Data Labeling Lead (AI)

TL;DR

Data Labeling Lead (AI): Leading and managing an in-house data labeling team to ensure high-quality training data for agentic document platforms with an accent on data annotation processes and accuracy standards. Focus on refining labeling guidelines, coordinating nighttime PT hours, and collaborating with ML engineers to handle complex edge cases.

Location: Remote (North America). Must be based in North America and able to work nighttime hours Pacific Time (PT).

Company

hirify.global is an agentic document platform providing a toolkit for high-accuracy document understanding for leading AI teams.

What you will do

• Lead, train, and manage the in-house data labeling team.
• Define and continuously improve data annotation processes with high attention to detail.
• Ensure high-quality data outputs and maintain rigorous accuracy and consistency standards.
• Collaborate with ML engineers to identify data requirements and address edge cases.
• Manage team schedules and coordinate work during nighttime hours Pacific Time (PT).

Requirements

• Must be based in North America.
• Ability to work nighttime hours Pacific Time (PT).
• 3+ years of experience in data labeling, operations, or team management.
• 3+ years of experience with Python and comfort managing data labeling apps.
• Strong attention to detail and a high bar for quality and precision.
• Ability to operate effectively in fast-changing, high-growth environments.

Nice to have

• Experience at an early-stage or high-growth startup.
• Familiarity with AI/ML data pipelines and labeling tools.

Culture & Benefits

• Direct impact on how top AI companies utilize enterprise data.
• High-velocity environment with frequent shipping and iteration.
• Opportunity to work with world-class engineers, operators, and founders.