Data Insights Specialist

1 day ago

Iloilo City, Western Visayas, Philippines beBeeDataInsights Full time $60,000 - $85,000
Job Title: Data Insights Specialist

About the Role:

The successful candidate will be responsible for ensuring high-quality data for our AI/ML models. This involves performing quality audits on annotated datasets, analyzing annotation errors, and proposing remediation strategies.

The ideal candidate will have strong analytical and problem-solving skills, excellent written and verbal communication skills, and the ability to work independently in a fast-paced environment.

Key Responsibilities:
  • Quality Audits: Perform quality audits on annotated datasets to ensure they meet established guidelines and quality benchmarks.
  • Statistical Reporting: Leverage statistical-based quality 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: Become an expert in 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.

Requirements include 1+ years of experience as a data analyst, familiarity with AI/ML pipelines and data, and a strong analytical and problem-solving skills set.

Our Requirements:

  • 1+ years of experience as a data analyst
  • Familiarity with AI/ML pipelines and data
  • Strong analytical and problem-solving skills set

Benefits:

We prioritize our employees' well-being by offering competitive industry salaries and comprehensive benefits packages.

Our commitment to a culture of excellence is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity.

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