Data AI Tester

About CloudLabs:
CloudLabs Inc was founded in 2014 in USA with the mission to provide exceptional IT & Business consulting services at a competitive price, to help clients realize the best value from their investments. Within a short span, CloudLabs evolved from pure-play consulting into a transformative partner for Business Acceleration Advisory, Transformative Application Development & Managed Services - enabling digital transformations, M&A transitions, Automation & Process-driven optimizations & complex Integration initiatives for enterprises across the globe. As a Strategic Planning & Implementation Partner for global companies, CloudLabs has seen a 200% uptake in winning high-value, high-impact and high-risk projects that are critical for the business.
With offices in the US, Canada & India and with the team of 250+ experienced specialists, CloudLabs is now at an inflection point and ready for its next curve of progress.
Please write & follow us here:
Website: cloudlabsit.com
LinkedIn: CloudLabs Inc
Email us: info@cloudlabsit.com
Experience Required: 4 -10 years of experience
Job type: Fulltime
Job Location: India (Remote)
Start Date: Immediate or as soon as available
What we offer:
We welcome candidates rejoining the workforce after career break/parental leave and support their journey to reacclimatize too corporate.
Flexible remote work.
Opportunity to work remotely is available.
Role Overview
We are looking for a Manual Data AI Tester to validate AI/GenAI solutions developed for data and analytics projects. The role will focus on functional testing, data validation, and evaluating AI-generated outputs for accuracy, relevance, and consistency.
Key Responsibilities
Perform manual, functional, regression, integration, and exploratory testing of AI/data solutions.
Create test scenarios and test cases based on business and technical requirements.
Validate data, transformations, and outputs using SQL.
Evaluate AI/GenAI outputs for accuracy, relevance, consistency, grounding, and detection of hallucinations.
Perform prompt and response testing across different scenarios and edge cases.
Validate data pipelines, integrations, and end-to-end workflows.
Identify, document, and track defects with clear evidence and reproduction steps.
Work with developers, data engineers, and business teams to investigate and resolve issues.
Maintain test cases, execution results, and testing documentation.
Perform usability and user acceptance validation of AI-powered solutions.
Required Skills
4–10 years of experience in manual QA/testing, preferably in data or analytics projects.
Strong SQL skills with experience in data validation, reconciliation, and root cause analysis.
Understanding of SDLC, STLC, defect management, and QA processes.
Experience with Jira/Xray or similar tools.
Good understanding of AI/ML and Generative AI concepts.
Understanding of AI testing concepts such as hallucinations, prompt testing, response validation, and grounding.
Good to Have
Experience testing AI/GenAI, RAG, chatbots, or AI-powered data solutions.
Exposure to Azure, AWS, Databricks, or modern cloud-based data platforms.
Experience with Snowflake or other cloud data platforms.
Knowledge of ETL/ELT and data warehousing.
Basic Python or API testing knowledge.

Work arrangement
Yes