Ground Truth Operations Specialist
Who We Are
Aurora (Nasdaq: AUR) is delivering the benefits of self-driving technology safely, quickly, and broadly. Founded in 2017 by experts in the self-driving industry, Aurora is revolutionizing transportation – making it safer, increasingly accessible, and more reliable and efficient than ever before. Its flagship product, the Aurora Driver, is a platform that brings together software, hardware, and data services, to autonomously operate passenger vehicles, light commercial vehicles, and heavy-duty trucks. Aurora is partnered with industry leaders across the transportation ecosystem including Toyota, Volvo, PACCAR, Uber, Uber Freight, FedEx, and U.S. Xpress. Aurora tests its vehicles in the Bay Area, Pittsburgh, and Texas and has offices in those areas as well as in Bozeman, MT; Seattle, WA; Louisville, CO; and Detroit, MI. To learn more, visit www.aurora.tech.
Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all.
On the Data Engine team, you will join a world-class group exploring computer vision, machine learning, and state-of-the-art data annotation with machine-in-the-loop tooling. In this role, we are looking for an exceptional operations specialist to join our team that thrives on teamwork, getting things done, assists with coordinating operations, and facilitates workflows that help our team deliver best-in-class training data. If your passions align with working on cross-functional teams to deliver the highest quality data and enabling the right workflows or processes to deliver, the Data Engine team could have the perfect opportunity for you.
In this role, you will
- Develop expertise in all of the Data Engine proprietary tools and established processes within the first three months of employment:
- LiDAR point cloud labeling and tracking through time
- Image bounding box labeling and association
- Variant video-based labeling
- Metadata labeling and sub-categorization
- Quality assessment and auditing of data annotations
- Analyze existing processes and provide recommended tooling and process changes
- Serve as a role model for high quality data annotation
- Ability to respond to changing team priorities and properly allocate time to highest priority tasks
- Participate in annotation experiments that may unlock tooling and perception capabilities
- Collaborate in analysis of workflows and training materials for deployment of tasks at scale
- Interact and Interpret dashboards and reports to track throughput of high priority tasks
Required Qualifications
- 2+ years of relevant systems experience (i.e. 3D modeling software, image-based editing software, data entry, and/or proprietary data platforms, self driving operations) or a bachelor's degree
- Solid communication and presentation skills to convey feedback on complex tooling and workflows
Desirable Qualifications
- Former labeling experience regardless of domain
- Understanding of machine learning concepts and computer vision
- Excellent communication skills (verbal and written) with an ability to effectively communicate with both internal teams and external business partners
- Strong process and metrics focus with a passion for getting things done
#Entry-Level | #LI-WS1
Working at Aurora
At Aurora, we bring together people with extraordinary talent and experience united by the strength of our values. We operate with integrity, set outrageous goals, and continue to build a culture where we win together—all without any jerks.
We have offices in 8+ locations across the United States. We offer a competitive benefits package to qualifying employees. Our Career Page includes everything you need to know about working at Aurora.
At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization's long-term success by prioritizing working safely, no matter what.
We believe that self-driving technology has broad benefits – including an increase in safety and access to transportation – and to achieve those benefits, we want and need a workforce with diverse experiences, insights, and perspectives; said another way, a workforce that reflects the communities and people our technology will benefit. You can find all the latest news on our Blog
Individuals seeking employment at Aurora are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law.
Our mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. To deliver this, we are building the Aurora Driver, a platform that brings together our software, hardware, and data services to power all types of veh...
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