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AI Annotation & Data Labeling

Training data your models can trust.

Clean, consistent, well-documented labels for computer vision, NLP, and LLM teams — from pilot to production scale.

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What's included

Everything you need,
end to end.

  • Image annotation

    Bounding boxes, polygons, keypoints, 3D cuboids — any volume, with class-level QA.

  • Semantic & instance segmentation

    Pixel-precise masks for autonomous driving, medical imaging, and retail.

  • NLP & LLM data

    Intent labels, entity extraction, preference data, RLHF, and evals.

  • Audio annotation

    Transcription, speaker diarization, emotion and event tagging in 50+ languages.

  • Video annotation

    Frame-by-frame object tracking, action classification, temporal segmentation.

  • QA & calibration

    Multi-pass review, gold-set calibration, inter-annotator agreement reports.

Use cases

Built for the work you actually do.

Computer vision teams

Production-grade datasets for detection, segmentation, OCR, and pose estimation.

LLM & RAG teams

Preference pairs, evals, red-team prompts, and domain-specific instructions.

Voice & speech AI

Multi-language transcription, accent-balanced datasets, and audio event labels.

Robotics & autonomy

3D cuboids, point cloud annotation, and sensor-fusion labels at scale.

Pricing

Simple tiers. Tailored proposals.

Pricing depends on scope, volume, and language pairs.

Pilot

From $499/ batch

Right-sized pilots to validate quality before scaling.

  • Up to 1,000 items
  • Single task type
  • Gold-set calibration
  • QA report included
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Most popular

Production

From $0.05/ item

Continuous labeling pipelines for active model development.

  • Dedicated annotation team
  • Weekly delivery cadence
  • Inter-annotator agreement reports
  • Custom schemas & tooling
  • Slack-based collaboration
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Enterprise

Custom

Regulated, sensitive, or massive-scale programs.

  • On-premise / VPC delivery
  • SOC2-aligned controls
  • Regional data residency
  • 24/7 program management
  • Bespoke tooling integrations
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FAQ

Questions, answered.

We work in your tooling (Labelbox, CVAT, Scale, V7, Roboflow, Encord, Label Studio) or stand up our own pipelines.

Related work

Recent case studies in this service.

See all case studies
Rows of servers in a data center representing perception model training infrastructureAI Annotation

Annotated 1.2M images for a perception model

A continuous semantic-segmentation pipeline at 1.2M-image scale with weekly delivery, gold-set calibration, and inter-annotator agreement tracking — production-grade training data on a release cadence.

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Engineer writing code at a workstation representing language model dataset workAI Annotation

Multilingual RLHF dataset for an enterprise LLM

An 80k-prompt preference dataset across 8 languages — including red-team adversarial prompts and instruction-following evals — that lifted the model's downstream evals by 11.6%.

Read case study
Multilingual classroom representing Indian language NLP datasetsAI Annotation

NLP intent dataset across 8 Indian languages

A balanced intent-and-entity dataset across 8 Indian languages — including code-mixed utterances common in real users — that delivered a 9.2% model F1 lift in production.

Read case study

MarketReady™

Add MarketReady™ to this project

Validate your content with real native users in the target market before launch — and get a signed report that certifies it's ready.

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Ready to grow globally?

Tell us about your project and we'll get back to you within one business day.

Talk to an expert info@globalannotate.com