Data Quality Analyst- Autonomous Vehicles
On-siteAustin, Texas, United States
Job Summary
Analyze collected data across road scenarios, validate quality and completeness, and identify edge cases requiring investigation. Monitor quality metrics, investigate anomalies, and assess how new scenes contribute better data. Review annotation batches to ensure they meet expectations, maintain control dashboards, and follow up on issues. Automate data validation, test-result processing, and repetitive investigation workflows using Python and ClickHouse. Work closely with product and engineering teams to implement improvements. This role focuses on enhancing data quality and annotation efficiency for autonomous vehicle technology.
Required Qualifications
- A degree in a relevant field (Computer Science, Quality assurance, Data Analytics, Engineering, or another technical discipline)
- Strong analytical thinking and attention to detail
- Practical Python skills for data processing and analysis (Pandas)
- Ability to query databases and work with analytical data stacks
- Readiness to handle routine and sometimes monotonous work
- A process-oriented mindset
- A valid driver's license and practical driving experience
- Candidates are required to be authorized to work in the U.S.
Desired Qualifications
- Experience with ClickHouse
- Experience with QA, testing, or validation workflows
- Strong systems thinking, attention to quality, and a proactive mindset
- Experience using semi-automated labeling tools or active learning methods
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