Data Operations Engineer

Specter is hiring a data operations engineer to build our research data operation. This individual will own the full pipeline from defining what data we need, to getting it labeled at high quality, to ensuring it meets the needs of our research team and ultimately improves our models. The role sits at the intersection of engineering and research, with a focus on building systems and tooling.

• Own the end-to-end relationship with our data labeling provider, including task scoping, timeline management, and issue resolution
• Build and maintain internal tooling for labelers, including annotation interfaces, task pipelines, and dataset browsers
• Define and enforce quality control standards across all labeled data, implementing automated checks and audit workflows
• Partner with researchers to translate perception model needs into data collection strategies, identifying gaps in coverage across object types, scenes, lighting conditions, and sensor modalities
• Build dashboards and metrics to monitor dataset diversity, class balance, and domain coverage