AI Data Quality Analyst – $115K, SQL & ML Skills in Columbus
Career & Market Insight
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.
Skills you'll develop:
- 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.
Headquarters: United States
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.
How to Apply
Interested candidates can submit their updated resume along with contact details, relevant AI Data Quality experience, technical skills, and project portfolios.
Equal Opportunity Employer: We welcome qualified candidates from diverse professional backgrounds and encourage applications from eligible candidates across the United States.
To apply: https://weworkremotely.com/remote-jobs/edgeq-technologies-private-limited-ai-data-quality-analyst
Frequently Asked Questions
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