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🏷️ Human-in-the-loop labeling

Data annotation that gives your models accurate, consistent labels.

A dedicated, trained annotation team labeling image, text, audio and video data to your exact guidelines — with multi-pass QA and agreement metrics. For AI & ML teams in the USA, UK, Australia, Canada & UAE that need quality at scale.

99%+Annotation accuracy
4Modalities labeled
25+Trained annotators
What you get

A dedicated annotation team

  • Image, text, audio & video labeling
  • Multi-pass QA & gold checks
  • Inter-annotator agreement metrics
  • Scale up or down · cancel anytime
Book a Free Consultation
The problem we solve

Bad labels quietly cap your model

Inconsistent, low-quality annotation is the silent killer of model accuracy — and it is hard to fix after the fact.

🎯

Inconsistent labels

Unclear guidelines and untrained labelers create noisy, conflicting data.

⏱️

Slow to scale

In-house labeling pulls your ML team off building and can't keep pace.

🔍

No quality visibility

Without QA metrics you can't tell good batches from bad.

Complete range of solutions

Annotation across every modality

Labeled to your guidelines and tooling, with QA built into every batch.

Image annotationBounding boxes, polygons & keypoints
Semantic segmentationPixel-level masks & classes
Text annotationNER, classification & sentiment
Audio annotationTranscription, labeling & events
Video annotationFrame-by-frame tracking & labels
QA & agreementMulti-pass review & gold checks
Tools & technology

We work in proven, professional tools

The platforms and tools our specialists use to deliver reliable results.

Label StudioCVATLabelboxSuperAnnotateProdigyV7PythonAWS S3
Our proven process

A clear, reliable way of working

Six simple steps so the work is accurate, consistent and delivered on time.

1

Guidelines

Define labels & gold examples.

2

Train

Calibrate annotators on samples.

3

Pilot

Calibration batch & sign-off.

4

Annotate

Label at scale to spec.

5

QA

Review, consensus & agreement.

6

Deliver

Labeled data in your format.

Why Talk For Web

A partner you can rely on

Dependable delivery, real accountability and a team that treats your work as its own.

🏆

16+ years experience

A seasoned team that has supported 120+ clients and 500+ projects worldwide.

🎯

Accuracy-obsessed

Clear specs, validation and multi-step QA on every batch we deliver.

🔒

NDA-backed & secure

An NDA is signed before any access; secure, confidential handling throughout.

Built to scale

Ramp a trained, dedicated team up or down to match your workload.

🌍

Built for global teams

Working comfortably across USA, UK, AU, CA & UAE time zones.

🔁

Flexible & scalable

Scale up when busy, down when quiet — no long contracts.

★★★★★

"The labeling quality is the best we've worked with — clear gold checks, agreement metrics and a team that actually follows the guidelines. Our detection model improved immediately."

JL
Julia LindqvistML Engineer · 🇸🇪 EU
Questions

Data Annotation FAQs

Everything you might want to know before getting started.

What annotation tasks do you handle? +
Image (bounding boxes, polygons, segmentation, keypoints), text (NER, classification, sentiment), audio (transcription, labeling) and video (tracking, frame labels) — to your guidelines.
Which tools do you work in? +
Label Studio, CVAT, Labelbox, SuperAnnotate, Prodigy, V7 and your own platform — we adapt to your stack and export format.
How do you ensure annotation quality? +
Clear guidelines, trained and calibrated annotators, multi-pass and consensus review, gold-standard checks, and inter-annotator agreement metrics reported per batch.
Can you scale a large annotation project? +
Yes. We ramp a trained team up or down to match volume and deadlines while keeping quality consistent.
Is there a long-term contract? +
No. Work is billed monthly and you can scale up, down or cancel anytime. An NDA is signed before any data access.

Ready for labels you can trust?

Book a free 30-minute consultation and we will scope an annotation plan for your modality, guidelines and volume. Explore the full AI training data pipeline.

📅 Book a Free Call