AI Data Quality Assurance Specialist

3 hours ago

Cagayan de Oro, Northern Mindanao, Philippines beBeeData Full time $75,000 - $100,000

Job Title:

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AI Data Quality Assurance Specialist

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We are seeking a diligent and detail-focused Data Quality Assurance Specialist to maintain annotation standards and drive continuous improvements to keep AI data accurate, efficient, and scalable.

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">Responsibilities:">
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  • Quality Audits: Perform quality audits on annotated datasets to ensure they meet established guidelines and quality benchmarks.">
  • Data Evaluation: Leverage metrics such as F1 score and inter-annotator agreement to evaluate data quality.">
  • Error Analysis: Analyze annotation errors, trends, and project documentation to identify root causes and propose remediation strategies.">
  • Annotation Review: Resolve and analyze edge-case annotations to ensure quality and identify improvement areas.">
  • Process Optimization: Proficiently use annotation and quality control tools to perform reviews and track quality metrics.">
  • Guideline Expertise: Become an expert in project guidelines and provide feedback for clarifications or improvements.">
  • Automation Opportunities: Identify automation opportunities and contribute to documentation of quality standards and procedures.">
">Required Skills:">
  • ">
  • Experience: 1+ years of experience as a data analyst with exposure to data quality and/or data annotation, ideally in an AI/ML context.">
  • Familiarity: Familiarity with basic concepts of AI/ML pipelines and data.">
  • Analytical Skills: Strong analytical and problem-solving skills with an exceptional eye for detail.">
  • Communication Skills: Excellent written and verbal communication skills to clearly articulate quality issues and collaborate with diverse teams.">
  • Time Management: Ability to work independently and manage time effectively to meet deadlines.">
  • Critical Thinking: Strong problem-solving, critical thinking, and continuous optimization mindset.">
  • Adaptability: Positive can-do attitude and adaptability to new environments.">
">Benefits:">
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  • Remote Work: Work from anywhere you're most productive.">
  • Diverse Projects: Every dataset is unique: Audit, analyze, and improve AI/ML datasets across varied projects.">
  • Mission-Driven Team: Collaborate with analysts, engineers, and stakeholders to create accurate, reliable AI.">
">The Impact You'll Make:">
  • ">
  • Data Integrity: Guard data integrity through audits: Conduct quality audits against guidelines and benchmarks to uphold data reliability.">
  • Annotation Issues: Pinpoint and resolve annotation issues: Analyze error patterns and root causes to elevate quality.">
  • Process Efficiency: Optimize annotation processes: Proficiently use QA tools, propose automation, and maintain documentation of standards.">
  • Collaboration: Collaborate and coach: Work with stakeholders and annotators to clarify requirements and support skill development.">
  • Quality Performance: Track and communicate quality performance: Regularly report metrics and insights to drive continuous improvements.">
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