AI Data Engine & Annotation Systems Engineer

Simbe Robotics, Inc.; San Francisco, Northern (CA, KY); Hybrid; USD 120,000 - 155,000; Full time

Benefits offered by this job

Equity compensation

Medical benefits

Competitive compensation

Job summary

Simbe Robotics, Inc. is seeking a Data Engine & Annotation Systems Engineer to own data pipelines, annotation workflows, and tooling for high-quality training data used by our computer vision models.

You will build the data engine behind Simbe's AI platform, implement model-assisted labeling, data quality checks, dataset versioning, active learning, and evaluation workflows to boost model performance and customer value.

Qualifications

• 3+ years of software engineering, data tooling, ML data operations, annotation systems, or related technical work.
• Strong Python skills, including scripting, 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 to request annotations, review results, clean data, export datasets, and evaluate model performance.
• Improve data quality. Design checks to identify inconsistent labels, oversized/undersized boxes, missing annotations, duplicate data, class imbalance, and other issues.
• Integrate model assisted workflows. Evaluate and integrate auto annotation, pre labeling, active learning, hard case mining, and model-in-the-loop review systems.
• Support dataset versioning and evaluation. Partner with CV engineers to maintain datasets, evaluation splits, benchmark views, and release readiness workflows.
• Coordinate across teams. Work with annotation teams, Computer Vision, Product, Customer Success, and Data teams.
• Measure and improve performance. Track annotation quality, turnaround time, capacity, cost, rework, and model impact.

Skills

Python

Data tooling

ML data operations

Annotation systems

Internal tools development

Communication

Detail oriented

Cross-team coordination

Tools

CVAT

FiftyOne

Labelbox

Scale

Roboflow

Supervisely

Job description

Simbe Robotics, Inc. is seeking a Data Engine & Annotation Systems Engineer to own data pipelines, annotation workflows, and tooling for high-quality training data used by our computer vision models.

You will build the data engine behind Simbe's AI platform, implement model-assisted labeling, data quality checks, dataset versioning, active learning, and evaluation workflows to boost model performance and customer value.