Data Labeling Lead – Contract

Reducto

Data Labeling Lead managing in-house team to ensure quality training data for AI models at a fast-growing company. Collaborating with ML engineers and maintaining rigorous standards during data annotation.

Posted 6/24/2026contractRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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

What you’ll need

Possess a **very high attention to detail**.
Have 3+ years of experience working in Python and are comfortable managing basic data labeling apps.
Have the **ability to work nighttime hours PT**.
Hold yourself to a high bar for quality and precision.
Enjoy solving complex problems and building from first principles.
Have 3+ years of experience in data labeling, operations, or team management.
Operate well in fast-changing, high-growth environments.
Collaborate effectively across technical and non-technical teams.
Take full ownership from strategy through execution.

Benefits

Comp & perks

Impact: Your work directly shapes how the world’s best AI companies access and use enterprise data.
Speed: We move fast, ship often, and iterate in days, not months.
Learning: Work alongside world-class engineers, operators, and founders who care deeply about product, precision, and velocity.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Pythondata labelingdata annotation processes

Soft Skills

attention to detailproblem solvingteam managementcollaborationownership