Text annotation is one of those behind-the-scenes jobs that can quietly shape the quality of an AI product. The model may get the attention, but the labeled data is what keeps the whole thing from drifting off course.

This is going to be a list of text annotation outsourcing companies that support AI teams, data teams, and growing businesses with labeling work for NLP, search, chatbots, sentiment analysis, entity recognition, content classification, and other language-based tasks. Some focus heavily on managed annotation teams, while others combine human reviewers with platforms, QA processes, and workflow support.

For companies moving fast, outsourcing text annotation can make sense when internal teams do not have the time, volume capacity, or language coverage to handle every dataset themselves. The right partner can help keep labeling consistent, reduce bottlenecks, and give technical teams more room to focus on model performance instead of annotation backlogs.

1. NeoWork

NeoWork provides text annotation outsourcing services, with a setup that fits companies working on AI, NLP, and content-heavy products. We support tasks like sentiment tagging, entity labeling, text classification, moderation review, and evaluation work for AI training datasets. The work is not just about adding labels to text. A lot of the value lies in keeping guidelines clear, catching unclear cases early, and making sure the same rules are followed across a large batch of records.

We also handle annotation work that connects text with other data types, such as product descriptions, user comments, images, or mixed media. That can be useful for e-commerce, tech, support automation, and safety-focused systems where text is only one part of the dataset. NeoWork’s model is built around stable teams rather than constantly changing annotators, which matters when the labeling rules take time to understand. Our 91% annualized teammate retention rate and 3.2% candidate selectivity rate help keep projects steady, especially when the same team needs to work through evolving guidelines, bilingual content, or ongoing QA feedback.

Key Highlights:

• Operations in Colombia and the Philippines for nearshore and offshore coverage
• Dedicated teams for text annotation and multimodal data labeling
• 91% annualized teammate retention rate
• 3.2% candidate selectivity rate
• Support for bilingual annotation and moderation workflows
• Quality checks for consistency, edge cases, and guideline alignment

Services:

• Text annotation outsourcing 
• Sentiment tagging and text classification
• Named entity recognition support
• Content moderation
• Evaluation sets
• Human feedback and supervised fine-tuning support

Contact Information:

• Website: www.neowork.com
• Facebook: www.facebook.com/neoworkteam
• LinkedIn: www.linkedin.com/company/neoworkteam
• Instagram: www.instagram.com/neoworkteam

2. InfoSearch BPO Services

InfoSearch BPO Services works in text annotation as part of its wider BPO, data management, and annotation service line. They handle tasks where words, phrases, sentences, or full documents need to be tagged so AI and machine learning systems can read the text in a more structured way. Their work covers areas such as text classification, entity annotation, entity linking, linguistic annotation, and sentiment annotation.

The company also connects text annotation with industry-specific data work. InfoSearch BPO Services works with financial analytics, insurance, healthcare, research, publishing, and media-related content, including medical record annotation for insurance claim processing. That kind of work needs more than quick labeling because small wording differences can change how a sentence should be understood. Their setup includes in-house annotators and compliance attention around GDPR and HIPAA, which is important when text contains sensitive records or business information.

Key Highlights:

• Text annotation for AI and machine learning datasets
• In-house annotation team
• Support for GDPR and HIPAA-related requirements
• Medical record annotation for insurance claim workflows

Services:

• Text classification
• Entity annotation and entity linking
• Linguistic annotation
• Data annotation and data labeling
• Human-in-the-loop annotation

Contact Information:

• Website: www.infosearchbpo.com
• E-mail: enquiries@infosearchbpo.com
• Facebook: www.facebook.com/infosearchbpo
• Twitter: x.com/ibposervice
• LinkedIn: www.linkedin.com/company/infosearchbpo
• Instagram: www.instagram.com/infosearchbpo
• Address: No. 237, Peters Road, Gopalapuram, Chennai - 600 086, Tamilnadu, India
• Phone: +91 44 42925000

3. Outsourced Staff

Outsourced Staff is an outsourcing company that helps businesses build remote text annotation teams instead of hiring every role locally or relying on scattered freelancers. Their model is more staffing-focused than platform-focused. They handle recruitment, screening, HR, payroll, time off, and employee support, while the client keeps control over the team’s daily workflow, goals, and annotation process.

Outsourced Staff help fill roles across language annotation, content annotation, data labeling, and quality control. The roles listed by the company cover POS taggers, named entity recognisers, sentiment analysis annotators, text categorisation annotators, semantic role labeling annotators, data validators, and QA annotators. 

Key Highlights:

• Staffing model for dedicated text annotation teams
• Client keeps control over workflow, tasks, and team goals
• HR, payroll, and employee support included
• Built around remote team setup

Services:

• Language annotation staffing
• Part-of-speech tagging roles
• Named entity recognition roles
• Sentiment analysis annotation roles
• Text summarisation annotation roles

Contact Information:

• Website: www.outsourcedstaff.com.au
• E-mail: info@outsourcedstaff.com.au
• Facebook: www.facebook.com/OutsourcedStaff.au
• LinkedIn: www.linkedin.com/company/outsourced-staff
• Instagram: www.instagram.com/outsourcedstaff.au
• Address: unit 13 161/163 S Creek Rd, Cromer, NSW 2099
• Phone: 1300 455 600

4. Hitech BPO

Hitech BPO provides text annotation services for companies working with AI training data, natural language processing, and machine learning workflows. Their text annotation work includes text classification, linguistic annotation, entity annotation, sentiment annotation, named entity recognition, entity classification, and intent recognition.

They take input text, clean the data, add annotations, run quality checks, and prepare the final output for later analysis or model training. Hitech BPO also connects text annotation with broader NLP solutions and industry coverage across areas like finance, retail, healthcare, geospatial, agriculture, robotics, and security.

Key Highlights:

• Structured process from input text to quality-checked output
• Support for multilingual annotation needs
• Work across several industry domains
• Combination of manual and automated annotation steps

Services:

• Text classification
• Linguistic annotation
• Entity annotation
• Sentiment annotation
• Named entity recognition
• Entity classification

Contact Information:

• Website: www.hitechbpo.com
• E-mail: info@hitechbpo.com 
• Facebook: www.facebook.com/hitechbpocompany
• Twitter: x.com/hitechbpo
• LinkedIn: www.linkedin.com/company/hi-tech-bpo
• Address: 2nd floor, Regis House, 45 King William Street, London, EC4R 9AN, United Kingdom

5. Subul Data Annotation

Subul Data Annotation is a Netherlands-registered social enterprise that provides data annotation, data collection, and data validation services for AI model development. Their annotation setup fits companies that need labeled and checked datasets before using them in machine learning workflows.

They have a social impact side that is tied directly to its workforce model. Subul Data Annotation creates work opportunities for refugees and disadvantaged communities, which gives the company a different profile from more traditional annotation vendors. They can be considered when a team needs human labeling support as part of a broader data preparation process, especially when the work also includes validation or mixed data types.

Key Highlights:

• Data annotation, collection, and validation services
• Work across retail, agriculture, healthcare, automotive, industrial, and geospatial sectors
• Support for AI model training data preparation

Services:

• Data annotation
• Data collection
• Data validation
• Dataset preparation for AI models
• Industry-specific annotation support

Contact Information:

• Website: subuldataannotation.com
• E-mail: info@subuldataannotation.com
• Facebook: www.facebook.com/subul.org
• LinkedIn: www.linkedin.com/company/subul
• Instagram: www.instagram.com/subul.orgn
• Address: Wilhelmina van Pruisenweg 55, 2595 AN The Hague, Netherlands.
• Phone: +31 6 42003694

6. ARDEM

ARDEM provides managed data annotation services for companies building AI, machine learning, document processing, and automation workflows. Their text annotation work covers NLP dataset preparation, document labeling, entity recognition, sentiment classification, intent classification, content categorization, and structured data preparation.

A lot of ARDEM’s annotation model comes from its background in BPO, data entry, document indexing, and data processing. That matters for text annotation because many datasets are not clean strings of text sitting in a neat file. They often come from business records, scanned documents, forms, operational files, or customer communication. ARDEM uses trained human reviewers, AI-assisted tools, workflow tracking, exception handling, and multi-step quality review to manage this kind of work.

Key Highlights:

• Managed data annotation model with trained human reviewers
• Text annotation support for NLP, LLM, chatbot, search, and document automation workflows
• Experience with business documents, claims, invoices, contracts, forms, surveys, and emails
• Multi-step quality review and exception handling

Services:

• Text annotation and NLP dataset preparation
• Document labeling and content categorization
• Entity recognition
• Sentiment classification
• Intent classification

Contact Information:

• Website: ardem.com
• Facebook: www.facebook.com/ARDEMIncorporated
• Twitter: x.com/ARDEMinc
• LinkedIn: www.linkedin.com/company/ardem-incorporated
• Phone: +1-908-359-2600

7. FBSPL

FBSPL is an AI-led outsourcing firm that supports insurance, finance, accounting, data, and digital operations. Their core work sits closer to business process support than a pure annotation platform, but the company’s AI and automation services connect well with text annotation outsourcing when businesses need structured review of documents, records, forms, and workflow data.

The company’s background in insurance, accounting, finance, and back-office workflows gives it a clear fit for text-heavy operational data. FBSPL adapts to existing workflows, uses automation and custom AI tools to reduce repetitive manual steps, and builds backup coverage into its operations so work does not stop because of leave or staff gaps. 

Key Highlights:

• Supervised dedicated teams for ongoing workflow support
• Ready-to-deploy talent for industry-specific processes
• Automation and custom AI tools used in manual workflow reduction
• Built-in backups for operational continuity

Services:

• AI and consulting support
• Data and digital services
• Insurance back-office support
• Finance and accounting process support
• Document and workflow review support
• Business process automation

Contact Information:

• Website: www.fbspl.com
• Facebook: www.facebook.com/FBSPLTeam
• LinkedIn: www.linkedin.com/company/fbsplteam
• Instagram: www.instagram.com/fbsplteam
• Address: 459 Columbus Ave, #401B, New York, NY 10024 
• Phone: +1-240-979-0061 

8. BUNCH

BUNCH offers text annotation outsourcing services for AI and machine learning teams that need labeled text data with ongoing project support. Their setup uses trained in-house annotators, manual QA, and client-specific annotation guidelines. BUNCH works with text data for NLP and machine learning use, and they build feedback loops into the process so guidelines can be adjusted when labels, edge cases, or quality thresholds need a closer look.

BUNCH also gives clients a choice between full-time laborers and per-project pricing, which makes the service less rigid than a fixed staffing model. For text annotation outsourcing, BUNCH is a fit for teams that want a managed labeling team, not just a tool or a loose group of freelancers.

Key Highlights:

• In-house annotation teams
• Manual QA processes
• Client-specific annotation guidelines
• Feedback loops for guideline improvement
• Full-time and per-project pricing options

Services:

• Text annotation for AI and machine learning
• Data labeling outsourcing
• Guideline design and iteration
• QA audits
• Project calibration
• Content moderation

Contact Information:

• Website: www.meetbunch.com
• E-mail: sales@meetbunch.com
• LinkedIn: www.linkedin.com/company/meetbunch
• Address: Capital House, Room 910, 9th Avenue, BGC, Taguig, Metro Manila, Philippines

9. HitechDigital

HitechDigital works with text annotation for NLP, machine learning, and AI systems that depend on structured language data. Their services cover text classification, entity recognition, semantic annotation, linguistic annotation, intent annotation, and phrase chunking. HitechDigital also works with unstructured and multilingual text.

Their process uses annotation tools, project management systems, and quality assurance methods rather than leaving the work as a manual labeling task only. HitechDigital has handled text data for areas such as chatbots, machine translation, customer email classification, news article validation, and domain-specific document labeling. 

Key Highlights:

• Text annotation for NLP and machine learning
• Work with unstructured and multilingual text data
• Annotation process supported by tools and QA methods
• Support for legacy workflow integration

Services:

• Text classification and categorization
• Entity recognition
• Semantic annotation
• Linguistic annotation
• Intent annotation

Contact Information:

• Website: www.hitechdigital.com
• E-mail: sales.us@hitechdigital.com
• Facebook: www.facebook.com/HitechDigitalSolutionsLLP
• Twitter: x.com/HiTech_OS
• LinkedIn: www.linkedin.com/company/hitechdigitalsolutions
• Address: Commerce House – 4, 9th Floor, Prahladnagar, Ahmedabad – 380015, Gujarat, India
• Phone: +91-794-000-3000

10. Velan

Velan offers outsourced data annotation and labeling services for AI and machine learning teams, with text annotation included alongside image, audio, video, and 3D LiDAR work. Their text annotation service focuses on helping NLP models understand human language through entity recognition, text classification, and sentiment analysis.

The company works with a pool of in-house annotators and follows a process that moves from consultation and tool selection to annotation, quality checks, and final delivery. Velan lists healthcare, autonomous vehicles, e-commerce, finance, and agriculture among the industries it serves. Velan is more suitable for teams that need a broader data labeling partner and may want text work handled together with other dataset types.

Key Highlights:

• In-house annotation talent pool
• Text annotation as part of broader data labeling services
• Data cleansing and validation included in the workflow
• Quality checks during the annotation process

Services:

• Entity recognition
• Text classification
• Sentiment analysis
• Data cleansing
• Dataset validation
• Image annotation

Contact Information:

• Website: www.velaninfo.com
• E-mail: info@velaninfo.com
• Facebook: www.facebook.com/VelanInfo
• Twitter: x.com/velan_info
• LinkedIn: www.linkedin.com/company/velan-info-services
• Address: 8 The Green, Suite 300 Dover, DE 19901 USA
• Phone: +1 516 717 2049

11. Mindy Support

Mindy Support provides text annotation services as part of its wider data annotation, data labeling, data processing, LLM, and customer service work. Their text annotation services cover OCR, transcription, classification and categorization, named entity recognition, and sentiment analysis. Mindy Support also works with other annotation types, including image, audio, video, and 3D point annotation, so text can sit inside a broader data workflow when needed.

Their minimum threshold for starting a new project is 735 productive man-hours per month, which means their setup is aimed more at steady annotation operations than very small one-off tasks. Mindy Support can also connect text annotation with LLM training, multilingual work, domain-specific models, and data anonymization.

Key Highlights:

• Large agent network across multiple countries
• OCR and transcription included in text-related services
• GDPR, HIPAA, ISO 27001:2013, and ISO 9001:2015 listed
• Support for multilingual and domain-specific LLM workflows

Services:

• OCR annotation and text recognition support
• Transcription
• Text classification and categorization
• Named entity recognition
• Data anonymization

Contact Information:

• Website: mindy-support.com
• E-mail: hello@mindy-support.com
• Twitter: x.com/mindysupport
• LinkedIn: www.linkedin.com/company/mindy-support
• Instagram: www.instagram.com/mindy_support
• Address: Gr. Xenopoulou 17, 3106 Limassol, Cyprus
• Phone: +35799911691

12. Lapiz Digital Services

Lapiz Digital Services works with text annotation for businesses that need unstructured text turned into structured training data for ML and NLP systems. Their service covers emails, chats, documents, reviews, and medical transcripts, with annotation work shaped around entities, intent, sentiment, emotion, grammar, structure, and multilingual needs. Lapiz Digital Services also brings in trained linguists and domain experts, which is useful when the text needs more context than a basic label.

Lapiz Digital Services starts with data collection or preparation, then sets up guidelines, taxonomies, and annotation rules before moving into annotation and multi-layer review. The company also handles delivery formats such as CSV, JSON, and XML, along with feedback loops, version control, and documentation. For regulated or sensitive text, they list GDPR and HIPAA-compliant workflows, PII anonymization, secure access, encryption, audit logs, and bias-aware annotation practices.

Key Highlights:

• Text annotation for ML and NLP datasets
• Work with emails, chats, documents, reviews, and medical transcripts
• Trained linguists and domain experts involved in annotation
• Multi-layer review with peer checks and audits
• GDPR and HIPAA-compliant workflows listed

Services:

• Named entity recognition
• Entity linking and disambiguation
• Coreference resolution
• Intent classification
• Document and ticket classification
• Topic annotation

Contact Information:

• Website: www.lapizdigital.com
• E-mail: contact@lapizdigital.com
• Facebook: www.facebook.com/lapizdigitalservices
• Twitter: x.com/lapizweb
• LinkedIn: www.linkedin.com/company/lapiz-digital-services
• Instagram: www.instagram.com/lapizdigitalservices
• Address: 3240 East State Street Ext., Hamilton, NJ 08619

13. Damco

Damco provides text annotation and metadata labeling services for enterprises working with AI and machine learning training data. Their text annotation work includes text categorization, semantic annotation, phrase chunking, entity linking, metadata labeling, and annotation support for machine learning datasets.

The company has been active in the digital services space for more than two decades and works across industries such as insurance, retail, healthcare, education, and FMCG. Damco’s text annotation setup uses professional annotators together with tools, APIs, scripts, and project methods to prepare and check datasets. 

Key Highlights:

• More than two decades in digital services
• Use of tools, APIs, scripts, and annotation methods
• Multi-tier monitoring and integrated quality control

Services:

• Text categorization
• Semantic annotation
• Phrase chunking
• Entity linking
• Metadata labeling
• Text annotation for machine learning

Contact Information:

• Website: www.damcogroup.com
• E-mail: info@damcogroup.com
• Facebook: www.facebook.com/DamcoSolutions
• Twitter: x.com/damcosol
• LinkedIn: www.linkedin.com/company/damco-solutions
• Instagram: www.instagram.com/lifeatdamco
• Address: Office 1001, Level 10, Ibn Battuta Gate Offices, Jebel Ali Dubai, UAE
• Phone: +971 4 550 7833

14. Shaip

Shaip delivers text annotation services for NLP, generative AI, LLM training, and broader AI training data work. Their text annotation work covers model training from scratch, fine-tuning open-source LLMs, model output evaluation, and reinforcement learning with human feedback.

Their process includes double review, Six Sigma-trained QA reviewers, inter-annotator agreement monitoring, audit-logged workflows, and delivery in schemas that fit the client’s training pipeline. They also handle prompt-response labeling, preference comparison, RLHF tasks, red-team prompts, harmlessness scoring, and document annotation with OCR post-editing, so their text work reaches beyond standard classification or entity tagging.

Key Highlights:

• Text annotation for NLP, generative AI, and LLM training
• Domain-trained annotators for healthcare, legal, finance, and multilingual work
• Six Sigma quality framework with two-stage annotation and QA
• Workflows for RLHF, model evaluation, and continuous human feedback

Services:

• Text classification and topic tagging
• Linguistic annotation
• Named entity recognition and entity linking
• Subject-action-object and relationship annotation
• Sentiment and emotion annotation

Contact Information:

• Website: www.shaip.com
• E-mail: marketing@shaip.com
• Facebook: www.facebook.com/weareshaip
• Twitter: x.com/weareShaip
• LinkedIn: www.linkedin.com/company/Shaip
• Instagram: www.instagram.com/weare_shaip
• Address: 568 Broadway, Suite 601, NY NY 10012, USA

15. SunTec India

SunTec India provides text annotation services for NLP systems, AI and ML models, and LLM pipelines. Their work focuses on structured training datasets for tasks where label consistency matters, especially when text includes domain terms from legal, medical, finance, retail, technology, or other specialized fields.

SunTec India works with named entity recognition, sentiment and emotion labeling, intent classification, dialogue annotation, text classification, relation extraction, linguistic annotation, and OCR post-correction.

Key Highlights:

• Text annotation for NLP, AI/ML, and LLM pipelines
• Domain-specialist annotators in healthcare, legal, finance, and technology
• Multi-tier quality validation with IAA scoring
• AI-assisted pre-labeling with human expert review

Services:

• Named entity recognition annotation
• Emotion and sentiment analysis annotation
• Intent classification and dialogue annotation
• Text classification and topic labeling
• Semantic and relation extraction

Contact Information:

• Website: www.suntecindia.com
• E-mail: info@suntecindia.com
• Facebook: www.facebook.com/SuntecIndia
• Twitter: x.com/SuntecIndia
• LinkedIn: www.linkedin.com/company/suntecindia
• Instagram: www.instagram.com/suntec_india
• Address: Floor 3, Vardhman Times Plaza Plot 13, DDA Community Centre Road 44, Pitampura New Delhi - 110 034
• Phone: +91 11 4264 4425

16. Acelerar Technologies

Acelerar Technologies provides data annotation services for machine learning teams that need labeled image, text, audio, and video data. Their text and NLP annotation work includes named entity recognition, sentiment analysis, intent classification, part-of-speech tagging, text summarization, and relation extraction. Acelerar Technologies trains annotation teams for domain-specific content such as medical, legal, financial, and technical text.

The company’s process is built around a pilot and calibration stage before full annotation starts. Acelerar Technologies reviews the client’s guidelines, taxonomy, and edge cases, then runs a pilot batch so the output can be checked before larger production work begins. After that, they use dedicated annotators, daily tracking, multi-tier QA, peer review, senior reviewer validation, and batch-level agreement scores.

Key Highlights:

• Text annotation as part of image, audio, video, and data labeling services
• Annotation in more than 15 languages
• Domain-trained teams for medical, legal, financial, and technical content
• Pilot batch and calibration before full-scale annotation
• Platform-agnostic workflow

Services:

• Named entity recognition
• Sentiment analysis
• Intent classification
• Part-of-speech tagging
• Text summarization
• Relation extraction

Contact Information:

• Website: www.acelerartech.com
• E-mail: contact@acelerartech.com
• Address: 12345 Lake City Way, NE #3189, Seattle, WA 98125 
• Phone: +1 (913) 733-2710

17. Tinkogroup

Tinkogroup offers text annotation services for companies preparing raw text for AI and machine learning models. Their text annotation work covers entity recognition, sentiment analysis, text classification, machine translation support, document annotation, topic modeling, abbreviation expansion, and dialogue annotation. Tinkogroup also works with related data services such as data enrichment, AI data verification, data tagging, AI data validation, data labeling, and NLP annotation.

Their annotation method follows a structured sequence: defining project requirements, carrying out text annotation, checking data quality, refining the output through collaboration, integrating the data with AI workflows, and improving annotation over time. Tinkogroup works across areas such as government, healthcare, transportation, finance, e-commerce, social media, insurance, security, and legal data.

Key Highlights:

• Text annotation for AI and ML training datasets
• Human-verified annotation process
• Support for linguistic nuance, slang, and custom categories
• Multi-level verification for annotation quality
• Offices listed in Estonia and Ukraine

Services:

• Entity recognition
• Sentiment analysis
• Text classification
• Machine translation support
• Document annotation
• Topic modeling
• Abbreviation expansion

Contact Information:

• Website: tinkogroup.com
• E-mail: info@tinkogroup.com
• Facebook: www.facebook.com/tinkogroup
• Twitter: x.com/tinko_group
• LinkedIn: www.linkedin.com/company/tinkogroup
• Instagram: www.instagram.com/tinkogroup
• Address: 10152 Vesivärava 50-201, Tallinn, Estonia

‍

Conclusion

Text annotation outsourcing companies sit in a fairly practical corner of AI work. They do not make the loudest part of the product, but they often decide whether the model learns from clean signals or from a messy pile of half-useful labels. That is why the choice of provider should come down to fit, not just size, pricing, or a long services list.

Some companies in this space are better suited for ongoing managed teams. Others are stronger for multilingual annotation, domain-heavy text, LLM feedback tasks, document labeling, or mixed datasets that include text, images, audio, and video. A legal dataset will not need the same setup as product reviews, support chats, clinical notes, or chatbot training data. The work may look similar from the outside, but the small details matter once labeling rules meet real language.

For many teams, the right partner is the one that can keep annotators aligned, handle edge cases without constant hand-holding, and stay consistent when the dataset grows. Good text annotation is rarely flashy. It is steady, careful work that helps AI systems understand language with fewer gaps, fewer mistakes, and less cleanup later.