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Data Engine & Annotation Systems Engineer

Simbe Robotics · San Francisco Bay Area · Hybrid

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About Simbe Robotics

Backed by SOSV.

About the role

Simbe is looking for a Data Engine & Annotation Systems Engineer to own the systems, workflows, and tooling that power high quality training data for our computer vision models. This role goes beyond annotation coordination. You will help build the data engine behind Simbe's AI platform: model assisted labeling, data quality checks, annotation guidelines, error mining, dataset versioning, active learning, and evaluation workflows that improve model performance and accelerate customer value.

What they're looking for

  • 3+ years of experience in software engineering, data tooling, ML data operations, annotation systems, data QA, or related technical work
  • Strong Python skills, including experience building scripts, data workflows, APIs, or internal tools
  • Comfort with Bash, Linux, Git, and production debugging workflows
  • Experience with web frontend or full stack development for internal tools
  • Strong communication skills and ability to create clear annotation guidelines, documentation, and process improvements
  • High attention to detail and a strong understanding of how data quality affects model quality
More about this role

Simbe is building the AI powered operating system for physical retail. Our autonomous robots and multimodal computer vision platform turn complex, constantly changing stores into accurate, actionable intelligence for leading retailers around the world. Simbe combines robotics, computer vision, machine learning, data infrastructure, and customer focused product design to help retailers improve shelf availability, price and promo execution, inventory accuracy, and store team productivity.

Simbe is looking for a Data Engine & Annotation Systems Engineer to own the systems, workflows, and tooling that power high quality training data for our computer vision models. This role goes beyond annotation coordination. You will help build the data engine behind Simbe's AI platform: model assisted labeling, data quality checks, annotation guidelines, error mining, dataset versioning, active learning, and evaluation workflows that improve model performance and accelerate customer value.

  • You will help create the feedback loop that makes Simbe's AI systems better every week.
  • You will improve the quality, speed, and reliability of data used to train and evaluate production models.
  • You will...

Read the full posting on Simbe Robotics's site ↗

AI & Computer Vision

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