Remote opportunity at
EdgeQ Technologies Private LimitedAI Data Quality Analyst
EdgeQ Technologies Private Limited seeks an AI Data Quality Analyst to join their artificial intelligence and data engineering team in the United States. This position is…
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About This Role
EdgeQ Technologies Private Limited seeks an AI Data Quality Analyst to join their artificial intelligence and data engineering team in the United States. This position is 100% remote. The person filling this role will inspect, cleanse, and uphold information integrity for machine learning and artificial intelligence applications, ensuring optimal model performance by checking for accuracy, completeness, and consistency. This opportunity fits professionals possessing two to six years of background in…
Job Description
EdgeQ Technologies Private Limited seeks an AI Data Quality Analyst to join their artificial intelligence and data engineering team in the United States. This position is 100% remote. The person filling this role will inspect, cleanse, and uphold information integrity for machine learning and artificial intelligence applications, ensuring optimal model performance by checking for accuracy, completeness, and consistency.
This opportunity fits professionals possessing two to six years of background in data analytics, data quality analysis, or related AI data functions. The selected individual will work alongside artificial intelligence engineers, data scientists, and data engineers to establish protocols, write automation scripts, review generated outputs, and monitor metrics related to dataset reliability.
Responsibilities
- Analyze, validate, and maintain datasets intended for machine learning and artificial intelligence systems
- Locate missing, inaccurate, duplicate, or inconsistent information
- Execute data preprocessing, cleansing, and quality assessments
- Assess testing and training data for completeness and precision
- Establish and uphold validation procedures and quality criteria
- Inspect AI-generated outputs to flag data inconsistencies or errors
- Handle data classification, labeling, categorization, and annotation as needed
- Partner with data engineers, artificial intelligence engineers, and data scientists
- Draft Python scripts and SQL queries for automated validation processes
- Track information quality metrics and compile analytical summaries
- Determine root causes for quality flaws and propose corrective steps
- Keep up validation logs, quality documentation, and reports
- Aid in the ongoing enhancement of pipelines and training datasets
Requirements
- Two to six years of professional background in data analytics, data quality analysis, or AI data quality positions
- Familiarity with data profiling, cleansing, and validation concepts
- Working knowledge of database management and SQL
- Experience utilizing Python for validation and data analysis
- Acquaintance with data processing libraries, Pandas, and NumPy
- Understanding of machine learning, artificial intelligence, and data preparation workflows
- Exposure to both structured and unstructured datasets
- Familiarity with labeling and data annotation methodologies
- Proficiency with Google Sheets, Excel, and data visualization software
- Strong analytical thinking and meticulous attention to detail
- Problem-solving and communication abilities
- Legal authorization to work in the United States
- Capacity to coordinate with distributed teams across US time zones
Qualifications
- Bachelor's degree in Information Technology, Statistics, Data Science, Computer Science, or a related field
- Background in evaluating training information for artificial intelligence and machine learning
- Acquaintance with data quality frameworks and software tools
- Knowledge of reporting applications such as Power BI or Tableau
- Background with Google Cloud, Azure, or AWS cloud data platforms
- Familiarity with data warehousing and ETL or ELT pipelines
- Knowledge of compliance, privacy, and data governance standards
- Experience assessing Generative AI datasets and large language model outputs
Core Skills
Benefits
- Annual compensation between $70,000 and $115,000 USD
- Fully remote work setup
- Flexible work schedules
- Vision, dental, and health coverage
- Paid holidays and time off
- Retirement savings plans where applicable
- Training and professional development offerings
- Career growth potential
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position fully remote?
Yes, the posting specifies that the role is 100% remote within the United States.
What is the salary range for the AI Data Quality Analyst role?
The annual salary ranges from $70,000 to $115,000 USD, determined by experience and technical expertise.
How many years of experience are required?
Candidates must have two to six years of experience in data analytics, data quality analysis, or AI data quality roles.
How do I apply for this job?
Interested candidates can submit an updated resume with contact details, technical skills, relevant experience, and project portfolios through the application link provided in the original posting.
Sample Interview Questions
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