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Applied Intuition is a $15B-valued Silicon Valley company (founded 2017) powering physical AI for autonomous vehicles and other moving machines. They serve 18 of the top 20 global automakers, the US military, and operate across automotive, defense, trucking, construction, mining, and agriculture sectors.
As a Data Quality Specialist, you will be a critical component of the autonomous vehicle data pipeline. You will ensure the integrity and quality of data collected from test vehicles, which is essential for training and improving self-driving systems. Your meticulous review and verification processes will help maintain high data standards and facilitate the development of more accurate and reliable autonomous driving algorithms.
Key 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
Applied Intuition is an in-office company with the expectation that full-time employees primarily work from their office 5 days a week, though occasional flexibility is available for morning remote work or schedule adjustments.
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 autonomous vehicle 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
