Data Engine & Annotation Systems Engineer at Simbe Robotics
$120,000–$155,000
Aug 4, 2026
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Sep 25, 2026
What this job asks for AI summary
This role owns the data infrastructure and tooling that feeds computer vision model training at a retail robotics company. The engineer builds Python-based internal tools, annotation workflows, data quality checks, and model-assisted labeling pipelines, while coordinating with CV, product, and annotation teams. It suits someone comfortable writing production code and also managing the operational side of ML data creation end to end.
Mid level · 3+ years · Full-time
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How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $107,524–$175,762).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 6, 2026. It is a model, not a headcount.
Why we read it this way (5)
No location is stated in the posting; CBSA and state fields are left blank. The role may be remote or at Simbe's Chicago-area headquarters, but the posting does not specify.
The SOC classification is a judgment call: the role is primarily a software/tooling engineer (Python tools, APIs, internal apps) with a strong ML-data-operations flavor. 15-1252 Software Developers was chosen because the dominant day-to-day work is building and shipping code; 15-2051 Data Scientists is the runner-up given the active learning, dataset versioning, and model evaluation responsibilities.
The required qualifications list 'experience building scripts, data workflows, APIs, or internal tools' — these are treated as facets of the Python and REST skills rather than separate entries, as they name no distinct technology.
'Web frontend or full stack development for internal tools' is required but names no specific framework, so no separate skill entry was created (no concrete named technology to capture).
Bonus qualifications (CVAT/FiftyOne/Labelbox/Scale/Roboflow/Supervisely, active learning, synthetic data, object detection, OCR) are all listed under the explicit 'Bonus Qualifications' heading and are marked preferred accordingly.
Read the full posting
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