Data Labeling Lead in United States at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Labeling Lead in United States.

This role is central to building the high-quality training data that powers advanced AI systems at scale. You will lead a team responsible for annotating complex, real-world documents that directly influence model performance and reliability. Acting as both an operational leader and quality guardian, you will define rigorous labeling standards and continuously improve workflows to ensure consistency and precision. You will collaborate closely with machine learning engineers and technical teams to understand edge cases and evolving data requirements. The environment is fast-paced, highly technical, and detail-intensive, requiring strong ownership and the ability to operate in ambiguous, evolving contexts. This is a high-impact position where your work directly shapes the accuracy and effectiveness of cutting-edge AI systems used by leading organizations.

• Lead, train, and manage an in-house data labeling team, ensuring alignment, productivity, and high-quality output across all annotation tasks.
• Design, implement, and continuously improve data labeling workflows, processes, and guidelines with a strong focus on precision and consistency.
• Ensure data quality standards are consistently met, performing reviews, audits, and corrective actions where needed.
• Collaborate closely with ML engineers and technical stakeholders to understand model requirements, edge cases, and annotation priorities.
• Coordinate team schedules and operations, including managing nighttime hours aligned with Pacific Time (PT) requirements.
• Monitor performance metrics and drive operational improvements to enhance efficiency and labeling accuracy over time.
• Support the development of scalable labeling systems and contribute to improving internal tooling and processes.

• 3+ years of experience in data labeling, operations, or team management within a technical or data-driven environment.
• Strong proficiency in Python and comfort working with basic data labeling tools, scripts, or internal applications.
• Proven ability to lead teams, manage workflows, and maintain high standards of operational execution.
• Exceptional attention to detail and strong commitment to accuracy and quality assurance.
• Experience working with AI/ML data pipelines, annotation frameworks, or structured data workflows is highly valued.
• Ability to work night shifts aligned with Pacific Time (PT) schedules.
• Strong collaboration skills with both technical (engineering, ML) and non-technical stakeholders.
• Comfortable in fast-paced, high-growth, and rapidly changing environments with strong ownership mindset.

• Competitive compensation aligned with experience and contract structure.
• Opportunity to directly impact the performance of advanced AI systems used by leading global organizations.
• Fully remote role across North America with flexible working arrangements.
• High-growth, fast-paced environment with strong ownership and autonomy.
• Exposure to cutting-edge AI/ML workflows and collaboration with world-class technical teams.
• Opportunity to build and optimize foundational data processes at scale.