Lead Data Annotator
Current-Identifying and reporting overlooked or incorrect points by making the final review of theimages reviewed by the squad leads-Identifying and collecting correctly annotated items and sharing them with the squads asexamples-Accepting the datasets below the wrong annotated image limit to be sent to the training,redistribution of the datasets above the wrong annotated image limit to the relevantsquad-Re-evaluation of the relevant section even if the dataset is below the wrong annotatedimage limit in case of sequential issues, similar or identical issues with a large number-Contributing to the development of a labeling guide with Sr.Autonomous VehicleSystems Engineer who is responsible for Data Annotation Team to make the annotationprocess clear and understandable-Deciding and collecting the annotated images to be added to the labeling guide inconsultation with the squad leaders-Identifying the missing points of the squads in annotating by reviewing with the squadleaders-Status tracking and reporting of datasets distributed to squads-Determining the total number of data need to made available for the next sprint andcalculating the estimated end time-Discussing the quality of annotated images and major issues with Sr.Autonomous VehicleSystems Engineer who is responsible for Data Annotation Team-Ensuring the organization in situations that require squads to work collaboratively-Reporting relevant metrics of open datasets used for autonomous driving-Assisting the squad leaders with controls when high number of backlog items is present-Monitoring image quality of annotated images and the sprint goals of the the squad-Reviewing the images annotated by the annotators in the squad-Reporting the success rating of the squad, the total number of annotated images, and the total number of issues at the end of the sprint-Reviewing annotators' performance by performing regular in-team meetings
