Data Annotation Outsourcing
Accurate image, text, audio, and video annotation for AI and ML models.
From image segmentation to LLM training data. Precision labeling at scale, by a dedicated Nairobi team.
Image Annotation
Bounding boxes, polygons, semantic segmentation, instance segmentation, and keypoint annotation for computer vision models. We handle images from every domain — medical, automotive, retail, agriculture, satellite, and more.
Text Annotation
Fine-tuning datasets, preference ranking, and model evaluation for LLM teams — plus classic NLP labeling: entity recognition, classification, and sentiment.
Video Annotation
Frame-by-frame object tracking, action recognition, temporal segmentation, and scene classification. Supporting video AI for surveillance, autonomous systems, and media analytics.
Annotation Types
Our teams are trained across the full spectrum of data annotation techniques.
Drawing rectangular boxes around objects in images for object detection models. Used in autonomous driving, retail analytics, security systems, and industrial inspection.
Tracing precise outlines around irregularly shaped objects. Essential for applications requiring higher accuracy than bounding boxes, such as medical imaging, aerial imagery analysis, and agricultural technology.
Classifying every pixel in an image into predefined categories. Used for scene understanding in autonomous vehicles, satellite imagery analysis, and medical diagnostics.
Combining semantic segmentation with individual object identification, distinguishing between separate instances of the same class. Critical for robotics, warehouse automation, and advanced visual recognition.
Placing specific points on objects to identify key features --- facial landmarks, body pose estimation, hand gesture recognition, and animal posture tracking.
Categorizing text documents and identifying named entities (persons, organizations, locations, dates) within text. Used for natural language processing, chatbot training, sentiment analysis, and content moderation.
Writing and curating instruction and fine-tuning datasets, ranking model responses for preference training (RLHF), rubric-based evaluation of model outputs, and red-team prompt writing. The human data work behind training and improving large language models. Explore text & LLM data services.
Transcribing speech, labeling speakers, identifying sound events, and annotating audio segments. Supports speech recognition, voice assistant training, and audio analytics. Explore audio annotation.
Annotating objects across video frames to train tracking algorithms. Used in surveillance, sports analytics, autonomous driving, and augmented reality applications.
Why Outsource Data Annotation
Scale to 100+ Annotators
AI projects require thousands to millions of labeled data points. Bogner & Partners scales annotation teams to 100+ annotators from our Nairobi facility — without the lead time and overhead of in-house hiring.
Three-Tier Quality Assurance
Every labeled dataset passes through three review stages: annotator self-check, senior reviewer validation, and QA analyst audit with inter-annotator agreement metrics. Accuracy targets vary by method — typically 99%+ for classification and bounding boxes, 95%+ for complex segmentation and video tracking.
EUR 4.55/Hour, Fully Loaded
Save 70% compared to running the same team in-house. Put your own numbers into the savings calculator to see your exact savings.
Teams Deployed in 2–4 Weeks
Dedicated annotation teams trained on your specific guidelines and ready to start production within 2–4 weeks. For ongoing projects, we maintain bench capacity to handle volume spikes without delay.
Consistent Labels Across Your Dataset
Large annotation projects suffer when quality varies between annotators. Our standardized training, detailed annotation guidelines, and continuous QA monitoring ensure uniform labeling across your entire dataset.
ISO 27001 Certified Data Handling
Your training data is protected under ISO/IEC 27001:2022 certification and GDPR compliance. Sensitive data — medical images, financial documents, personal information — handled with enterprise-grade access controls.
Staff your team with exactly the expertise you need
University-educated annotators trained in your specific domain — from image segmentation to LLM training data.
Data Annotation Across Industries
Autonomous Vehicles
- LiDAR point cloud annotation
- Lane detection & road marking
- Pedestrian & vehicle tracking
- Traffic sign classification
- 3D bounding box labeling
Healthcare & Medical
- Medical image segmentation
- X-ray & MRI annotation
- Pathology slide labeling
- Clinical text NER
- Patient record classification
E-Commerce & Retail
- Product image tagging
- Visual search training data
- Review sentiment labeling
- Category classification
- Recommendation engine data
Financial Services
- Document extraction & OCR
- Transaction classification
- Fraud detection training data
- KYC document verification
- Financial text NER
Agriculture & Environment
- Crop health image annotation
- Satellite imagery segmentation
- Pest & disease detection
- Yield estimation labeling
- Drone imagery analysis
Security & Surveillance
- Object detection & tracking
- Facial recognition training
- Anomaly detection labeling
- License plate recognition
- Crowd density estimation
Annotation Process
Every project follows a structured workflow with built-in quality gates at each stage.
Step 1: Project Scoping
We analyze your data types, annotation requirements, quality targets, and volume expectations.
Step 2: Guideline Development
Detailed annotation guidelines created in collaboration with your ML team.
Step 3: Team Training
Annotators trained on your specific guidelines with test sets and feedback loops.
Step 4: Pilot Annotation
Initial batch annotated and reviewed to calibrate quality before full production.
Step 5: Production
Full-scale annotation with ongoing QA checks and progress reporting.
Step 6: Delivery & Iteration
Labeled data delivered in your required format with quality metrics.
FAQ
Data annotation is the process of labeling raw data — images, text, audio, or video — so that machine learning models can learn from it. Accurate labels are what allow AI systems to recognize objects, understand language, transcribe speech, and track movement. The quality of your labeled data directly determines the performance of your models.
Building effective AI models requires massive volumes of accurately labeled training data. Data annotation is labor-intensive, repetitive, and difficult to scale with in-house resources alone. Outsourcing to a managed provider like Bogner & Partners gives you trained annotation teams, built-in quality assurance, and the ability to scale to 100+ annotators — at a fraction of the cost of European in-house teams.
We handle image annotation (bounding boxes, polygons, segmentation), text annotation (NER, sentiment, classification), audio annotation (transcription, diarization), and video annotation (object tracking, temporal segmentation).
We work with all major platforms including Labelbox, Scale AI, V7, CVAT, Label Studio, SuperAnnotate, and Prodigy. We also work with cloud-native tools like Amazon SageMaker Ground Truth and Google Vertex AI.
We target accuracy rates of 95% or higher, depending on the annotation type and complexity. Accuracy targets are defined during project scoping and monitored throughout production via multi-level QA reviews and inter-annotator agreement metrics.
We can ramp up annotation teams within 2-4 weeks depending on the volume and complexity of the project. For ongoing projects, we maintain bench capacity to accommodate volume increases without significant delay.
Yes. Our ISO 27001 certification and GDPR compliance framework cover the handling of sensitive data including medical images, financial documents, and personal information. We implement additional access controls and data handling procedures for sensitive projects.
We serve autonomous vehicles, healthcare/medical imaging, e-commerce, fintech, agriculture, security/surveillance, retail, and any industry building AI/ML models.
Get in Touch
Have a question or ready to talk? Email us at info@bognerpartners.com or use the form below.
Thank you for reaching out. We typically respond within 24 hours.
Please try again or email us directly at info@bognerpartners.com.