking for vehicles, drones and robots.

Retail & e-commerce

Product tagging, attribute extraction and visual search data.

Conversational AI

Intent and entity labels for chatbots and voice assistants.

Document AI

Invoices, receipts, IDs and forms for automated extraction.

Content moderation

Policy-based review and labelling of text, images and video.

Generative AI

Instruction data, response rating and preference ranking.

Explore more

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Let's label your first batch

Send us sample data and guidelines — we will run a pilot and share an accuracy report.

Request a Free Pilot Email Us