Building and Managing a Team of 1000 + Data Processing Specialists In 1 Year

Services provided: Tech Support & Help Desk

Published date: 25.01.2021

Read time: 2 min

Client Profile

Industry: Machine Learning
Location: International with HQ in the US
Size: 51–200 employees

Company Bio

High-tech B2B company with offices all around the world. Their products are based on ML algorithms that have to be trained and validated manually.

Challenge

Our client owned an extensive amount of data that had to be processed on a tight deadline with no compromise on quality. In order to be able to process all the data, we faced the challenge to assemble a big team of annotators in a timely manner; build a wide quality assurance structure with lots of guidelines; develop a Training and motivational scheme that works and repeat all this with more than 15 different kinds of projects. Such projects include different types of work as annotations of different objects, areas and labeling, adding key points and choosing destinations.

The Solution

Our goal was to set up all the recruiting, management, quality control and motivation processes from scratch in order to build a team that can effectively process and deliver necessary data on a timely manner.

Rapid Recruitment

Effective management

Results

Having a team of more than 1000 employees in 6 offices across Ukraine, we continue to grow and develop the team of annotators for our customer.

TABLE OF CONTENTS

    Stay connected with our latest updates by subscribing to our newsletter.

      ✔︎ Well done! You're on the list now

      GET A QUOTE FOR YOUR PROJECT

        I have read and agree to the Privacy Policy

        We have a minimum threshold for starting any new project, which is 735 productive man-hours a month (equivalent to 5 graphic annotators working on the task monthly).

        TALK TO OUR EXPERTS ABOUT YOUR AI/ML PROJECT

        CONTACT US