AI Data Quality Specialist

6 hours ago

Manila, National Capital Region, Philippines beBeeDataQuality Full time ₱900,000 - ₱1,200,000
Job Title: AI Data Quality Expert

The role of the AI Data Quality Expert is critical in ensuring the accuracy and reliability of AI-driven solutions.

Key Responsibilities:
  • Conduct thorough quality audits to ensure datasets meet established guidelines and quality benchmarks.
  • Evaluate data quality using metrics such as F1 score and inter-annotator agreement.
  • 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.
  • Use annotation and quality control tools to perform reviews and track quality metrics.

Requirements:

  • At least 1 year of experience as a data analyst with exposure to data quality and/or data annotation, preferably in an AI/ML context.
  • Familiarity with basic concepts of AI/ML pipelines and data.

Desirable Skills:

  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent written and verbal communication skills to effectively 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.

Why this Role is Ideal for You:

  • Work from anywhere, at any time, to maximize productivity.
  • Audit, analyze, and improve AI/ML datasets across various projects.
  • Make a tangible impact on AI model performance.
  • Expand your influence as projects grow and expertise develops.
  • Join a mission-driven team working together to create accurate and reliable AI.

Impact You'll Make:

  • Guarantee data integrity through meticulous audits.
  • Identify and resolve annotation issues to elevate quality.
  • Optimize annotation processes using QA tools and propose automation.
  • Collaborate and coach stakeholders and annotators.
  • Track and communicate quality performance to drive continuous improvements.

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