AI Data Quality Analyst – $115K, SQL & ML Skills

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

AI Data Quality Analyst – $115K, SQL & ML Skills — Remote

Location Remote

Company EdgeQ Technologies Private Limited

A High-Growth Niche at the Intersection of AI and Data Engineering

AI Data Quality is one of the fastest-emerging specializations in tech. As organizations scale their ML pipelines and LLM applications, the demand for professionals who can ensure training data integrity is growing rapidly — and supply remains limited. This role positions you at that intersection.

Compensation Assessment: The $70k–$115k range is reasonable for 2–6 years of experience, though on the lower end compared to pure Data Engineering or ML Engineering roles at the same level (which often start at $90k–$130k). The wide band suggests room for negotiation based on specialization in LLM/GenAI data evaluation.

• AI/ML data pipeline quality — high demand across every industry adopting AI
• Python + SQL for automated validation — foundational and transferable
• LLM output evaluation — a cutting-edge skill with very few experienced practitioners
• Data governance and compliance — increasingly critical under emerging AI regulations

Green flags: The role touches GenAI/LLM datasets, cloud platforms (AWS/Azure/GCP), and ETL pipelines — all resume-builders for future ML Engineer or Data Engineering pivots.

Yellow flags: The company (EdgeQ Technologies) is relatively small; "retirement savings benefits, where applicable" is a vague benefit. The posting is broad in scope, suggesting a generalist data quality role rather than a deep AI specialization. Clarify during interview how much time is spent on LLM-specific work versus routine data cleaning.

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

• 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.

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.

Equal Opportunity Employer: We welcome qualified candidates from diverse professional backgrounds and encourage applications from eligible candidates across the United States.

Is this AI Data Quality Analyst role fully remote? Yes, the position is 100% remote. Candidates must be located in the United States and legally authorized to work there, but no physical office attendance is required. What is the salary range for this position? The annual salary ranges from $70,000 to $115,000 USD, with compensation determined by experience and technical expertise. Do I need a degree to apply for this role? A Bachelor's degree in Computer Science, Data Science, Statistics, or a related field is listed as a preferred qualification, not a strict requirement. Relevant experience in data quality analysis or AI/ML data workflows is the primary criterion. What technical skills are required for this job? Core requirements include SQL, Python (with Pandas/NumPy), data validation and cleaning experience, and familiarity with AI/ML data workflows. Experience with cloud platforms (AWS, Azure, GCP) and LLM output evaluation is a plus. Will I need to work specific hours or be available across time zones? The posting mentions collaboration across different US time zones, implying some core overlap hours are expected. The schedule is described as flexible, but fully async work is not explicitly guaranteed.

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