Data Quality and Engineering Lead

1 day ago

Lipa City, Calabarzon, Philippines beBeeData Full time $1,000,000 - $1,200,000
Overview

Job Description

The role of AI Data Quality and Engineering Lead is a critical position in our organization, responsible for ensuring the integrity and accuracy of data used in AI systems. This includes architecting and upholding high-quality annotation workflows to guarantee that AI models are built and evaluated on reliable data without compromising speed or efficiency.

Key Responsibilities
  • Develop and refine quality assurance processes and standard operating procedures to ensure high-quality outputs.
  • Establish comprehensive quality metrics that align with business objectives and industry standards.
  • Continuously review and refine annotation workflows to proactively identify risks and areas to increase efficiency and reduce errors.
  • Act as subject matter expert on annotation quality, providing feedback, training, and support to annotators and project teams.
Analysis and Reporting
  • Lead in-depth data analysis to diagnose quality issues, assess the effectiveness of quality strategies, and uncover root causes of recurring errors.
  • Develop and maintain dashboards that provide real-time insights into quality metrics and project performance.
  • Prepare and deliver strategic quality reports to senior management and clients, articulating quality trends, risks, and improvement plans.
Operational Leadership
  • Lead a team of Data Quality Analysts and provide mentorship, training, and expertise, fostering a culture of continuous improvement and accountability.
  • Manage the configuration and integration of annotation and quality control tools, ensuring optimal tool performance and alignment with project requirements.
Requirements
  • 3+ years of experience in data quality management, data operations, or related roles within AI/ML or data annotation environments.
  • Proven track record in designing and executing quality assurance strategies for large-scale, multi-modal data annotation projects.
  • Proven track record in a leadership role managing and developing high-performing, remote or distributed teams.
  • Deep understanding of data annotation processes, quality assurance methodologies, and statistical quality metrics.
  • Strong data-analysis skills, with the ability to interrogate large datasets, perform statistical analyses, and translate findings into actionable recommendations.
Benefits
  • Competitive industry salaries and comprehensive benefits packages.
  • Remote-first flexibility: Work from anywhere you're most productive.
  • Every challenge is new: Work on first‑of‑their‑kind problems at the frontier of AI safety.
Other Information

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Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.

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