OUTSOURCE THIS ROLE

Outsource Video Annotators

Dedicated, detail-obsessed video annotation teams in Kenya, built and run for you.

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

Key Responsibilities

Video annotators label objects, actions, and events in video footage frame by frame. They track objects across sequences, annotate temporal events, classify activities, and create the labeled video data that trains computer vision models for applications like autonomous driving, surveillance, sports analytics, and content moderation. Video annotation is one of the most labor-intensive data labeling tasks, requiring patience, precision, and the ability to maintain consistency across thousands of frames.

Bogner & Partners provides dedicated video annotators from our Nairobi operations center. Our annotators handle the full range of video annotation tasks, from simple object tracking to complex activity recognition labeling. German management oversight and structured QA processes ensure the frame-level accuracy your models need.

  • Object tracking — drawing and maintaining bounding boxes or masks around objects as they move through video frames
  • Temporal annotation — marking the start and end times of events, actions, and activities within video sequences
  • Activity and action recognition labeling — classifying what is happening in video segments based on your taxonomy
  • Key frame annotation — labeling critical frames that are then interpolated across the sequence
  • Scene classification — categorizing video segments by environment, lighting conditions, weather, or other contextual attributes
  • Multi-object annotation — tracking and labeling multiple objects simultaneously within complex scenes
  • Maintaining consistency across long video sequences by ensuring labels, tracking IDs, and classifications remain accurate frame to frame

Why Outsource Video Annotators to Kenya

Video annotation requires large teams working for extended periods due to the volume of frames in even short video clips. Kenya offers the workforce scale needed for video annotation at a cost structure that makes large projects economically feasible. Kenyan annotators bring the focus and attention to detail that frame-by-frame labeling demands.

With Bogner & Partners, your video annotation is managed as a structured operation, not outsourced to an anonymous crowd. Dedicated annotators learn your specific guidelines and maintain consistent quality throughout your project. This results in cleaner training data and better model performance.

How Bogner & Partners Manages This Role

Video annotation quality requires frame-level precision and our processes support that:

  • Detailed annotation guideline training with video walkthroughs, edge case examples, and hands-on practice before production
  • Frame-level QA sampling where a percentage of annotated frames are reviewed by senior annotators for accuracy
  • Tracking consistency checks to ensure object IDs and labels remain correct across long sequences without drift
  • Progress monitoring with throughput dashboards that track annotation speed and quality metrics in real time

Your video annotators work within your preferred video annotation platform — CVAT, V7, Supervisely, Scale AI, or others — and deliver outputs in your required format.

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No minimum contract. Live in 30 days.

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Core skills

Object tracking accuracy
Temporal event annotation
Frame-to-frame consistency
Activity recognition labeling
Scene classification

Tools & platforms

CVATV7SuperviselyScale AILabelboxEncordSuperAnnotateVoTTGoogle SheetsSlackJiraAsana

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

FAQ

The full range: object tracking with bounding boxes or masks across frames, temporal annotation of event start and end times, activity and action recognition, key frame labeling for interpolation, scene classification, and multi-object tracking in complex scenes.

Tracking consistency checks. Senior annotators verify that object IDs, labels, and classifications hold frame to frame across thousands of frames without drift, which is where most video training data quietly degrades.

Whichever one you already use — CVAT, V7, Supervisely, Scale AI, or another. Your annotators work inside your platform and deliver in your required output format, so labels drop straight into your training pipeline.

Frame-level QA sampling. A percentage of annotated frames is reviewed by senior annotators against your guidelines, and throughput dashboards track annotation speed and quality metrics in real time so problems surface early, not at delivery.

Yes. Video annotation is labor-intensive by nature, and Nairobi gives us the workforce scale to staff large frame-by-frame projects as a managed, dedicated team rather than an anonymous crowd — so quality stays consistent as volume grows.

Detailed guideline training before any production work — video walkthroughs, edge-case examples, and hands-on practice on your taxonomy, all completed during the ~30-day deployment on your exact platform and workflow.

Your video stays in your stack. Annotators work inside your annotation platform from our Nairobi center, which is GDPR-compliant, ISO 27001-certified, and secured with biometric access control — nothing is copied out to label it.

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