AI Data Quality Analyst

pofft Technology Inc.; United States; Remote; USD 70,000 - 115,000; Full time

Job summary

pofft Technology Inc. is seeking an AI Data Quality Analyst to join our remote US team. You will evaluate, validate, clean, and maintain datasets used in AI/ML workflows to improve model performance.

The ideal candidate has 2–6 years of data quality or data analytics experience and is proficient with SQL, Python, and data validation techniques. This fully remote role offers the opportunity to contribute across data pipelines and collaborate with Data Scientists and AI Engineers from anywhere in

Qualifications

• 2–6 years in Data Quality or AI Data Quality roles.
• Strong data validation, cleaning, and 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.

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

Data Analytics

AI Data Quality

SQL

Python

Pandas

NumPy

AI/ML data workflows

Structured data

Unstructured data

Data validation

Data cleaning

Data profiling

Excel

Google Sheets

Data visualization

Communication

Problem solving

Education

Bachelor's degree in CS/DS/Stats/IT or related field

Tools

Tableau

Power BI

AWS

Azure

Google Cloud

ETL/ELT tools

Job description

AI Data Quality Analyst USA Only 2 gün 6 saat 11 dakika önce yayınlandı. Full-Time We Work Remotely -

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.