Senior AI Data Quality Lead

7 days ago

Tanauan, Calabarzon, Philippines beBeeDataQuality Full time $100,000 - $120,000
About the Role

The ideal candidate will have a proven track record of leading data quality management initiatives and driving high-performing teams in fast-paced environments.

Responsibilities include architecting and upholding high-quality annotation workflows, ensuring quality at scale, driving transparency and insight, and championing tool innovation and efficiency.

Key Responsibilities
  • Design and execute quality assurance strategies for large-scale data annotation projects.
  • Lead a team of Data Quality Analysts and provide mentorship, training, and expertise to foster a culture of continuous improvement and accountability.
  • Develop and continually refine robust QA processes, SOPs, and statistical quality metrics to protect the integrity of annotation outputs.
  • Create dashboards and reports that reveal quality trends, root causes of errors, and improvement opportunities, communicating these insights to leadership and clients.
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 data annotation projects.
  • Strong data-analysis skills, with the ability to interrogate large datasets, perform statistical analyses, and translate findings into actionable recommendations.
  • Excellent communication skills, with experience presenting complex data and quality insights to technical and non-technical stakeholders.
Benefits
  • Remote-first flexibility: Work from anywhere you're most productive.
  • Visible impact: Your architectures directly influence how the world's leading AI teams mitigate risk.
  • Room to grow: Build the solutions function from scratch and scale into leadership as revenue follows.

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