AI Data Assurance Specialist

1 week ago

Pagadian, Zamboanga Peninsula, Philippines beBeeDataQuality Full time ₱1,000,000 - ₱1,500,000
About This RoleWe are seeking a detail-focused Data Quality Analyst to ensure the fidelity of training and evaluation datasets for AI-driven solutions. This role requires maintaining annotation standards and driving continuous improvements to keep AI data accurate, efficient, and scalable.

Key Responsibilities:

  • Perform quality audits on annotated datasets to ensure they meet established guidelines and quality benchmarks.

  • Leverage metrics such as F1 score and inter-annotator agreement to evaluate data quality.

  • Analyze annotation errors, trends, and project documentation to identify root causes and propose remediation strategies.

  • Resolve and analyze edge-case annotations to ensure quality and identify improvement areas.

  • Proficiently use annotation and quality control tools to perform reviews and track quality metrics.

  • Become an expert in project guidelines and provide feedback for clarifications or improvements.

  • Identify automation opportunities and contribute to documentation of quality standards and procedures.

RequirementsExperiences you'll bring

  • 1+ years of experience as a data analyst with exposure to data quality and/or data annotation, ideally in an AI/ML context.

  • Familiarity with basic concepts of AI/ML pipelines and data.

Core skills you'll need

  • Strong analytical and problem-solving skills with an exceptional eye for detail.

  • Excellent written and verbal communication skills to clearly articulate quality issues and collaborate with diverse teams.

  • Ability to work independently and manage time effectively to meet deadlines.

  • Strong problem-solving, critical thinking, and continuous optimization mindset.

  • Ability to work independently in a fast-paced environment with a focus on detail and strategic priorities.

  • Positive can-do attitude and adaptability to new environments.

  • Not afraid to speak up.

Why You'll Love This Role

  • Work remote: Work from anywhere you're most productive.

  • Every dataset is unique: Audit, analyze, and improve AI/ML datasets across varied projects.

  • Visible impact: Your quality checks and automation ideas will influence AI model performance.

  • Room to grow: Build expertise in AI data quality and expand your influence as projects grow.

  • Mission-driven team: Collaborate with analysts, engineers, and stakeholders to create accurate, reliable AI.

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