1 -Pre-project AI training
Prior to being accepted to work on any project with B.O.T, all the workers (annotators) are required to take purpose-built proprietary 4 weeks training "Data annotation for AI", developed by DOT Lebanon in partnership with Microsoft and sponsored by UNICEF.
The training is delivered by AI industry experts and university professors. Those who pass the exam after the training get registered in the pool of available workers that can be called to work on a project.
Each worker is assigned a score by a trainer, based on multiple factors essential to deliver data annotation work. This score is updated after every project the worker participates in and is used by Project Managers to create efficient teams.
2 - Project specific training
For every project the workers are required to attend project-specific training, which is based on a real project dataset, covering major concepts, tools and providing real-time feedback and delivered by an experienced Team Leader (TL) or a Project Manager (PM).
When a new tool is used, or new features of an existing tool are used for a project, tool-specific training is delivered.
After the training, the annotators submit their sample work to TLs for direct feedback. TLs select the best-performing annotators to work on a project while keeping others on "standby".
The most efficient and dedicated annotators are promoted to Team Leaders, whose role is to monitor their team members' performance and provide real-time feedback. TLs are responsible to ensure targets and quality requirements are met within their teams.
Annotators work in teams of 7-10 people led by a Team Leader, who reports to a PM.
PMs do spot checks to ensure quality consistency across teams and assure quality and timely delivery.