The scope of work includes collecting and preparing data for internal clients who require simulation data for test scenarios of autonomous vehicles.
responsibilities :
Data curation: Searching for frames (images) and video clips using Data Scout (Nvidia tool); Generating video clips based on selected frames (e.g., ±5 sec. from the given frame); Ensuring results meet required distributions (day/night, rural/urban/highway)
Data augmentation: Time-based upsampling – generating additional frames in a wider time window; GPS-based upsampling (SignNet/RoadMark) ; H3 grid-based upsampling (SignNet/RoadMark)
Curation management: Creating and tracking corner cases in the CCM tool; Building datasets and exporting selected results (frames) in CSV format ; Submitting relevance check requests (to ensure quality of results); Queueing data for further stages (labeling or pre-labeling queue)
requirements-expected :
At least 3–4 years of professional experience, ideally in the automotive or telecommunications industry
Strong background in working with data and analytical tools
Ability to organize and manage own work independently
Proficiency in key technologies: SQL, Databricks, Python , Cursor
