YO AI Labs logo
YO AI Labs
Posted 25 days agoVerified live 17h ago

Data Analyst - Remote

Brief overview

Remote
UndergradOr in progress
1+ yrsMinimum
Data AnalysisPII HandlingData PrivacyData SecurityDocument ReviewData Quality AssuranceData Auditing

About the company

YO AI Labs logo
YO AI Labsyoailabs.com

YO AI Labs is an AI data solutions company specializing in high-quality data annotation, data labeling, AI training, and human-in-the-loop services that power the next generation of artificial intelligence.

Job description

Summary

YO AI Labs is seeking Data Analysts to support a customer project focused on business data analysis, document review, privacy, and quality assurance for AI training. The role involves reviewing datasets and documents, resolving data quality issues, providing findings for AI training, and maintaining privacy and security compliance.

Responsibilities

  • Review and analyze business datasets for accuracy and completeness
  • Conduct document reviews while following PII and data privacy requirements
  • Identify and resolve data quality issues, inconsistencies, and anomalies
  • Provide clear findings and feedback to support AI training
  • Support data quality and QA standards
  • Maintain compliance with privacy and security guidelines

Skills

  • • PII & Data Privacy
  • • Document Review
  • • Data Analysis
  • • Data Quality Assurance
  • • Attention to Detail
  • • Analytical & Problem-Solving Skills
  • • Written & Verbal Communication
  • • Experience analyzing large-scale business datasets
  • • Knowledge of PII handling, data privacy, and security practices
  • • Background in data review, QA, auditing, or related analytical work

Qualifications

Must Haves

  • • PII & Data Privacy
  • • Document Review
  • • Data Analysis
  • • Data Quality Assurance
  • • Attention to Detail
  • • Analytical & Problem-Solving Skills
  • • Written & Verbal Communication
  • • Experience analyzing large-scale business datasets
  • • Knowledge of PII handling, data privacy, and security practices
  • • Background in data review, QA, auditing, or related analytical work

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