AI Data Engine & Annotation Systems Engineer

Simbe Robotics; San Francisco (CA); On-site; USD 120,000 - 155,000; Full time

Job summary

Simbe Robotics is building the AI-powered operating system for physical retail. We seek a Data Engine & Annotation Systems Engineer to own data pipelines and tooling powering training data for our computer vision models in SF.

You’ll drive model-assisted labeling, data quality checks, guidelines, and dataset versioning to accelerate customer value. You will collaborate with CV, Product, and Data teams to ensure high-quality data, scalable workflows, and rapid iteration on model performance.

Qualifications

• 3+ years of software engineering, data tooling, ML data operations, annotation systems, data QA, or related technical work.
• Strong Python skills, including 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 understanding of how data quality affects model quality.

Responsibilities

• Own annotation systems and workflows. Oversee and improve image and video annotation workflows, including task setup, guideline creation, quality control, edge case handling, and throughput monitoring.
• Build data engine tooling. Develop Python, web, and automation tools that make it easier to request annotations, review results, clean data, export datasets, and evaluate model performance.
• Improve data quality. Design checks that identify inconsistent labels, oversized or undersized boxes, missing annotations, duplicate data, class imbalance, and other issues that can degrade model performance.
• Integrate model assisted workflows. Evaluate and integrate auto annotation, pre labeling, active learning, hard case mining, and model in the loop review systems to improve annotation efficiency.
• Support dataset versioning and evaluation. Partner with CV engineers to maintain reliable datasets, evaluation splits, benchmark views, and release readiness workflows.
• Coordinate across teams. Work with annotation teams, Computer Vision, Product, Customer Success, and Data teams to align with customer priorities.
• Measure and improve performance. Track annotation quality, turnaround time, capacity, cost, rework rates, and model impact.

Skills

Python

Bash

Linux

Git

Web frontend

APIs

Data QA

Documentation

Tools

CVAT

Labelbox

Scale

Roboflow

FiftyOne

Supervisely

Job description

Simbe Robotics is building the AI-powered operating system for physical retail. We seek a Data Engine & Annotation Systems Engineer to own data pipelines and tooling powering training data for our computer vision models in SF.

You’ll drive model-assisted labeling, data quality checks, guidelines, and dataset versioning to accelerate customer value. You will collaborate with CV, Product, and Data teams to ensure high-quality data, scalable workflows, and rapid iteration on model performance.