Hybrid Machine Learning Data Annotator

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About the role

  • Machine Learning Data Annotator working on AI-driven products at Filevine. Responsible for data annotation and accuracy checks within machine learning projects.

Responsibilities

  • Annotate and label data in accordance with project-specific annotation definitions and guidelines
  • Ensure annotation accuracy, consistency, and adherence to the defined scope
  • Apply an appropriate level of detail when labeling structured data, text spans, or bounding boxes
  • Identify and flag ambiguities, edge cases, and data quality issues
  • Flag cases that require clarification or further context
  • Collaborate with machine learning engineers to optimize annotation specifications and workflows
  • Adapt to guideline updates and iterative task refinements
  • Maintain confidentiality of sensitive and proprietary data

Requirements

  • Strong interest in machine learning, AI, and data-driven work
  • Strong attention to detail and ability to follow guidelines precisely
  • Ability to make consistent judgments when working with ambiguous data
  • Comfortable communicating and collaborating in a team environment
  • Ability to work independently and manage time efficiently
  • Proficiency in English, both written and spoken
  • Prior experience with data annotation or related technical tasks is highly desirable

Benefits

  • Independent contractor position
  • Opportunity to work in a hybrid model

Job title

Machine Learning Data Annotator

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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