Machine Learning Data Annotator
Filevine(6 months ago)
About this role
The Machine Learning Data Annotator supports Filevine’s AI-driven products by producing high-quality annotated datasets used throughout the machine learning lifecycle. The role focuses on ensuring data accuracy, consistency, and completeness to directly improve model performance. It involves analyzing model outputs, helping refine datasets and workflows, and documenting issues and recommendations for continuous improvement. This is a full-time independent contractor role based in or relocating to Czechia or Slovakia.
Required Skills
- Data Annotation
- Data Labeling
- Quality Assurance
- Error Analysis
- Machine Learning Collaboration
- Workflow Optimization
- Guideline Adherence
- Time Management
- Team Communication
- English Proficiency
+2 more
About Filevine
filevine.comFilevine is a legal work platform and practice-management SaaS founded in 2014 and headquartered in Salt Lake City with offices in Chicago, New York, Prague, and Bratislava. It provides AI-powered legal tools—including an AI Legal Assistant that lets users "chat" directly with cases—plus workflow automation, document management, case management, and billing features to centralize and streamline firm operations. Filevine is positioned for law firms and legal teams seeking improved collaboration, faster intake-to-resolution processes, and higher efficiency. The company touts strong user adoption and industry recognition, with high ratings on G2 and multiple awards.
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