Autonomous Vehicle Data Quality Analyst

Avride; Austin (TX); On-site; USD 70,000 - 100,000; Full time

Job summary

Avride is seeking a Data Quality Analyst to validate and analyze real-world data from autonomous vehicle scenarios. You will work with production teams to develop quality metrics and ensure consistent dataset quality across annotation workflows.

The role involves analysis of test data, identifying gaps, and driving improvements in data quality and annotation efficiency. The position emphasizes detail-oriented work with complex datasets, collaboration with product and engineering teams, and

Qualifications

• Degree in a technical field (CS, QA, Data Analytics, Engineering).
• Strong analytical thinking with attention to detail and ability to review data and validate tasks.
• Practical Python skills for data processing and analysis (Pandas).
• Ability to query databases and work with analytical data stacks.
• Willingness to perform routine data validation and weekly quality reviews.

Responsibilities

• Analyze collected data across road scenarios to understand performance.
• Examine samples to identify factors affecting situations and edge cases.
• Monitor quality metrics and investigate anomalies.
• Maintain simple dashboards and weekly reports.
• Automate data validation, test-result processing, and coverage analysis.

Skills

Analytical thinking

Python (Pandas)

Data validation

SQL querying

Documentation

Education

B.S. in CS/Engineering/Data Analytics

Quality assurance experience

Tools

Python

ClickHouse

Pandas

SQL

Job description

Avride is seeking a Data Quality Analyst to validate and analyze real-world data from autonomous vehicle scenarios. You will work with production teams to develop quality metrics and ensure consistent dataset quality across annotation workflows.

The role involves analysis of test data, identifying gaps, and driving improvements in data quality and annotation efficiency. The position emphasizes detail-oriented work with complex datasets, collaboration with product and engineering teams, and