The success of an NLP model largely depends on the quality of text annotation. Text annotation has its challenges, requiring skilled annotators, scalable workflows, and strong QA processes. Outsourcing to text annotation companies ensures consistent, accurate, and scalable annotation.
With the growing use of chatbots and virtual assistants, content moderation tools, document classification systems, voice to text translation models, text annotation services are gaining importance. Studies show that NLP data annotation done well can improve model accuracy to 90% and improve performance to 35%.
However, accuracy remains a major challenge. Companies often struggle to manage large volumes of unstructured text while maintaining consistency, multilingual support, and domain-specific accuracy within budget constraints. This is where text annotation companies play a critical role.
The NLP market is growing rapidly from $30.68B in 2024 to a projected $791.16B by 2034 (38.4% CAGR) making high-quality text annotation more critical than ever to build accurate, scalable AI models.
Outsourcing text annotation to professional text annotation companies offers scalability, access to domain-specific expertise, and faster dataset preparation. In this blog, we highlight the top 10 text annotation companies to consider for your text annotation projects.
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To help you identify reliable annotation partners, we evaluated companies based on their proven experience, ability to handle large-scale projects, availability of domain experts, multilingual capabilities, and several other key factors. Here are the top 10 companies we selected.
Scale AI
Scale AI is a leading AI data-infrastructure company that supports enterprises in building high-quality training datasets for machine learning and generative-AI systems. Founded in 2016 and headquartered in San Francisco, Scale provides large-scale text annotation services as part of its AI training data and model-evaluation workflows.
The company specializes in labeling and validating textual data for natural language processing (NLP), document understanding, content moderation, and large language model (LLM) training. Through its platform and human-in-the-loop workflows, Scale helps organizations generate accurate datasets for tasks such as named entity recognition, sentiment analysis, classification, and conversational data annotation.
Known for its enterprise-grade infrastructure and scalable workforce model, Scale AI supports technology companies, research teams, and global enterprises developing advanced AI systems.
Hitech BPO
Hitech BPO, an industry leader with over 30 years of experience, specializes in text annotation services. Headquartered in Ahmedabad, India, and with a global presence in the US and UK, the company boasts a workforce of 1200+ employees, including 300+ text annotation experts.
In just 10+ years in text annotation the company boosts of 98% on-time project delivery, 99% annotation accuracy and 2x faster turnaround time in all text annotation projects. They have 100+ completed projects with them so far.
The text annotation services they offer include text classification, linguistic annotation, entity annotation, sentiment annotation, intent recognition and NER & entity classification. From enhancing search query relevance to sentiment analysis and customer interaction, their text labeling services are designed to deliver precise training datasets that fuel innovation and efficiency.
Their impressive client retention rate stands at 95%, showcasing their commitment to delivering high-quality text annotation solutions. With top ratings across various platforms and services across 50 countries globally HitechBPO is a trusted partner for businesses seeking precise and tailored text annotation services to enhance their annotation projects.
Cogito Tech
Founded in 2011, based in New York Cogito Tech operates through strategically located innovation hubs in Europe, Asia-Pacific, Latin America and North America. With 1500 data experts the company leverages regional expertise, language proficiency and regulatory compliance to support global initiatives.
The text annotation services including semantic annotation, text categorization, phrase chunking and entity linking combines automated, AI-enabled workflows with skilled human oversight. With text annotation expertise the company has helped build successful NLP models across industries. The company claims to have experts for aligning documents with appropriate labelling techniques as per requirements provided by the clients.
With advanced certifications in data protection, the company ensures security and ensuing complete compliance.
HitechDigital
Founded in 1999, HitechDigital is an experienced text annotation service provider with over 30 years of industry expertise. Headquartered in Ahmedabad, with offices in the USA and UK, the company supports global brands with scalable text annotation solutions.
A dedicated team of 300+ text annotators delivers high quality training data with 97.5% accuracy the company has annotated 20mn+ text data points so far. They cover all processes in text annotation for machine learning, text classification and specific text labeling, including entity recognition, semantic annotation, intent annotation, phrase chunking, and linguistic annotation.
With 95% recurring clients, 2,500+ global customers, and experience across 50+ countries, the company is known for reliable delivery and strong quality control.
Need high-quality text annotation for your NLP models?
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Founded in 2012 and headquartered in California iMerit focusses on domain-specific annotation for multiple industries. The company has large CV and NLP teams in India, US, Bhutan and Europe. With a pool of 10,000+ active resources spanning 60+ countries the company is delivers quality and cost-effective projects in text annotation. With 20 M text data points annotated so far output accuracy is above 98%.
The text annotation services offered by them includes sentiment analysis, intent analysis, entity classification, NLP, image annotation and rapid annotation.
iMerit has been recognized with many awards of excellence for its tremendous growth, technology, and work culture. The company made it to the 2025 Inc 5000 list of fastest-growing private companies of America. They were also awarded Innovative Business of the Year 2025 by The Economic Times.
Appen
Established in 1996, headquartered in Australia Appen provides large-scale global data annotation for NLP, chatbots and search relevance. Powering AI innovation for more than 25 years the company offers text annotation services in over 235+ languages. Their diverse subject-matter expertise ensures your models understand and process natural language with high accuracy.
Types of text annotation offered by the company includes sentiment annotation, intent annotation, semantic annotation and named entity annotation. Appen’s advanced AI-assisted data annotation platform, combined with a global crowd of more than 1M contributors in over 200 countries, ensures the delivery of accurate and diverse datasets.
Appen offers the highest-level security in accordance with the GDPR and HIPAA. Appen is ISO 27001:2013 certified with TUV and holds SOC2 attestation.
CloudFactory
Founded in Nepal in 2010, CloudFactory offers managed, consistent, and scalable teams, ideal for long-term text annotation projects. Their mission is to empower talented people around the world to become the skilled humans in the loop vital for unlocking AI’s full potential. Spread across four continents they have offices in the UK, the US, Germany, Kenya, and Nepal.
With 700+ clients who trust them with their AI projects the company helps identify critical challenges, design AI solutions, and implement scalable, trustworthy AI systems that drive business outcomes.
With 1001-5000 employees and 3782 associated members as listed on their LinkedIn page the company have invested in security controls and features that protects the client data. For clients with heightened requirements, their endpoint upgrade enforces additional layers of workforce, IT, and network security.
Labelbox
Pioneering data-centric AI since 2018, headquartered in San Francisco, California, Labelbox provides fully managed data solutions across 40+ countries. The company provides both a robust annotation platform and managed services for text training data. With $189M funding to date the company partners with over 80% of leading AI labs in the US and the innovators defining the next frontier of AI.
From reinforcement learning data to custom evaluations, we partner with over 80% of leading AI labs in the US and the innovators defining the next frontier of AI. Capability of handling multilingual AI projects with native speakers in 75+ languages and 200+ professional domains ensures accurate and context-aware text annotation across global datasets.
With SOC 2 Type II certified infrastructure, 1 M+ knowledge workers, 50k+ phDs and 200k+ master degrees the company ensures high quality annotation and data security.
Shaip
Founded in 2021 headquartered in Louisville, Kentucky Shaip provides cognitive text data annotation services (or text labeling services) through their patented text annotation tool that is designed to allow organizations to unlock critical information in unstructured text.
The company offers comprehensive text annotation services, including named entity recognition (NER) to identify key information, sentiment analysis to understand customer opinions, text classification to categorize documents, and intent recognition for chatbot development.
Shaip offers specialized solutions for multiple sectors and use cases including healthcare, e-Commerce, retail, BFSI, automotive, IT and telecom. The company skilled in multilingual training data has expertise in multiple languages including English, Hindi, French, German and Arabic. The solutions suit a wide array of linguistic needs.
With 30,000+ collaborators and highest process efficiency with robust 6 sigma stage-gate process the company offers web-based end-to-end platform, high quality, faster TAT and seamless delivery.
Clickworker
The company offers scalable crowd-sourced data annotation for various text-based tasks. With a crowd of over 8 million, the company helps you maximize your algorithms’ potential by generating, labeling, and validating unique AI datasets tailored specifically to your needs. They also provide a solution that allows you to quickly analyze your AI’s output.
clickworker offers scalable solutions in 45 languages and in more than 70 target markets. As a full-service provider, clickworker offers both standard and customized solutions for data-oriented projects.
Based in USA and Germany the company has workforce located in 136 countries. With over 20 years of micro-task expertise the company has completed over 1 million projects. 100% GDPR compliant, the company aims towards sustainability commitment too.
Conclusion
The value of high-quality text annotation to build accurate models cannot be contested. But high-quality text annotations have their own challenges requiring high quality expertise and capabilities. Outsourcing to reliable text annotation companies helps businesses scale AI development more efficiently. It is always a good idea to select an outsourcing partner based on your requirements and the partner’s capabilities.
FAQs
Text annotation in NLP (Natural Language Processing) is a process that converts unstructured data into structured one. It trains AI on different parts of text, adds labels or tags to raw text so that machines can understand human language and are able to process effectively. This improves NLP model accuracy and helps AI understand context and tone.
Outsourcing text annotation for NLP projects offers multiple benefits to companies. Outsourcing partners have domain trained annotators, follow better compliance and are equipped with advanced technology. Access to trained teams, structured workflows, and QA systems allows you to process huge volumes of records very quickly. The data training remains consistent and accurate leading to cleaner datasets and better model accuracy.
Text annotation makes the training data clear, consistent and meaningful. Text annotation reduces ambiguity in training data and ensures consistent learning signals. This helps models produce accurate outputs. They help models understand the context not just words. It further boosts performance across NLP tasks enabling better model generalization supporting quality control through agreement metrics.
Industries that benefit most text annotation include healthcare & life sciences, banking, financial services & insurance (BFSI), e-commerce & retail, legal, customer support, media and real estate.
The biggest challenges in text data labelling usually comes from language complexity, human variability, and scale. The common ones include ambiguity in language, inconsistent labelling across annotators, poor annotation guidelines and class imbalance in datasets. Language variation across regions and cultures also needs expert handling as often same word may have different meanings in different cultures.
Text annotation companies work through layered quality systems, so accuracy is measured, enforced, and continuously improved. To begin with they have clear, detailed annotation guidelines that removes any kind of guess work and aligns all annotators. Their annotators are domain trained that helps reduce any misinterpretation and improves precision. And most important their AI-assisted validation tools speed up workflows while maintaining accuracy.
Text annotation companies are not just into text labelling. They provide complete services that support the entire NLP lifecycle, from raw data preparation to model-ready datasets. Some of the common services they provide include core text annotation services, advanced linguistic annotation, data classification, content moderation, compliance covering complete data annotation solutions.
This is a very tricky thing and needs complete due diligence before you select the partner. Your selected partner should have the capability to consistently deliver high-quality, scalable, and domain-accurate data. Before evaluating the vendor first get complete clarity on your requirement. Based on your priority select the vendor. Evaluate their pricing, availability and long-term fit before you take a call.
Yes, most top text annotation companies can handle multilingual data. They hire native language annotators who understand the slang and local tone. These companies don’t rely on a single guideline; they have different guidelines for different languages. This ensures consistency while respecting linguistic differences. Companies also use AI-assisted multilingual annotation that speeds up large-scale multilingual projects.
The cost for outsourcing text annotation depends on the complexity of the task, volume and how quick you need it. It also varies on the vendor’s location. But generally outsourcing text annotation costs between $0.03 and $1 per record or $4 to $12 per hour, depending on complexity, domain expertise, and quality requirements. Simple tasks cost less, while specialized or high-accuracy projects cost more.
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Snehal Joshi , Head of Business Process Management at HabileData, leads a 500-member team of data professionals, having successfully delivered 500+ projects across B2B data aggregation, real estate, ecommerce, and manufacturing. His expertise spans data hygiene strategy, workflow automation, database management, and process optimization - making him a trusted voice on data quality and operational excellence for enterprises worldwide. 🔗Connect with Snehal on LinkedIn
