AI Data Quality Analyst

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

Professional development and training

Career advancement opportunities

Job summary

EdgeQ Technologies Private Limited is seeking an AI Data Quality Analyst to join our United States-based data engineering team. You will evaluate, validate, clean, and maintain datasets used in AI/ML applications, ensuring accuracy, consistency, and reliability to improve model performance.

The candidate should have experience in data quality assessment, data validation, data annotation, SQL, Python, and AI/ML data workflows.

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 machine learning 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.
• Perform data annotation, labeling, classification, and categorization when required.
• Collaborate with Data Scientists, AI Engineers, and Data Engineers.
• Create SQL queries and Python scripts for automated data validation.
• Monitor data quality metrics and prepare analytical reports.
• Identify root causes of data quality issues and recommend corrective actions.
• Maintain data documentation, validation logs, and quality reports.
• Support continuous improvement of AI training datasets and data pipelines.

Skills

Data quality analysis

SQL

Python

Data validation

Data profiling

Attention to detail

Communication

Education

Bachelor's degree in CS/Data Science

Tools

SQL

Python

Pandas

NumPy

Job description

Location: United States

Headquarters: United States

AI Data Quality Analyst

Job Title: AI Data Quality Analyst
Location: United States (Remote)
Work Mode: 100% Remote
Experience: 2–6 Years
Salary Range: $70,000 – $115,000 per year (USD)
Employment Type: Full-Time
Job Category: Artificial Intelligence / Data Analytics / Data Quality

Job Summary

We are seeking a detail-oriented and analytical AI Data Quality Analyst to join our growing AI and Data Engineering team in the United States. The ideal candidate will be responsible for evaluating, validating, cleaning, and maintaining datasets used in artificial intelligence and machine learning applications.

The candidate should have experience in data quality assessment, data validation, data annotation, SQL, Python, and AI/ML data workflows. This role involves ensuring data accuracy, consistency, completeness, and reliability to improve AI model performance.

This position offers a fully remote work opportunity for qualified candidates across the United States.

Key Responsibilities

• Analyze, validate, and maintain datasets used for AI and machine learning 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.

• Perform data annotation, labeling, classification, and categorization when required.

• Collaborate with Data Scientists, AI Engineers, and Data Engineers.

• Create SQL queries and Python scripts for automated data validation.

• Monitor data quality metrics and prepare analytical reports.

• Identify root causes of data quality issues and recommend corrective actions.

• Maintain data documentation, validation logs, and quality reports.

• Support continuous improvement of AI training datasets and data pipelines.

Required Skills & 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.

• Understanding of AI, machine learning, and data preparation workflows.

• Experience with structured and unstructured datasets.

• Knowledge of data annotation and labeling methodologies.

• Familiarity with Excel, Google Sheets, and data visualization tools.

• Strong attention to detail and analytical thinking.

• Excellent communication and problem-solving skills.

Preferred Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, Information Technology, or a related field.

• Experience with AI/ML training data evaluation.

• Familiarity with data quality tools and frameworks.

• Knowledge of Tableau, Power BI, or similar reporting tools.

• Experience with cloud data platforms such as AWS, Azure, or Google Cloud.

• Understanding of ETL/ELT pipelines and data warehousing.

• Familiarity with data governance, privacy, and compliance standards.

• Experience evaluating LLM outputs and Generative AI datasets.

Salary & Benefits

• Annual Salary: $70,000 – $115,000 USD.

• Competitive compensation based on experience and technical expertise.

• 100% remote work opportunity.

• Flexible working arrangements.

• Health, dental, and vision insurance.

• Paid time off and holidays.

• Retirement savings benefits, where applicable.

• Professional development and training opportunities.

• Career advancement opportunities.

Work Location

United States – Fully Remote

• Candidates from eligible locations across the United States are encouraged to apply.

• Must be legally authorized to work in the United States.

• Ability to collaborate with distributed teams across different US time zones.