The Data Annotation Associate Specialist is responsible for the annotation and quality review of data used to train and evaluate machine learning models to improve autonomous vehicle technology. We are looking for an Associate Specialist to perform audits of 2D and 3D human annotated data in both in-house and external annotation tooling. This work ensures that every frame of data meets the highest standards of precision and safety.
What you'll be doing:
- Annotating 2D video (e.g., bounding boxes) and 3D LiDAR (e.g., cuboid and BEV top-down) on merged sensor data to label objects of interest or full scenes
- Auditing and performing quality reviews of annotations to maintain high data quality and prevent errors
- Adhering to annotation instructions and guidelines while providing feedback to refine documentation and ensure consistency
- Collaborating with machine learning engineers, project managers, and other Data Annotation team members to improve instructions, guidelines, and overall processes
- Utilizing a variety of in-house and vendor annotation tools to perform tasks efficiently, while providing suggestions for tool optimization
- Meeting deadlines and maintaining high project standards in a dynamic, fast-paced environment
What we're looking for:
- Bachelor’s in any discipline
- Fresh graduates with no experience are welcomed to apply
- Previous experience in data annotation is required, with at least 2 years in the field for diploma holders
- Advanced proficiency in various 2D and 3D annotation tools and a strong understanding of 2D and 3D geometry, spatial data, and coordinate systems
- Exceptional attention to detail with an unwavering commitment to maintaining the highest levels of accuracy
- Effective communication and interpersonal skills with the ability to collaborate across diverse teams
- Ability to work independently and manage time effectively to meet strict project deadlines
- Adaptability and resilience when working in fast-paced, evolving environment
Bonus points (not required):
- Prior experience in the Autonomous Vehicle industry
- Experience working with diverse cultures and managing projects across multiple time zone
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.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
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.
