Data Quality Specialist
Review and validate autonomous vehicle sensor data for quality and completeness. Develop automation scripts and support ML data annotation workflows.
Responsibilities
- Review and validate data collected from test drives to ensure completeness, accuracy, and relevance
- Develop and implement automation scripts to streamline data verification processes
- Identify anomalies, inconsistencies, and quality issues in collected datasets
- Assist with data annotation and labeling to support machine learning model training
- Document quality standards and create comprehensive reports on data quality metrics
- Collaborate with engineering teams to improve data collection methodologies
- Support the continuous improvement of data verification workflows
Requirements
- 2+ years experience in data analysis, quality assurance, or related technical field
- Familiarity with data annotation tools and workflows
- Experience with data validation techniques and quality control processes for AV domain
- Attention to detail and analytical mindset
- Experience with sensor data (LiDAR, radar, camera) from autonomous vehicles
- Strong problem-solving abilities and communication skills
Nice to Have
- Experience with data visualization tools
- Prior experience in autonomous vehicle or automotive industries
- Programming skills in Python or similar languages for automation script development
- Experience with Linux
- Experience with software tools/services like Slack, Jira, and Confluence
- Experience with Google Workspace
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