Text Annotation Services

High-quality text annotation and NLP data labeling services for AI models, chatbots, sentiment analysis, intent classification, entity recognition, and Arabic language datasets.

Request a Consultation

WhatsApp Us

Managed Text Annotation for AI and NLP Projects

Contalents helps AI companies, data teams, and technology providers build accurate text datasets through managed annotation teams, clear labeling instructions, quality control, and scalable delivery workflows.

Entity Annotation

Label names, locations, organizations, products, dates, references, and key entities for NLP models.

Sentiment Analysis

Classify customer opinions, emotions, tone, satisfaction, and intent across text datasets.

Intent Classification

Train chatbots and AI assistants by classifying user intent, queries, requests, and conversation patterns.

Arabic NLP Data

Specialized Arabic text annotation for MENA-focused AI models, language datasets, and multilingual projects.

Why Text Annotation Matters

AI models cannot understand language accurately without structured training data. Text annotation helps machine learning systems classify meaning, detect entities, understand sentiment, identify intent, and improve language understanding across real-world use cases.

Improve NLP model accuracy
Train chatbots and AI assistants
Build Arabic and multilingual datasets
Classify customer feedback and conversations
Support search, moderation, and recommendation systems
Scale data labeling with managed QA

Text Annotation Services We Provide

Flexible text labeling workflows for NLP, LLM, chatbot, moderation, and language intelligence projects.

Named Entity Recognition

Identify and label entities such as people, places, organizations, dates, IDs, products, and custom entity types.

Text Classification

Classify documents, messages, tickets, reviews, comments, and text records into structured categories.

Content Moderation Labeling

Label harmful, sensitive, unsafe, irrelevant, spam, or policy-related text content for moderation systems.

Search Relevance Labeling

Evaluate search results, user queries, relevance, ranking quality, and information retrieval outputs.

LLM Response Evaluation

Review AI outputs for quality, helpfulness, accuracy, safety, tone, and instruction-following performance.

Arabic Text Labeling

Arabic annotation for dialects, formal Arabic, sentiment, intent, entity recognition, and language model training.

Arabic Language Expertise for AI Data Projects

Contalents gives AI companies access to managed Arabic-speaking annotation teams for language data, regional dialects, NLP labeling, and human-in-the-loop AI workflows.

How Our Text Annotation Process Works

A structured workflow for consistent annotation quality, clear instructions, and scalable delivery.

1. Scope & Guidelines

We define dataset type, annotation classes, labeling rules, edge cases, QA criteria, and delivery format.

2. Team Training

Annotators are trained on your project instructions, sample cases, labeling standards, and expected quality level.

3. Pilot Batch

We complete a pilot batch to calibrate quality, clarify edge cases, and align output before scaling.

4. Production Labeling

The annotation team processes the dataset according to agreed volume, timeline, and quality workflow.

5. Quality Control

Output is reviewed through sampling, consensus checks, corrections, and quality feedback loops.

6. Delivery & Reporting

We deliver structured annotated data with progress reporting, issue logs, and quality notes when required.

Built for AI Teams That Need Reliable Human Review

Our model is designed for companies that need more than random crowdsourcing. Contalents provides managed teams, controlled instructions, QA workflows, and project coordination to support serious AI data operations.

Managed annotation teams
Project coordinator and QA support
Arabic and multilingual support
Scalable labeling capacity
Secure data handling workflows
Flexible delivery formats

Frequently Asked Questions

Common questions companies ask before starting a text annotation or NLP labeling project.

What is text annotation?

Text annotation is the process of labeling text data so AI and machine learning models can understand meaning, intent, sentiment, entities, categories, and language patterns.

Do you provide Arabic text annotation?

Yes. Contalents provides Arabic text annotation services for formal Arabic, regional dialects, sentiment analysis, intent classification, and NLP datasets.

Can you support chatbot training data?

Yes. We support chatbot and AI assistant datasets including intent classification, conversation review, entity labeling, and response evaluation.

Do you provide quality control?

Yes. Text annotation projects can include training, pilot batches, review workflows, sampling, correction loops, and quality reporting.

Can you scale annotation teams?

Yes. Contalents can scale managed annotation teams based on dataset size, project deadline, language requirements, and quality complexity.

What output formats can you deliver?

Output format depends on the project requirements. We can support structured spreadsheets, JSON-style outputs, platform-based delivery, or client-specific formats.

Need Text Annotation Services?

Tell us about your dataset, language requirements, labeling rules, and quality expectations. Contalents will help you build a managed annotation workflow.

Talk to Us on WhatsApp