AI Data Quality Expert

1 day ago

Pasig, National Capital Region, Philippines beBeeDataQuality Full time ₱4,500 - ₱5,500
Job Opportunity

We are seeking a highly skilled and experienced individual to fill the role of AI Data Quality & Engineering Lead.

Job Description:

This position is responsible for developing, refining, and documenting quality assurance processes and standard operating procedures to ensure high-quality outputs. The successful candidate will establish comprehensive quality metrics that align with business objectives and industry standards. Additionally, they will continuously review and refine annotation workflows to proactively identify risks and areas to increase efficiency and reduce errors.

Key responsibilities include:

  • Drive the development, refinement, and documentation of quality assurance processes and standard operating procedures to ensure high-quality outputs.
  • Establish comprehensive quality metrics (e.g., F1 score, inter-annotator agreement) 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.
Requirements:

The ideal candidate will possess 3+ years of experience in data quality management, data operations, or related roles within AI/ML or data annotation environments. A proven track record in designing and executing quality assurance strategies for large-scale, multi-modal data annotation projects is also essential. Leadership experience, including managing and developing high-performing remote or distributed teams, is necessary for this role. The successful candidate will also have a deep understanding of data annotation processes, quality assurance methodologies, and statistical quality metrics.

Required skills and qualifications include:

  • 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.
  • Leadership experience, including 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.
  • Excellent communication skills, with experience presenting complex data and quality insights to technical and non-technical stakeholders.
  • Proficiency with annotation and QA tools (e.g., Labelbox, Dataloop, LabelStudio).
  • Familiarity with programmatic data analysis techniques (e.g., Python, SQL).
  • High-level proficiency in common data-analysis tools, such as Excel and Google Sheets.
What We Offer:

The successful candidate will receive a competitive salary and comprehensive benefits package, as well as ongoing feedback, training, and support to help them grow in their career. They will also have the opportunity to work with a talented team of professionals who are passionate about delivering high-quality results in a dynamic and supportive work environment that encourages collaboration and innovation.

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