The Data Annotation Specialist is responsible for supporting the creation of human-supervised datasets to train and evaluate machine learning models to improve autonomous vehicle technology. We are looking for Specialist to support the search of raw sensor data to deliver for human annotation. This work ensures that every frame of useful data is used to train our vehicles and meets the highest standards of safety and precision.

What you'll be doing:

• Support the processing of data from log selection through hand off for data extraction, ensuring high quality data is delivered in a timely manner for our annotation pipelines
• Prioritize between throughput, quality checks, and competing deadlines to optimize the flow of released annotated data
• Act as the point of contact for a contractor workforce to search and identify scenes for annotation
• Follow day-to-day assignments from Data Annotation Team Lead based on project timelines and changing circumstances
• Identify improvements to existing processes and work with other team members to implement with support from cross-functional partners as needed
• Collaborate with internal customers to understand data request requirements and deliver on these requirements
• Take ownership of your work by keeping stakeholders informed of progress and raising issues when support is needed.

What we're looking for:

• 2+ years of proven experience in operations or project management
• Analytical and detailed-oriented
• Ability to adapt to changing priorities quickly and easily
• Strong communication skills - can understand and explain complicated topics and ideas in a clear and concise manner
• Advanced in Excel or Google sheets

Bonus points (not required):

• BA/BS degree in technical or business discipline, or equivalent practical experience
• Prior experience in the Autonomous Vehicle or Automotive industry
• Certified Associate in Project Management (CAPM) or Project Management Profession (PMP) certification
• Experience working with diverse cultures and managing projects across multiple time zones.

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.

Our journey is always people first.

We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.

Higher purpose, greater impact.

We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.

Scale up, not starting up.

Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.

Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit [www.

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Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.