Data Quality Specialist
Core
Ensure the integrity and quality of data collected from autonomous vehicle test drives to support self-driving system training and improvement.
Role type
Data Quality Specialist (Autonomous Vehicle Data Pipeline)
Builds
High-quality sensor datasets for machine learning model training
Domain
Autonomous vehicles / Automotive / Sensor data
Deliverable
production ML models
Required skills
Data validation, Data quality assurance, Data annotation, Sensor data analysis (LiDAR, radar, camera), Automation scripting, Anomaly detection
Preferred skills
Data visualization, Python programming, Linux, Jira/Confluence/Slack/Google Workspace
Responsibilities
Review and validate data collected from test drives for completeness and accuracy, Develop automation scripts to streamline data verification, Identify anomalies and quality issues in datasets, Assist with data annotation and labeling, Document quality standards and create reports on data quality metrics, Collaborate with engineering teams to improve data collection methodologies
Seniority
Mid-level, hands-on IC
