Autonomous Vehicle Data Quality Engineer

Applied Intuition; Sunnyvale (CA); Hybrid; USD 90,000 - 140,000; Full time

Benefits offered by this job

Equity

Health insurance

401k with employer match

Paid time off

Learning stipend

Wellness stipend

Job summary

Applied Intuition, Inc. is seeking a Data Quality Specialist to ensure the integrity of data from autonomous vehicle test drives and support model training. You will review datasets for completeness, accuracy, and relevance, and develop automation scripts to streamline verification processes.

In this role you will identify anomalies, assist with data annotation, document quality standards, and collaborate with engineering to improve data collection methods and verification workflows.

Qualifications

• 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.

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.

Skills

Data analysis

Quality assurance

Attention to detail

Problem solving

Communication

Python scripting

Linux

Data annotation tools

Sensor data

Data validation

Tools

Slack

Jira

Confluence

Google Workspace

Job description

Applied Intuition, Inc. is seeking a Data Quality Specialist to ensure the integrity of data from autonomous vehicle test drives and support model training. You will review datasets for completeness, accuracy, and relevance, and develop automation scripts to streamline verification processes.

In this role you will identify anomalies, assist with data annotation, document quality standards, and collaborate with engineering to improve data collection methods and verification workflows.