High-Quality Data Expert

7 days ago

Sorsogon, Bicol, Philippines beBeeData Full time ₱1,200,000 - ₱1,800,000

About the Role

We are seeking a detail-oriented AI Data Quality Analyst to join our team. In this role, you will be responsible for ensuring the quality of annotated datasets and providing high-quality data to support AI/ML models.

Key Responsibilities:

  • Quality Audits - Perform thorough audits on annotated datasets to ensure they meet established guidelines and quality benchmarks.
  • Statistical Reporting - Use statistical metrics such as F1 score and inter-annotator agreement to evaluate data quality.
  • Root Cause Analysis - Analyze annotation errors, trends, project processes, and project documentation to identify and understand the root cause of errors and propose remediation strategies.
  • Edge-Case Management - Resolve and analyze edge-case annotations to ensure quality and identify areas for improvement.
  • Tooling - Become proficient in using annotation and quality control tools to perform reviews and track quality metrics.
  • Guidelines - Develop an expert understanding of project-specific guidelines and provide feedback for potential clarifications or improvements.

Continuous Improvement

  • Automation - Identify opportunities to use automation to enhance analytics, provide deeper insights, and improve efficiency.
  • Documentation - Develop and maintain up-to-date documentation on quality standards, annotation guidelines, and quality control procedures.
  • Feedback - Provide regular feedback that identifies areas for improvement across the annotation pipeline.

Collaboration & Communication

  • Cross-Functional Teamwork - Work closely with key project stakeholders and clients to understand project requirements and improve annotation pipelines.
  • Training - Assist with training annotators, providing guidance, feedback, and support to ensure data quality.
  • Reporting - Provide regular updates that highlight data quality metrics, key findings, and actionable insights for continuous process improvements.

Required Qualifications:

  • At least 1 year of experience as a data analyst with exposure to data quality and/or data annotation, preferably within an AI/ML context.
  • Familiarity with basic AI/ML concepts and data quality principles.
  • Strong analytical and problem-solving skills with exceptional attention to detail.
  • Excellent written and verbal communication skills, with the ability to clearly articulate quality issues and collaborate with diverse teams.
  • Ability to work independently and manage time effectively to meet deadlines.
  • A strong problem-solver who thinks critically and drives innovation and continuous optimization.
  • A quick learner with the ability to adapt to new environments.
  • A strong focus on detail balanced against strategic priorities.
  • A positive attitude and willingness to adapt.

Benefits

  • Competitive industry salaries.
  • Comprehensive benefits packages.
  • Opportunities for professional growth and development.

Other Opportunities

  • Inclusive and equitable practices.
  • Equal access to opportunities.
  • Reasonable accommodations available for applicants with disabilities.

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