AI Data Quality Specialist

3 days ago

Pasay, National Capital Region, Philippines beBeeDataQuality Full time $50,000 - $70,000

About Us: At TaskUs, we provide outsourced digital services and next-generation customer experience to fast-growing technology companies. Our mission is to help clients represent, protect and grow their brands through innovative solutions and strategic partnerships.

We leverage a cloud-based infrastructure to serve clients across various sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech.

Our company culture focuses on constant motion, exploring new technologies, and mastering consistency in an ever-changing world. We prioritize our employees' well-being by offering competitive industry salaries and comprehensive benefits packages.

Key Responsibilities:

Data Analysis

  • Perform quality audits on annotated datasets to ensure they meet established guidelines and quality benchmarks.
  • Use statistical based quality metrics such as F1 score and inter-annotator agreement to evaluate data quality.
  • Analyze annotation errors, trends, project processes, and project documentation to identify and understand the root cause of errors and propose remediation strategies.
  • Resolve and analyze edge-case annotations to ensure quality and identify areas for improvement.
  • Use annotation and quality control tools to perform reviews and track quality metrics.

Continuous Improvement

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

Collaboration & Communication

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

Required Skills and Qualifications

  • 1+ years of experience as a data analyst with exposure to data quality and/or data annotation - ideally within an AI/ML context.
  • Familiarity with the basic concepts of AI/ML pipelines and data.
  • Strong analytical and problem-solving skills with an exceptional eye for 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 work independently in a fast-paced environment.

Benefits

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

Others

  • TaskUs provides a supportive and inclusive work environment.
  • Opportunities for career advancement and professional growth.
  • Regular feedback and coaching to ensure success.

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