Data Annotation Manager

About the role

Motional is seeking a Data Annotation Manager to join its Operations team. You will lead a team of data specialists and project managers responsible for high-quality data used by autonomous vehicle perception and other machine learning models. You will own team productivity and operational effectiveness, manage the team's employee lifecycle independently and ensure team goals are met.

Key responsibilities

• Supervise daily operations: direct the day-to-day activities of data annotation team members, set priorities, ensure task completion, SLA adherence and coordination across workstreams.
• Drive goals and productivity: set and achieve operational goals, owning the team's productivity, quality and effectiveness with minimal manager oversight.
• Manage the employee lifecycle: handle hiring, onboarding and performance evaluation independently, and coach and mentor team members with continuous feedback.
• Solve operational challenges: use process knowledge and data-driven insights to streamline annotation workflows, improve efficiency through automation and remove bottlenecks.

Required profile

• Degree in any related technical field.
• At least 6 years of domain expertise in data operations, data labeling, computer vision dataset creation or machine learning annotation workflows.
• 2 years of leadership experience supervising team members, setting operational priorities and guiding daily output in a fast-paced technology or autonomous driving domain.
• Proven ability to manage the full employee lifecycle, conduct performance reviews and coach staff with minimal guidance.

Bonus points

• Prior experience with autonomous driving data, sensor data (LiDAR, Radar, Camera) or 3D bounding box annotation tools.
• Vendor management experience, including defining performance metrics, building relationships with third-party suppliers and holding them accountable to SLAs and contract standards.
• Experience working with diverse cultures and managing projects across multiple time zones.