Data Quality Specialist

Applied Intuition Applied Intuition · Robotics · Sunnyvale, CA · Data Engineering

This role focuses on ensuring the quality and integrity of data collected from autonomous vehicles, which is essential for training and improving self-driving systems. Responsibilities include reviewing and validating data, developing automation scripts for verification, identifying data issues, assisting with data annotation, and collaborating with engineering teams to enhance data collection and verification processes.

What you'd actually do

  1. Review and validate data collected from test drives to ensure completeness, accuracy, and relevance
  2. Develop and implement automation scripts to streamline data verification processes
  3. Identify anomalies, inconsistencies, and quality issues in collected datasets
  4. Assist with data annotation and labeling to support machine learning model training
  5. Document quality standards and create comprehensive reports on data quality metrics

Skills

Required

  • 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

What the JD emphasized

  • data validation techniques
  • quality control processes for AV domain
  • sensor data (LiDAR, radar, camera) from autonomous vehicles