
AI Tester Intern
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About this internship
Dimakh Consultants is hiring a detail-oriented, analytical AI Tester Intern in Pune to evaluate, validate and improve the performance of AI-driven systems and applications. This role is ideal for freshers and interns (0–1 year) from an IT or Computer Science background who are excited about AI testing and machine-learning validation, and want hands-on experience on real projects. You will test and validate AI/ML models for accuracy, performance and reliability, design and execute test cases for AI-based applications, and analyse model outputs to spot inconsistencies or biases. You will run functional, regression and integration testing for AI systems, document test results, bugs and recommendations, ensure compliance with data-privacy and ethical-AI standards, and collaborate with developers, data scientists and product teams to improve model performance — including monitoring AI systems post-deployment.
Skills you'll use
What you'll do
- Test and validate AI/ML models for accuracy, performance and reliability
- Design and execute test cases for AI-based applications and systems
- Analyse AI model outputs and identify inconsistencies or biases
- Perform functional, regression and integration testing for AI systems
- Document test results, bugs and improvement recommendations
- Ensure compliance with data-privacy and ethical-AI standards; monitor post-deployment
Who can apply
- Bachelor’s degree in Computer Science, Data Science, AI or related field
- Basic understanding of Machine Learning and AI concepts
- Experience in software testing (manual and/or automated)
- Familiarity with testing tools and frameworks; Python a plus
- Strong analytical skills and attention to detail
Perks & benefits
About Dimakh Consultants
Dimakh Consultants is hiring a detail-oriented, analytical AI Tester Intern in Pune to evaluate, validate and improve the performance of AI-driven systems and applications. This role is ideal for freshers and interns (0–1 year) from an IT or Computer Science background who are excited about AI testing and machine-learning validation, and want hands-on experience on real projects. You will test and validate AI/ML models for accuracy, performance and reliability, design and execute test cases for AI-based applications, and analyse model outputs to spot inconsistencies or biases. You will run functional, regression and integration testing for AI systems, document test results, bugs and recommendations, ensure compliance with data-privacy and ethical-AI standards, and collaborate with developers, data scientists and product teams to improve model performance — including monitoring AI systems post-deployment.
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