Data Labeling Lead (Contract)

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Work mode

Remote From the posting source checked Jun 20, 2026

In-office days

0 days From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Data Labeling Lead (Contract) Remote - North America | Remote Reducto is the agentic document platform for leading AI teams who demand enterprise performance at scale. We provide a complete toolkit for handling any workflow by understanding documents the way a human would. Using an agentic architecture to orchestrate dozens of vision and frontier models behind the scenes, Reducto delivers high accuracy on complex, real-world documents where other tools fall short. We've grown rapidly, increasing revenue 8x year over year and partnering with hundreds of companies, from leading AI teams like Harvey, Vanta, and Scale, to enterprise customers across FAANG and top trading firms. Reducto has raised over $100M from world-class investors including a16z, Benchmark, and First Round Capital. THE OPPORTUNITY As Data Labeling Lead, you'll play a key role in leading and managing our in-house data labeling team to ensure the highest quality of training data for our models. You'll collaborate closely with the ML and engineering teams to refine labeling guidelines and maintain rigorous accuracy standards. This is a high-impact role where you'll help shape the foundation of our AI capabilities from the ground up. 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

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