Expert AI Data Quality Architectural Specialist

1 week ago

Barcelona, Philippines beBeeData Full time €60,000 - €80,000
Job Title: AI Data Quality and Engineering Lead

As the integrity of testing, training, and evaluation data has never been more critical in rapidly scaling AI systems across industries, we need a proactive leader who can architect and uphold high-quality annotation workflows.

The impact you'll make will be significant as you build and guide a high-performing team of Data Quality Analysts, setting clear quality goals, delivering feedback, and fostering a culture of precision and accountability. You'll ensure quality at scale by developing and continually refining robust QA processes, SOPs, and statistical quality metrics to protect the integrity of annotation outputs.

Additionally, you'll drive transparency and insight by creating dashboards and reports that reveal quality trends, root causes of errors, and improvement opportunities - communicating these insights to leadership and clients. Champion tool innovation and efficiency by managing annotation and QA platforms and leading the evaluation or implementation of new automation tools to elevate efficiency and maintain quality.

  • Strategic Leadership:
    • Drive the development, refinement, and documentation of 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 the subject matter expert on annotation quality, providing ongoing feedback, training, and support to annotators and project teams to uphold the highest quality standards.
  • Analysis & 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.
    • Partner with cross-functional teams, including operational management, engineering, and client services, to align on project goals and quality assurance initiatives.
  • 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.
    • Identify, evaluate, and implement innovative quality control tools and automation technologies to streamline quality control workflows, enhance analytical capabilities, and improve operational efficiency.

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