Building and Managing a Team of 1000 + Data Processing Specialists In 1 Year
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.
GET A QUOTE FOR YOUR PROJECT
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).
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