6 annotation operations manager jobs at 5 companies in Novato, CA
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Annotation Operations Manager
Redwood City, California, United States
OnsiteFull Time
3+ YOERequires 3+ years in operations, program, or team management; direct people management, hiring, performance and approval experience; operational metrics, reporting, vendor management, and annotation tooling fluency.
Encord, SQL
1mo
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Data Annotation Lead
San Francisco, California, United States
OnsiteFull Time
7+ YOE3+ Mgmt7+ years leading scaled data/annotation operations, 3+ years managing managers, experience scaling 100s→1,000s, building training/certification pipelines, integrating autolabeling/HITL workflows, and driving operational quality metrics.
1mo
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Senior Annotation and Data Pipeline Manager
San Carlos, California, United States
OnsiteFull Time
4+ YOE4+ years in data or ML pipelines including leadership; strong Python (Pandas, NumPy, PyTorch) and SQL; experience scaling annotation/labeling operations; ML literacy and hands-on technical leadership.
Python, Pandas, NumPy, PyTorch, SQL
1mo
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Product Operations Manager - AI
San Francisco, California, United States
$150k-$180k/yr HybridFull Time
5+ YOE5+ years in product operations or program management (AI/ML exposure preferred); hands-on with evals and annotation workflows; strong organization and communication skills; able to translate technical detail into clear decisions.
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Data Labeling Operations Manager
San Francisco, California, United States
$90k-$125k/yr OnsiteFull Time
Direct experience managing labeling, annotation, or data-quality teams; strong operational and detail-oriented skills; technical understanding of ML concepts and ability to build data-labeling tools and workflows.
Labelbox, CVAT, Supervisely, SQL, Python
1mo
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Program Manager, Human Data Operations (San Francisco)
San Francisco, California, United States
$120k-$150k/yr OnsiteFull Time
mpathic: AI platform analyzing and enhancing clinical and corporate communication.
5+ YOE5+ years program management or operations experience managing large-scale human-data, annotation, evaluation, or expert-driven workflows; experience with distributed teams and customer-facing programs; strong communication and operational rigor.