Text annotation services
High-quality text annotation data to train generative AI, chatbots, search engines, sentiment analysis, and other NLP applications with greater accuracy.
Comprehensive text annotation solutions
Enterprise-Grade Project Management
We deliver text annotation as a fully managed service – handling everything from project design to final delivery. Each engagement includes a dedicated project manager who oversees setup, workforce allocation, quality controls, and delivery timelines. Our teams work as an extension of yours, so your experts can stay focused on model development.
Specialized Global Workforce
Through LXT and our subsidiary clickworker, we provide access to over 7 million skilled contributors, including 250K+ domain experts across 100+ fields. Our network spans 1,000+ language locales and 150+ countries, giving you access to native speakers and culturally aligned annotators for even the most nuanced use cases.
Structured Multi-Layer Quality Assurance
All annotations go through rigorous quality workflows – designed to meet enterprise standards. This includes guideline calibration, gold data, multi-pass reviews, and final validations before delivery. Sensitive projects can be completed in one of our ISO 27001-certified secure facilities, with end-to-end compliance support.
LXT for text annotation
Whether you’re training a large language model (LLM), building a chatbot, or refining enterprise NLP applications, LXT provides high-quality, contextualized text annotations that improve model accuracy. We support a wide range of tasks, languages, and annotation types, all tailored to your specific project needs. With managed service delivery and scalable capacity, we help you move from prototype to production – fast.
Our text annotation services include:
Language analysis
Content evaluation
Linguistic annotation
Content moderation
Localization
Dialog analysis
Named entity tagging/NER
Domain annotation
Pronunciation dictionary creation
Grammatical markup
Sentiment annotation
Intent annotation
Intent classification
Toxic language identification
Keyword annotation
Text annotation related services:
Caption creation/validation
Text summarization
Secure text annotation services
Sensitive text data – such as financial records, medical notes, or internal documents – requires strict safeguards. LXT delivers secure annotation workflows with ISO 27001-certified facilities and full compliance with SOC 2, GDPR, and HIPAA standards. For high-risk projects, we offer supervised labeling in access-controlled environments, handled only by vetted experts.
From anonymization and PII redaction to data residency and restricted access protocols, we work with you to build a secure solution tailored to your compliance needs.
Top industry uses of text annotation
Text annotation enables AI systems to read, interpret, and generate human language with accuracy and context. It powers Natural Language Processing (NLP), LLMs, and generative AI across industries – helping organizations automate workflows, extract insights, and improve digital experiences.
Automotive
Healthcare
Annotate clinical documentation, detect symptoms in notes, and de-identify patient records for AI training.
Education & eLearning
Media & entertainment
Finance & insurance
Legal & compliance
Text annotation for AI
Text annotation is the process of creating metadata in the form of labels for text data by tagging keywords, phrases, and sentences so that machine learning models can understand and communicate with humans using natural language.
Text annotation is used to train NLP algorithms used in chatbots, automated speech recognition (ASR) systems, search engines, generative AI applications, and more. It is also used to automate document reviews and to extract insights from large databases of information. To ensure accuracy, it is critical to work with native speakers so that the AI solution will work effectively in each target market.
Further annotation services
Looking to build multi-modal AI systems? LXT offers complete annotation services across data types – so you can combine insights from text, audio, image, and video with confidence.
Data annotation
Comprehensive data labeling across all modalities to support NLP, computer vision, and generative AI use cases.
Video annotation
Label frames for action recognition, scene understanding, and object tracking in dynamic environments.
Audio annotation
Classify, and tag spoken content or background sounds to train conversational AI and speech models.
Image annotation
Label visual data with bounding boxes, segmentation, and metadata to power computer vision systems.
