Atlas Data Operations Annotation Manager

Reposted 7 Days Ago
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Post Office, Fatepura, Dahod, Gujarat, IND
In-Office
115K-140K Annually
Mid level
Robotics • Software
The Role
Manage a team overseeing data annotation processes and quality for machine learning systems. Collaborate with vendors, establish quality benchmarks, and improve workflows.
Summary Generated by Built In

Boston Dynamics is a world leader in mobile robots, tackling some of the toughest robotics challenges. We combine the principles of dynamic control and balance with sophisticated mechanical designs, cutting-edge electronics, and next-generation software for high-performance robots equipped with perception, navigation, and intelligence.

The Atlas team is focused on advancing machine learning and manipulation capabilities. We are seeking an Annotation Manager to own data quality and annotation operations for Atlas — setting standards, leading the team, and managing the vendor relationships that produce the training data behind Atlas's AI systems. This role spans software quality assurance, data quality strategy, and hands-on operational leadership, and reports to the Atlas Data Operations Associate Director.

Schedule/Working Hours:

  • Monday – Friday: 40 hours per week, regular hours (e.g., 9 AM to 6 PM, with flexibility across both first and second shift as required).

Responsibilities:

Team Leadership & Performance

  • Directly manage a team of Annotation Leads and Annotation QA Leads, providing day-to-day direction, prioritization, coaching, and performance feedback.

  • Serve as the Atlas working team lead for third-party annotation vendors, managing task allocation, performance accountability, and dual-source relationships to optimize cost, quality, and speed.

Annotation Quality & Operations

  • Own data quality end-to-end — defining standards, QA methodologies, and metrics (accuracy, consistency, rework rates, guideline adherence) — and serve as the primary escalation point for edge cases and labeling ambiguities.

  • Write SOPs and technical documentation for the annotation team and vendors; forecast annotation needs across Atlas engineering stakeholders and drive continuous improvement across tooling, workflows, and guidelines.

Required Skills & Experience:

  • Bachelor's degree in a technical field, data science, or cognitive science preferred; proven experience managing teams in a data annotation, data quality, or machine learning data pipeline environment preferred.

  • Prior experience managing business/contractual relations between third-party annotation vendors/labelling service or BPO service providers strongly preferred. Familiarity with ML data pipelines preferred. Exceptional organizational and communication skills required.

The base pay range for this position is between $115,000 to $140,000 annually. Base pay will depend on multiple individualized factors including, but not limited to internal equity, job related knowledge, skills and experience.  This range represents a good faith estimate of compensation at the time of posting. Boston Dynamics offers a generous Benefits package including medical, dental vision, 401(k), paid time off and an annual bonus structure.  Additional details regarding these benefit plans will be provided if an employee receives an offer for employment.

Skills Required

  • Bachelor's degree in a technical field, data science or cognitive science
  • Proven experience managing teams in a data annotation or machine learning data pipeline environment
  • Strong computer proficiency with familiarity in ML data pipelines or computer vision
  • Exceptional organizational and communication skills
  • Prior experience managing third-party annotation vendors
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The Company
HQ: Waltham, ME
642 Employees
Year Founded: 1992

What We Do

Boston Dynamics builds advanced mobile manipulation robots with remarkable mobility, dexterity perception and agility. We use sensor-based controls and computation to unlock the potential of complex mechanisms. Our world-class development teams develop prototypes for wild new concepts, do build-test-build engineering and field testing and transform successful designs into robot products. Our goal is to change your idea of what robots can do.

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