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AI Data Quality Analyst

Job Description

As an AI Data Quality Analyst at Sealcube, you will ensure that every dataset delivered to customers meets the highest standards of quality, consistency, accuracy, and compliance. Your work will directly influence the performance of next-generation AI systems.

You will collaborate with operations, engineering, and research teams to identify data quality issues, improve validation processes, and maintain trusted datasets at scale.

Key responsibilities
  • Check iconReview datasets for accuracy, completeness, and consistency
  • Check iconIdentify anomalies, errors, and quality issues within collected data
  • Check iconCollaborate with engineering teams to improve validation workflows
  • Check iconMaintain quality assurance documentation and reports
  • Check iconMonitor quality metrics and recommend process improvements
  • Check iconEnsure compliance with internal data standards
Requirements
  • Check icon1-3 years of experience in quality assurance, analytics, or data operations
  • Check iconStrong analytical and problem-solving skills
  • Check iconExceptional attention to detail
  • Check iconExperience with spreadsheets, SQL, or data analysis tools is preferred
  • Check iconAbility to work independently and manage multiple priorities
What we offer
  • Check iconCompetitive compensation and growth opportunities
  • Check iconExposure to cutting-edge AI and machine learning projects
  • Check iconFlexible work environment
  • Check iconCollaborative and mission-driven culture
  • Check iconOpportunities to shape foundational AI datasets
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