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Reducto

Data Labeling Lead (Contract)

United StatesData EngineeringRemote3+ YOE
Summary

Lead and manage an in-house data labeling team to produce high-quality training data for ML models. Define annotation processes, ensure accuracy standards, and collaborate with ML engineers on data requirements.

About the role

What You’ll Do

  • Lead, train, and manage our in-house data labeling team
  • Define, execute, and continuously improve data annotation processes with a very high attention to detail
  • Ensure high-quality data outputs and meet rigorous accuracy and consistency standards
  • Work closely with ML engineers to understand data requirements and edge cases
  • Manage team schedules, specifically coordinating and working nighttime hours Pacific Time (PT)

Requirements

  • 3+ years of experience working in Python and comfortable managing basic data labeling apps
  • 3+ years of experience in data labeling, operations, or team management
  • Very high attention to detail and commitment to quality and precision
  • Ability to work nighttime hours PT
  • Comfortable in fast-changing, high-growth environments
  • Strong collaboration skills across technical and non-technical teams
  • Take full ownership from strategy through execution

Nice-to-Haves

  • Experience at an early-stage or high-growth startup
  • Familiarity with AI/ML data pipelines and labeling tools
  • Interest in combining operational excellence with business impact
Skills
PythonData LabelingData AnnotationML Data PipelinesTeam ManagementOperations ManagementQuality AssuranceProcess Improvement
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