Data Quality Specialist
Ensure the integrity and quality of data for autonomous vehicle systems at a leading AI company.
Posted by employer 2 days ago
First seen on Joblaze 2 days ago
Last verified on the company career page 8 hours ago
Skills & Technologies
What you'll build
- Review and validate data from test drives
- Develop automation scripts for data verification
- Identify anomalies in datasets
- Assist with data annotation for machine learning
- Document quality standards and create reports
Must have
- 2+ years experience in data analysis or quality assurance
- Familiarity with data annotation tools
- Experience with data validation techniques
- Attention to detail
- Experience with sensor data from autonomous vehicles
Nice to have
- Experience with data visualization tools
- Prior experience in autonomous vehicle industry
- Programming skills in Python
- Experience with Linux
- Experience with Slack, Jira, and Confluence
Practical constraints
- In-office work 5 days a week
Requirements
- Experience
- 2+ years
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In the role of Data Quality Specialist, the individual will focus on ensuring the accuracy and integrity of data from autonomous vehicle test drives, which is vital for enhancing self-driving technologies. Key skills include experience in data analysis, familiarity with data annotation tools, and a strong attention to detail, particularly with sensor data like LiDAR and radar. This position is suited for candidates with at least two years in data quality assurance or a related field, ideally with a background in the automotive or autonomous vehicle sectors. The team emphasizes collaboration with engineering to refine data collection methods.
Joblaze insights
- Listed 2 days ago — first seen on Joblaze September 25, 2026. Last confirmed on Applied Intuition's careers page September 27, 2026.
- Python appears in 29.2% of 106 comparable mid qa roles in United States; Confluence appears in 0.9% of 106 comparable mid qa roles in United States.
Quick facts
- Is the Data Quality Specialist role remote?
- No — this is an on-site role in Sunnyvale.
- How much experience is required?
- At least 2 years of relevant experience for this Data Quality Specialist role.
- Where is the role based?
- Applied Intuition is hiring for this position in Sunnyvale.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Confluence, Data Analysis, Data Quality, Data Validation, Google Workspace, Jira.
- What seniority level is this role?
- Applied Intuition targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Data Quality Specialist role at Applied Intuition.
From the original posting
About the role
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.
At Applied Intuition, you will:
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
We're looking for someone who has:
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
Please reference the job posting’s subtitle for where this position will be located.
Standard company text repeated across Applied Intuition's postings is omitted here.