Data Quality Analyst- Autonomous Vehicles
Avride · Austin, Texas
Roboticsonsite
At a glance
Highlights
- Validate real-world autonomous driving data from city street scenarios.
- Analyze vehicle behavior to spot coverage gaps and edge cases.
- Develop quality metrics ensuring consistent annotation dataset quality.
Ideal candidate
Detail-oriented analytical thinker who enjoys digging into complex real-world driving data and improving dataset quality through steady, process-driven validation work.
Requirements
- Degree in Computer Science, Quality Assurance, Data Analytics, Engineering or related technical field
- Strong analytical thinking and attention to detail for data review and anomaly detection
- Practical Python skills for data processing and analysis with Pandas
- Ability to query databases and work with analytical data stacks
- Comfortable with routine dataset checks, manual validations and weekly quality reviews
- Process-oriented mindset with consistent documentation and reporting
- Valid driver's license and practical driving experience
- Authorized to work in the U.S.
- remote policy
- No remote work available
- visa sponsorship
- No visa sponsorship available
Lab profile
About Avride
U.S. startup developing and operating autonomous cars and delivery robots on a shared platform.
What they build
- Autonomous cars
- Delivery robots
Known for
- Shared car-robot autonomy technology
- Motion planning and decision-making
- AV safety metrics and evaluation
- Real-world robotaxi operations
Key facts
- Founded in 2017
- Headquartered in Austin, TX
- Few hundred engineers
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