Sobre a vaga
Do anúncio da empresa · Xperteez Technology · publicado em 11 de outubro de 2026
Role Title: Data Analyst
Role Type: Contractor
Location: Remote
We are engaging Data Analysts to contribute to a high-impact customer project focused on business data. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. This opportunity is ideal for experienced professionals who can expertly review, analyze, and ensure the privacy of large-scale data sets, with a particular emphasis on business data and quality assurance.
Required Skills
-
PII
-
Data Privacy
-
Document Review
-
Data Analysis
-
Quality Assurance
Scope of Work
-
Review and analyze extensive business data sets for accuracy, completeness, and relevance.
-
Conduct thorough document review with strict adherence to data privacy and PII protocols.
-
Identify, flag, and resolve data quality issues, inconsistencies, and anomalies.
-
Deliver detailed feedback and recommendations on data findings to inform AI training processes.
-
Contribute to the development and refinement of quality assurance standards for data review assignments.
-
Collaborate with project stakeholders through clear, professional written and verbal communication.
-
Ensure compliance with all established data privacy and security guidelines throughout project deliverables.
Preferred Qualifications
-
Demonstrated expertise in handling and analyzing large business data sets.
-
Proven experience managing data containing personally identifiable information (PII) and sensitive material.
-
Strong understanding of data privacy regulations and best practices.
-
Background in document review, data quality assurance, or audit projects.
-
Exceptional written and verbal communication skills; ability to convey complex findings clearly and concisely.
-
High attention to detail and commitment to data accuracy and integrity.
-
Experience working remotely and delivering consistent, reliable output in a distributed project environment.
Originally posted on Himalayas