Named Entity Recognition
Span-level labels for people, organizations, products, dates, and domain-specific entities.
Text Annotation Services
Build NLP and LLM systems on accurately labeled language data. Smart Annotahub handles entity recognition, classification, sentiment, and preference data, delivered by trained linguists with multi-stage review.
Types of Text Annotation We Offer
Text Classification
Document and sentence-level labels for intent, topic, toxicity, and routing.
Sentiment and Emotion
Polarity, aspect-based sentiment, and emotion labels with clear decision rules.
Relation and Linking
Relations between entities and linking to knowledge bases or product catalogs.
LLM Data and RLHF
Prompt-response writing, ranking, and preference data for fine-tuning and evaluation.
Linguistic Annotation
Part-of-speech, syntax, and morphology for research and language-model work.
How We Deliver Text Annotation
From your first sample to production volume, every project follows the same six-step path, with no commitment until the pilot proves the quality.
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Step 01
NDA and Discovery
We sign an NDA first, then clarify your goals, taxonomy, edge cases, and target accuracy for the text dataset.
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Step 02
Free Pilot
We annotate a sample of your text dataset at no cost, so you can judge quality, speed, and edge-case handling first-hand.
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Step 03
Proposal and Agreement
Based on your pilot feedback, we finalize scope, timeline, pricing, and the Service Level Agreement.
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Step 04
Team Setup and Training
We assemble a dedicated team, train it on your guidelines, and agree on communication channels and progress tracking.
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Step 05
Production Labeling
Our team runs text annotation to the agreed plan, with throughput and accuracy KPIs tracked for every annotator.
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Step 06
QA and Delivery
Your annotated text data pass multi-stage quality review before delivery. Your feedback feeds straight back into the guidelines.
Text Annotation for Your Industry
Language data depends on context. Annotators are matched to your domain and briefed on your terminology.
Generative AI
Instruction data, preference ranking, and model output evaluation.
Customer Support
Intent and sentiment labels for chatbots and ticket routing.
Finance and Legal
Entity extraction from contracts, filings, and reports.
Healthcare
Clinical entity and relation labeling under strict privacy rules.
E-commerce
Product attribute extraction and review analysis.
Tools we work in
Your platform or ours. We adapt to existing pipelines, review stages, and export schemas.
Why AI Teams Choose Smart Annotahub
Start with a free text annotation pilot
Tell us about your data and requirements. We'll return an annotated sample with a precise quote, usually within a few working days.
Thank you.
We’ve received your request and will be in touch soon.
Reviews
From our Clients
“Their flexibility and ability to move fast impress us.”
We chose Smart Annotahub for its strong value, recommendation, and shared company values. Their 10-person team delivered accurate data annotation with a flexible, collaborative approach. They responded quickly, went the extra mile to meet deadlines, and kept the project on track. We’ve been very pleased with the experience and have no improvements to suggest at this time.
Project Manager
“They’re always willing to adapt quickly to our needs and help keep the project on track.”
The team is highly responsive and flexible, quickly adapting to our needs to keep the project on track. Clear, detailed annotation guidelines help them deliver accurate results faster.
Director
“Communication with the team is smooth, clear, and effortless.”
We chose Smart Annotahub for its expertise, openness to new ideas, and strong interest in autonomous vehicles. Their team provides consistent cuboid and polygon annotation for our growing image dataset, with responsive communication, attentive project management, and reliable quality assurance. We’re very pleased with the collaboration and look forward to continuing our work together.
Director of Engineering
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Text Annotation FAQs
Which languages do you support?
We support English, Vietnamese, Japanese, Korean, Chinese and other major languages. Tell us your target languages and we will confirm coverage during scoping.
Can you help with LLM fine-tuning data?
Yes. We write and review prompt-response pairs, rank model outputs, and build evaluation sets to your rubric.
How do you measure consistency between annotators?
We track inter-annotator agreement on overlapping samples and use disagreements to refine guidelines.
How do you protect sensitive text?
Work runs in secure environments under NDA, with access controls and optional redaction before annotation.