OUTSOURCE THIS ROLE

Outsource Text Annotators

Dedicated, English-fluent text annotation teams in Kenya, trained on your NLP schema and run for you.

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Cost Savings70%
Deployment30 Days
Starting PriceFrom €755/mo
ComplianceGDPR + ISO 27001

Key Responsibilities

Text annotators label and classify written content to create training data for natural language processing models. They identify named entities, classify sentiment, tag parts of speech, annotate relationships between concepts, and categorize documents. High-quality text annotation powers the NLP applications that businesses rely on for chatbots, search engines, content moderation, document processing, and language understanding.

Bogner & Partners provides dedicated text annotators from our Nairobi operations center. Our annotators are trained in your specific NLP tasks, annotation schema, and quality standards. With strong English proficiency and German management oversight, they deliver the linguistic accuracy your NLP projects require.

  • Named entity recognition — identifying and tagging people, organizations, locations, dates, and custom entity types in text
  • Sentiment analysis labeling — classifying text passages, reviews, or social media posts by emotional tone and polarity
  • Text classification — categorizing documents, emails, or messages into predefined topic or intent categories
  • Relation extraction — identifying and labeling relationships between entities mentioned in text
  • Part-of-speech tagging and syntactic annotation for linguistic analysis and grammar model training
  • Coreference resolution — linking pronouns and references to the entities they refer to within a document
  • Maintaining annotation consistency across large text corpora by strictly following project guidelines and taxonomies

Why Outsource Text Annotators to Kenya

Text annotation for English-language NLP requires annotators with native or near-native English proficiency. Kenya’s education system produces professionals with strong English language skills and the ability to understand nuance, context, and idiomatic expressions — critical capabilities for tasks like sentiment analysis and entity recognition.

Outsourcing text annotation to Bogner & Partners gives you a dedicated, managed team at a fraction of the cost of hiring in English-speaking Western markets. Our team structure ensures consistency that crowdsourced annotation platforms often struggle to achieve.

How Bogner & Partners Manages This Role

Text annotation quality depends on linguistic understanding and consistency. Our management approach includes:

  • Guideline workshops that walk annotators through your annotation schema with real examples, edge cases, and decision trees
  • Qualification testing before production begins to verify each annotator’s understanding of your specific task
  • Inter-annotator agreement measurement to quantify consistency and identify areas where guidelines need clarification
  • Ongoing calibration sessions where annotators discuss difficult examples and align on correct labeling decisions

Your text annotators work within your NLP annotation platform — Prodigy, Doccano, Label Studio, Labelbox, or others — and deliver labeled datasets in your required format.

Ready to build a team that stays?

No minimum contract. Live in 30 days.

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Core skills

Named entity recognition
Annotation consistency
Sentiment & intent labeling
Guideline adherence
Relation & coreference tagging

Tools & platforms

ProdigyDoccanoLabel StudioLabelboxbratINCEpTIONAmazon SageMaker Ground TruthspaCyGoogle SheetsJiraSlackAsana

We train on your exact stack during the 30-day deployment — the list above is representative, not exhaustive.

Every role comes fully managed

Dedicated team leads

Daily supervision and real-time quality handling.

QA analysts

Interaction audits, performance scoring, and coaching.

Account manager

One point of contact for reporting and escalations.

Continuous training

Ongoing updates on your product and processes.

WHY IT MATTERS

The best support teams are the ones that stay. The rep who learned your product last quarter is still there next year — no constant re-hiring, re-training, or knowledge loss walking out the door.

WHAT THAT BUYS YOU
Zero
Onboarding, recruitment and setup fees
12+ mo
Average rep tenure on account

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FAQ

Yes. Kenya’s education system produces professionals with near-native English who read tone, context, and idiom accurately, which is why our team handles subjective work like sentiment polarity and intent labeling as reliably as they tag named entities.

We measure inter-annotator agreement to quantify consistency, run calibration sessions where annotators align on difficult examples, and enforce your taxonomy strictly, so labels stay uniform even as the dataset scales.

Your team works directly inside your NLP annotation stack — Prodigy, Doccano, Label Studio, Labelbox, or another tool you already use — and delivers labeled datasets in your required format.

We run guideline workshops that walk annotators through your schema with real examples, edge cases, and decision trees, then require each annotator to pass qualification testing before they touch production data.

Yes. Annotation happens inside your own platform and systems from our Nairobi operations center, which is GDPR-compliant, ISO 27001-certified, and secured with biometric access control, so your source text never leaves your stack.

About 30 days. We spend that window hand-picking annotators, running your schema through guideline workshops, and qualification-testing each person before production, so the team ramps in your task rather than learning it live.

You get one dedicated, managed team instead of anonymous crowd workers — the same annotators learn your guidelines, calibrate together, and stay on the project, which delivers the labeling consistency crowds struggle to reach. Learn more about our data annotation outsourcing.

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