Remote AI Data Quality Analyst - Python/SQL & ML Validation

EdgeQ Technologies Private Limited; United States; Remote; USD 70,000 - 115,000; Full time

Benefits offered by this job

100% remote work

Health, dental, and vision insurance

Paid time off and holidays

Retirement savings benefits

Job summary

EdgeQ Technologies Private Limited is seeking an AI Data Quality Analyst for a fully remote US-based role. You will evaluate, validate, clean, and maintain datasets for AI/ML applications, using SQL and Python to automate validation and ensure data accuracy across training and testing sets.

You will collaborate with data scientists and engineers, develop data quality standards, and monitor metrics to support robust AI workflows. The position supports remote work across the United States.

Qualifications

• 2–6 years of experience in Data Quality Analysis, Data Analytics, or AI Data Quality roles.
• Strong understanding of data validation, data cleaning, and data profiling.
• Working knowledge of SQL and database management.
• Experience with Python for data analysis and validation.
• Familiarity with Pandas, NumPy, and data processing libraries.

Responsibilities

• Analyze, validate, and maintain datasets used for AI and ML applications.
• Identify missing, duplicate, inconsistent, and inaccurate data.
• Perform data cleaning, preprocessing, and quality checks.
• Evaluate training and testing datasets for accuracy and completeness.
• Develop and maintain data quality standards and validation procedures.
• Review AI-generated outputs and identify data-related errors or inconsistencies.
• Create SQL queries and Python scripts for automated data validation.
• Monitor data quality metrics and prepare analytical reports.

Skills

SQL

Python

Data validation

Data cleaning

Data profiling

AI/ML workflows

Pandas

NumPy

Education

Bachelor's degree

Tools

Tableau

Power BI

AWS

Azure

GCP

ETL tools

Job description

EdgeQ Technologies Private Limited is seeking an AI Data Quality Analyst for a fully remote US-based role. You will evaluate, validate, clean, and maintain datasets for AI/ML applications, using SQL and Python to automate validation and ensure data accuracy across training and testing sets.

You will collaborate with data scientists and engineers, develop data quality standards, and monitor metrics to support robust AI workflows. The position supports remote work across the United States.