Description
Specter is hiring a Data Operations Engineer to build and operate its research data pipeline. The role owns the relationship with the data labeling provider, manages labeling tasks and timelines, builds annotation interfaces and pipelines, enforces quality controls, partners with researchers on data collection, monitors dataset diversity and model performance, evaluates new data sources, and defines labeling taxonomies. The position requires 1–3+ years of experience in data operations, project management, or technical coordination, Python proficiency, communication skills, familiarity with machine learning workflows, and strong organizational and self-directed capabilities.
