OUTSOURCE THIS ROLE

Outsource Data Annotators

Dedicated, detail-obsessed data annotation teams in Kenya, trained on your guidelines and run for you.

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

Key Responsibilities

Data annotators label, tag, and classify raw data to create the training datasets that machine learning models need to learn. They work across data types — images, text, audio, and video — applying labels according to detailed annotation guidelines. The quality of annotated data directly determines the accuracy and performance of AI models, making skilled annotation a critical function for any organization investing in machine learning.

Bogner & Partners provides dedicated data annotators from our Nairobi operations center. Our annotators are trained on your specific annotation guidelines, taxonomy, and quality standards. Managed by our German-Kenyan leadership team, they deliver high-accuracy labeled data at scale for your AI and ML projects.

  • Labeling data according to project-specific guidelines including bounding boxes, polygons, semantic segmentation, and classification tags
  • Following annotation taxonomies and ontologies precisely to ensure consistency across the dataset
  • Handling multiple data types including images, text documents, audio clips, and video sequences as project requirements demand
  • Reviewing and correcting annotations from peer annotators as part of quality assurance workflows
  • Flagging edge cases and ambiguities to project leads for guideline clarification rather than making assumptions
  • Meeting throughput and accuracy targets while maintaining consistent labeling quality throughout long annotation projects
  • Adapting to evolving guidelines as project requirements change and annotation standards are refined

Why Outsource Data Annotators to Kenya

Data annotation is labor-intensive work that requires large teams to complete at production scale. Kenya offers an educated, digitally literate workforce at competitive rates, making it an ideal location for annotation operations. Kenyan annotators bring strong attention to detail, English proficiency for text annotation tasks, and the discipline to maintain quality across high-volume projects.

With Bogner & Partners, you do not manage a crowdsourced workforce. You get a dedicated, managed team working from our facility in Nairobi, with quality oversight, process management, and direct accountability built in. This produces significantly higher consistency and accuracy than distributed crowdsourcing platforms.

How Bogner & Partners Manages This Role

Data annotation quality requires active management at every stage:

  • Comprehensive guideline training before any production work begins, with qualification tests to verify annotator understanding
  • Multi-tier quality assurance including consensus scoring, spot checks, and statistical analysis of inter-annotator agreement
  • Dedicated QA annotators who review production output and provide feedback to maintain accuracy across the team
  • Performance dashboards tracking throughput, accuracy rates, and individual annotator quality metrics

Your data annotators work within your preferred annotation platform — Labelbox, Scale AI, CVAT, Label Studio, Prodigy, or others — and follow your established annotation workflows.

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No minimum contract. Live in 30 days.

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Core skills

Annotation accuracy
Guideline adherence
Image & video labeling
Inter-annotator consistency
Edge-case judgment

Tools & platforms

LabelboxScale AICVATLabel StudioProdigyAmazon SageMaker Ground TruthV7SuperAnnotateRoboflowJiraSlackGoogle Sheets

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

Related roles

Part of Data Annotation Outsourcing

Image Annotator

Labels images with bounding boxes, segmentation masks, and classifications for computer vision model training.

Text Annotator

Annotates text data with entity tags, sentiment labels, and linguistic features for NLP model development.

Audio Annotator

Labels and transcribes audio data with precise timestamps, speaker tags, and sentiment annotations for AI training.

FAQ

Images, text, audio, and video. Our annotators draw bounding boxes, polygons, and semantic segmentation, apply classification tags, and follow your taxonomy or ontology so labels stay consistent across the whole dataset.

Yes. Your team labels directly in your preferred tool — Labelbox, Scale AI, CVAT, Label Studio, Prodigy, or another — following your established workflows, so annotations land in your pipeline exactly where you expect them.

You get a dedicated, managed team in our Nairobi center rather than an anonymous crowd — the same annotators learn your guidelines, build context over months, and are held accountable, which produces far higher consistency and accuracy than distributed crowdsourcing.

Multi-tier QA. Every annotator qualifies on your guidelines before touching production work, and dedicated QA annotators run consensus scoring, spot checks, and inter-annotator agreement analysis, with feedback loops that hold accuracy steady as volumes grow.

Annotators flag it rather than guess — edge cases and ambiguities go to project leads for clarification, and once your guidelines are refined the whole team adapts to the new standard so nothing is labeled inconsistently in the meantime.

Yes. Annotation is volume-heavy work, so we add or remove seats as your project ramps — billing is monthly with no minimum lock-in, and you can wind down with 30 days’ notice; see the savings calculator to size a team.

About 30 days. We discover your requirements, hand-pick and train annotators on your guidelines and platform, then shadow and qualification-test them before they touch production data — so early output already meets your accuracy targets rather than needing rework.

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