**Role & seniority: ** AI QA Intern (Freshers/Interns, ~0–1 year); 3–4 months internship

**Location & work type: ** Ahmedabad — on-site/hybrid; in-person

**Stack/tools (mentioned): **

QA/test management: Jira, TestRail, Azure DevOps (or similar)
AI tools/models: ChatGPT, Claude, Gemini, Copilot
API testing: Postman (preferred)
Data/query: SQL (preferred)
Scripting: Python or JavaScript (plus)

**Top 3 responsibilities: **

Test AI-driven applications (chatbots, automation tools, ML products) via functional/regression/usability/exploratory testing
Evaluate AI model outputs for accuracy, relevance, consistency, and guideline compliance; provide detailed feedback
Create/execute test cases & plans and log/track/report defects & performance issues (including QA documentation)

**Must-have skills: **

Strong analytical/problem-solving and attention to detail
Basic understanding of software testing concepts and SDLC/STLC
Clear written/verbal communication and professional bug/issue documentation
Familiarity with Generative AI tools (e.g., ChatGPT/Claude/Gemini/Copilot)
Interest/curiosity to understand and challenge AI behavior

**Nice-to-haves: **

AI/ML concepts, prompt engineering, and LLM evaluation
QA tool proficiency (Jira/TestRail/Azure DevOps)
SQL for data validation
Postman for API testing
Basic **Python/JavaS

Full Description

Job Description

Location: Ahmedabad (On-site/Hybrid)

Duration: 3-4 Months Internship

Stipend: Competitive (Based on Skills & Experience)

About The Role

We are looking for a highly motivated AI QA Intern from a reputed engineering, technology, or management institution who is passionate about Artificial Intelligence, quality assurance, and emerging technologies. The intern will work closely with our AI and Product teams to test AI-driven applications, validate model outputs, identify defects, and help improve the overall quality and reliability of AI products.

Key Responsibilities

Test AI-powered applications, chatbots, automation tools, and machine learning-based products. Evaluate AI model responses for accuracy, relevance, consistency, and compliance with defined guidelines. Create and execute test cases, test scenarios, and test plans for AI features. Identify, document, track, and report bugs and performance issues. Perform functional, regression, usability, and exploratory testing. Analyze AI-generated outputs and provide detailed feedback for model improvement. Collaborate with Product Managers, Developers, Data Scientists, and AI Engineers to resolve issues. Maintain QA documentation, testing reports, and defect logs. Support automation testing initiatives where applicable.

Required Qualifications

Pursuing or recently completed Bachelor's/Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Engineering, or related fields. Strong analytical and problem-solving skills. Excellent attention to detail and curiosity to understand AI behavior. Good written and verbal communication skills. Basic understanding of software testing concepts and SDLC/STLC. Familiarity with Generative AI tools such as ChatGPT, Claude, Gemini, or Copilot. Ability to document findings clearly and professionally.

Preferred Skills

Knowledge of QA tools such as Jira, TestRail, Azure DevOps, or similar. Understanding of AI/ML concepts, prompt engineering, and LLM evaluation. Basic SQL knowledge and data validation skills. Exposure to API testing tools such as Postman. Basic scripting knowledge (Python, JavaScript, or similar) is a plus.

What You'll Gain

Hands-on experience testing cutting-edge AI products. Exposure to Generative AI, Machine Learning, and Large Language Models (LLMs). Mentorship from experienced AI and Product professionals. Opportunity for a full-time role based on performance. Experience working in a fast-paced innovation-driven environment.

Ideal Candidate Profile

Strong academic background from a reputed college/university. Curious about AI technologies and emerging trends. Detail-oriented with a quality-first mindset. Able to think critically and challenge AI outputs. Eager to learn and work in a collaborative team environment.

Experience: Freshers/Interns (0–1 Year)

Education: B.Tech, BE, M.Tech, MCA, MSc (IT/AI/Data Science), or equivalent.

Work Location: In person