Remote Data Quality Analyst for AI Training

SaidGig; New York (NY); Remote; USD 43,000 - 83,000; Full time

Job summary

SaidGig is seeking a detail-oriented data reviewer to help improve AI systems by analyzing large business datasets, ensuring accuracy, privacy, and integrity in every deliverable. You will review data for completeness, flag quality issues, and provide clear findings and recommendations to support model training and evaluation while adhering to strict PII protocols.

Remote work available globally. Strong written and verbal communication is essential to convey complex results to project

Qualifications

• Experience analyzing large business datasets.
• Experience working with PII and other sensitive information.
• Strong knowledge of data privacy regulations and best practices.
• Background in document review, data quality assurance, or audit work.
• Strong written and verbal communication skills, including the ability to explain complex findings clearly.
• Exceptional attention to detail and commitment to data accuracy and integrity.
• Ability to work remotely and deliver dependable output in a distributed project environment.

Responsibilities

• Review large business datasets for accuracy, completeness, and relevance.
• Conduct document reviews while following strict data privacy and PII protocols.
• Identify, flag, and resolve data-quality issues, inconsistencies, and anomalies.
• Provide detailed findings and recommendations to support AI training processes.
• Help develop and refine quality-assurance standards for data-review assignments.
• Communicate clearly with project stakeholders in writing and verbally.
• Follow established data privacy and security requirements throughout all deliverables.

Skills

Data analysis

PII handling

Data privacy

Documentation review

Written communication

Attention to detail

Remote work

Job description

SaidGig is seeking a detail-oriented data reviewer to help improve AI systems by analyzing large business datasets, ensuring accuracy, privacy, and integrity in every deliverable. You will review data for completeness, flag quality issues, and provide clear findings and recommendations to support model training and evaluation while adhering to strict PII protocols.

Remote work available globally. Strong written and verbal communication is essential to convey complex results to project