Data Quality Specialist

Data Quality Specialist at Applied Intuition

Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017 and now valued at $15 billion following its recent Series F funding round, Applied Intuition delivers the Vehicle OS, Self-Driving System, and toolchain to help customers build intelligent vehicles and shorten time to market. 18 of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence.

Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, and Tokyo. Learn more at

We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.

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Note:

For Epi Sci job openings, fully remote work will be considered by exception.)

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.

• 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

• 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

• 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

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401(k) retirement benefits with employer match, learning and wellness stipends, and paid time off.

Note that benefits are subject to change and may vary based on jurisdiction of employment. Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full‑time position in the location listed is $55,000 – $90,000 USD annually.

Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41…