OUTSOURCE THIS ROLE

Outsource Image Annotators

Dedicated, precision-focused image annotation teams in Kenya, built and managed for you.

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

Key Responsibilities

Image annotators label visual content to create training data for computer vision models. They draw bounding boxes, create polygon masks, perform semantic segmentation, classify images, and tag objects within photographs, satellite imagery, medical scans, and other visual data. The precision of image annotation directly determines how well your computer vision models detect, recognize, and classify objects in production. Whether you are building models for autonomous vehicles, medical imaging, retail analytics, or content moderation, image annotators are the workforce behind your training data.

Bogner & Partners provides dedicated image annotators from our Nairobi operations center. Our annotators are trained on your specific annotation guidelines, object taxonomies, and quality thresholds. They work within your preferred annotation tools and deliver labeled datasets that meet the precision requirements of production-grade computer vision models.

  • Drawing bounding boxes around objects of interest with precise coordinates for object detection model training
  • Creating polygon and polyline annotations for irregularly shaped objects that require tighter boundary definitions
  • Performing semantic, instance, and panoptic segmentation by labeling every pixel in an image according to your class taxonomy
  • Classifying images into categories based on content, scene type, quality, or other attributes defined in your guidelines
  • Tagging and labeling objects within images including attributes like color, size, orientation, and occlusion level
  • Identifying and marking key points and landmarks for pose estimation, facial recognition, and skeletal tracking models
  • Flagging edge cases and ambiguous images to project leads for guideline clarification rather than guessing
  • Participating in peer quality reviews by cross-checking teammates’ work and flagging inconsistencies
  • Maintaining annotation quality and consistency across large image datasets by following guidelines precisely

Why Outsource Image Annotators to Kenya

Image annotation at scale requires large teams of trained annotators working consistently over extended periods. Building and managing this workforce in-house is expensive and operationally complex. Kenya offers a digitally literate, detail-oriented workforce at labor rates that make large-scale annotation projects economically viable. Kenyan annotators adapt quickly to annotation tools and guidelines, delivering the throughput and precision that AI projects demand.

With Bogner & Partners, your annotation team is dedicated and managed, not crowdsourced. This means your annotators learn your specific guidelines deeply, develop expertise in your domain, and deliver consistently higher quality than anonymous crowd workers. German management oversight adds structured QA processes that catch errors before they enter your training pipeline.

How Bogner & Partners Manages This Role

Image annotation quality requires disciplined project management and continuous quality monitoring:

  • Guideline training with visual examples including correct and incorrect annotations, edge cases, and decision criteria
  • Qualification testing before annotators begin production work to verify they meet your accuracy standards
  • Multi-tier QA processes including automated validation checks, peer review, and senior annotator audits
  • Inter-annotator agreement tracking to measure consistency and identify guidelines that need refinement

Your image annotators work within your preferred annotation platform — Labelbox, CVAT, V7, Scale AI, Label Studio, Supervisely, Roboflow, or others — and deliver labeled data in your required export format.

Ready to build a team that stays?

No minimum contract. Live in 30 days.

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Core skills

Bounding box precision
Semantic segmentation
Guideline adherence
Keypoint & landmark tagging
Edge-case flagging

Tools & platforms

LabelboxCVATV7Scale AILabel StudioSuperviselyRoboflowEncordSuperAnnotateSlackJiraGoogle 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

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Audio Annotator

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

FAQ

The full range for computer vision: bounding boxes, polygon and polyline masks, semantic, instance and panoptic segmentation, image classification, object tagging with attributes like occlusion and orientation, and keypoint or landmark annotation for pose estimation and facial recognition.

Whatever platform you already use — Labelbox, CVAT, V7, Scale AI, Label Studio, Supervisely, Roboflow or another — and we deliver labeled data in your required export format, since your annotators work inside your own tools during the 30-day deployment.

Through multi-tier QA: automated validation checks, peer review, and senior annotator audits, plus inter-annotator agreement tracking that measures consistency and surfaces guidelines that need refinement before errors reach your training pipeline.

A dedicated, managed team — not anonymous crowd workers, so your annotators learn your specific guidelines and object taxonomy deeply, build domain expertise over time, and label far more consistently than a rotating crowd ever could.

They flag it to a project lead for guideline clarification rather than guessing, and recurring ambiguities feed back into refined guidelines so the whole team labels the same way going forward.

About 30 days from discovery to live work — hand-picking, guideline training on visual examples, qualification testing, then shadowing — and because we recruit and manage the team, you can add annotators for large batches or wind down with 30 days’ notice, billed monthly with no lock-in.

Image annotators are one role within our data labeling outsourcing practice, so you can pair them with text, video or audio labelers under one dedicated account manager and one transparent monthly rate per specialist.

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