Data Labeling Lead
Fully remote role across North America, Pacific Time (PT) - night shifts requiredContractLead
Salary not disclosed
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Job Details
- Experience
- 3+ years
- Required Skills
- PythonMachine LearningOperations ManagementQuality AssuranceTeam management
Requirements
- 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.
Responsibilities
- 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.
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