AI Data Quality Strategist

19 hours ago


Pulong Santa Cruz, Calabarzon, Philippines beBeeDataQuality Full time $90,000 - $115,000
Job Overview

The AI Data Quality & Engineering Lead will be responsible for architecting and upholding high-quality annotation workflows to ensure AI models are built and evaluated on reliable data without compromising speed or efficiency.

Key Responsibilities
  • Develop, refine, and document quality assurance processes and SOPs to ensure high-quality outputs.
  • Establish quality metrics (e.g., F1 score, inter-annotator agreement) that align with business objectives and industry standards.
  • Continuously review annotation workflows to identify risks and opportunities to increase efficiency and reduce errors.
  • Act as a subject matter expert on annotation quality, providing ongoing feedback, training, and support to annotators and project teams.
  • Lead in-depth data analysis to diagnose quality issues, assess strategy effectiveness, and uncover root causes of recurring errors.
  • Develop dashboards for real-time quality metrics and project performance.
  • Prepare and deliver strategic quality reports to senior management and clients, outlining quality trends, risks, and improvement plans.
  • Collaborate with cross-functional teams to align on project goals and QA initiatives.
Leadership Role
  • Lead a team of Data Quality Analysts, providing mentorship and training to foster continuous improvement and accountability.
  • Manage configuration and integration of annotation and quality control tools to ensure optimal performance.
Innovative Approach
  • Identify and implement innovative quality control tools and automation technologies to streamline workflows and improve efficiency.


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