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Outsource Annotation Project Managers

Fully managed annotation project managers in Kenya, running your labeling projects from kickoff to delivery.

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

Key Responsibilities

Annotation project managers plan, coordinate, and oversee data labeling projects from kickoff to delivery. They translate your ML team’s requirements into actionable annotation guidelines, manage annotator teams, monitor quality and throughput, and ensure projects are delivered on time and within budget. As the bridge between your data science team and the annotation workforce, they ensure that the labeled data you receive meets the specifications your models need.

Bogner & Partners provides dedicated annotation project managers from our Nairobi operations center. Our project managers are experienced in managing large-scale annotation operations across image, text, audio, and video data types. They coordinate all aspects of your labeling projects, working under German management oversight to deliver results that meet your quality and timeline expectations.

  • Translating ML requirements into annotation guidelines by working with your data science team to define labeling standards, taxonomies, and quality thresholds
  • Planning and scoping annotation projects including timeline estimation, team sizing, tool selection, and budget forecasting
  • Recruiting, training, and onboarding annotators for specific projects, including guideline training and qualification testing
  • Managing daily annotation operations including task assignment, progress tracking, and bottleneck resolution
  • Monitoring quality metrics including accuracy rates, inter-annotator agreement, and QA pass rates throughout the project lifecycle
  • Coordinating with your ML engineers on guideline iterations, edge case decisions, and data delivery schedules
  • Reporting project status including throughput, quality, budget utilization, and risk factors to stakeholders
  • Optimizing annotation workflows to improve efficiency, reduce rework, and accelerate delivery timelines

Why Outsource Annotation Project Managers to Kenya

Managing annotation projects requires a specific blend of technical understanding, people management, and operational expertise. Hiring this talent in-house means competing for candidates who understand both ML workflows and large-team operations. Outsourcing project management to Kenya through Bogner & Partners gives you experienced annotation managers at a significantly lower cost, while our German oversight ensures project governance meets international standards.

Kenyan project managers in our team have managed labeling operations for clients across industries including autonomous driving, healthcare AI, e-commerce, and natural language processing. They understand the challenges of maintaining quality at scale and have the operational experience to keep your projects on track.

How Bogner & Partners Manages This Role

Annotation project managers operate within a proven project delivery framework:

  • Standardized project lifecycle with defined phases for scoping, guideline development, pilot annotation, production, and delivery
  • Project governance including regular status meetings, risk registers, and escalation protocols aligned with your expectations
  • Quality management integration where project managers work closely with QA analysts to maintain annotation accuracy throughout the project
  • Continuous improvement practices including retrospectives after each project phase to identify and implement process improvements

Your annotation project managers work from our secure, GDPR-compliant facility in Nairobi, fully integrated into your project management and communication tools.

Ready to build a team that stays?

No minimum contract. Live in 30 days.

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Core skills

Annotation guideline design
Quality & IAA monitoring
Project scoping & planning
Annotator training & onboarding
Stakeholder reporting

Tools & platforms

LabelboxLabel StudioCVATSuperAnnotateV7 DarwinEncordJiraAsanaConfluenceSlackNotionGoogle 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

Data Annotator

Labels structured and unstructured data with consistent, high-quality annotations for machine learning pipelines.

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.

FAQ

No. Your project manager works with your data science team to translate model requirements into labeling standards, taxonomies, and quality thresholds, then iterates on the guidelines with your ML engineers as edge cases surface during pilot and production.

The project manager. They recruit, train, and qualification-test annotators for your project, assign tasks, track throughput, and clear bottlenecks, so your ML team’s only touchpoints are guideline decisions, edge-case calls, and delivery schedules. If you need the labeling workforce as well, we build dedicated annotation teams the manager runs for you.

Through continuous quality metrics, not an end-of-project check. Your project manager monitors accuracy rates, inter-annotator agreement, and QA pass rates throughout the lifecycle, working alongside dedicated QA analysts, and every project runs a pilot annotation phase before scaling to production.

Yes. Our project managers run large-scale annotation operations across image, text, audio, and video data — from autonomous-driving vision sets to NLP corpora — and every project follows the same standardized lifecycle from scoping through guideline development, pilot, production, and delivery.

In your own stack. Project managers work inside your annotation platform and project tools from our GDPR-compliant, ISO 27001-certified Nairobi operations center with biometric access control — your data never moves into ours.

About 30 days from kickoff. We hand-pick the manager, train them on your annotation platform, guidelines, and workflows, then run a shadowing phase before they take over live project coordination.

No minimum lock-in. Billing is monthly, so you can scale project management up for a major labeling push and wind down with 30 days’ notice once the dataset ships — see pricing for the full model.

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