AI Data QA Analyst

Experience: 2.00 + years

Salary: INR [phone removed] / year (based on experience)

Expected Notice Period: 30 Days

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Hybrid ()

Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: )

(*Note: This is a requirement for one of Uplers client - )

What do you need for this opportunity

Must have skills required:

AI/ML, LLM, Vector Database, Python, SQL

is Looking for:

GRG Health is a global leader in healthcare professional (HCP) market research, data, and engagement, building AI-driven platforms for global pharmaceutical and life sciences organizations.

Role Overview

This role ensures the quality, accuracy, and reliability of the data that feeds GRG Health's AI and LLM-driven systems. The AI Data QA Analyst validates datasets, pipelines, and model inputs and outputs, working closely with data and AI engineering teams to uphold high data quality standards across healthcare and life sciences platforms.

Key Responsibilities

• Design and execute data quality checks, validation rules, and test cases for AI data pipelines
• Validate the accuracy, completeness, and consistency of structured and unstructured datasets
• Test data transformations, ETL/ELT outputs, and data used for model training and inference
• Evaluate AI/LLM outputs for correctness, relevance, and quality against defined criteria
• Identify, document, and track data defects and anomalies using standard tools
• Build and maintain automated data validation scripts and quality dashboards
• Collaborate with data engineers, AI engineers, and product teams to resolve data issues
• Contribute to data governance, documentation, and quality standards
  
  

Required Experience & Skills

• 2+ years of professional experience in data quality, QA, or data analysis roles
• Strong proficiency in SQL for data validation and analysis
• Working knowledge of Python for data testing and automation
• Understanding of data quality dimensions: accuracy, completeness, consistency, and validity
• Familiarity with data pipelines, ETL processes, and structured/unstructured data
• Exposure to AI/ML or LLM-based systems and output evaluation is a plus
• Strong analytical, problem-solving, and documentation skills
  
  

Preferred

• Experience with data validation frameworks such as Great Expectations or dbt tests
• Familiarity with vector databases and RAG pipeline evaluation
• Exposure to healthcare or life sciences datasets
  
  

Work Culture & Expectations

• Startup-lean environment with enterprise-grade quality standards
• High-ownership role with accountability for data quality and reliability
• Strong collaboration across data, AI, and product teams
• Continuous learning mindset with focus on data quality and automation
• Bias toward execution, attention to detail, and proactive problem-solving
  
  

Interview Round

Round 1: Technical Interview (1 hour)

Round 2: Culuture fitment (45 mins)

How to apply for this opportunity

• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
  
  

About Uplers:

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!