Data Quality Specialist

Applied Intuition • Mountain View, CA

148d • $55,000 - $90,000 • Remote

About The Position

As a Data Quality Specialist you will be a critical component of our autonomous vehicle data pipeline. You will ensure the integrity and quality of data collected from our test vehicles, which is essential for training and improving our 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.

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 Haves

• 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

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

Benefits

• Comprehensive health, dental, vision, life and disability insurance coverage
• 401k retirement benefits with employer match
• Learning and wellness stipends
• Paid time off

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Publishing Industries
• Number of Employees: 501-1,000 employees