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What You Will DoDesign, develop, and manage backend systems responsible for the entire lifecycle of labeled data—from ingestion to delivery—utilizing core Python services, APIs, and databases.Construct and enhance data preparation and labeling pipelines that convert vast sensor streams (lidar, camera, radar) into label-ready formats while overseeing annotation workflows at scale, integrating both automated and human labeling via modern orchestration frameworks.Design and implement strong integrations with external vendors and internal tools to ensure smooth data flow and feedback mechanisms within labeling workflows.Create automated validation and quality assurance systems to maintain dataset integrity, monitor quality, and provide key performance insights.Collaborate closely with ML and Perception teams to convert evolving requirements into scalable data solutions that directly enhance model performance.Improve human labeling productivity by integrating machine learning automation into annotation processes.
About the job
About Our Team
At Avride, we are pioneering the future of autonomous mobility by innovating and implementing cutting-edge self-driving vehicles and delivery robots. Our Labeling Team is integral to realizing this vision, as we are constructing robust backend systems that facilitate next-generation autonomous transportation. Our expertise in designing and managing the data infrastructure for extensive sensor datasets enables the creation of high-quality labeled data essential for our perception and machine learning (ML) pipelines.
The Labeling Backend Team is responsible for developing the data infrastructure that drives groundbreaking research and development across our labeling pipelines, data preparation workflows, and model training processes. The exceptional quality of labeled data we provide is crucial for advancing our core technologies and supports a diverse array of models that underpin our entire business.
About Avride
Avride is a leader in the autonomous mobility sector, committed to developing innovative self-driving cars and delivery robots. Our mission is to transform transportation and logistics, making them more efficient and accessible. Join us in shaping a future where technology enhances mobility for all.
Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.
Unlock Your Potential
Generate Job-Optimized Resume
One Click And Our AI Optimizes Your Resume to Match The Job Description.
Is Your Resume Optimized For This Role?
Find Out If You're Highlighting The Right Skills And Fix What's Missing
Experience Level
Experience
Qualifications
What You Will DoDesign, develop, and manage backend systems responsible for the entire lifecycle of labeled data—from ingestion to delivery—utilizing core Python services, APIs, and databases.Construct and enhance data preparation and labeling pipelines that convert vast sensor streams (lidar, camera, radar) into label-ready formats while overseeing annotation workflows at scale, integrating both automated and human labeling via modern orchestration frameworks.Design and implement strong integrations with external vendors and internal tools to ensure smooth data flow and feedback mechanisms within labeling workflows.Create automated validation and quality assurance systems to maintain dataset integrity, monitor quality, and provide key performance insights.Collaborate closely with ML and Perception teams to convert evolving requirements into scalable data solutions that directly enhance model performance.Improve human labeling productivity by integrating machine learning automation into annotation processes.
About the job
About Our Team
At Avride, we are pioneering the future of autonomous mobility by innovating and implementing cutting-edge self-driving vehicles and delivery robots. Our Labeling Team is integral to realizing this vision, as we are constructing robust backend systems that facilitate next-generation autonomous transportation. Our expertise in designing and managing the data infrastructure for extensive sensor datasets enables the creation of high-quality labeled data essential for our perception and machine learning (ML) pipelines.
The Labeling Backend Team is responsible for developing the data infrastructure that drives groundbreaking research and development across our labeling pipelines, data preparation workflows, and model training processes. The exceptional quality of labeled data we provide is crucial for advancing our core technologies and supports a diverse array of models that underpin our entire business.
About Avride
Avride is a leader in the autonomous mobility sector, committed to developing innovative self-driving cars and delivery robots. Our mission is to transform transportation and logistics, making them more efficient and accessible. Join us in shaping a future where technology enhances mobility for all.