Data and AI Research Intern.
Contribute to data analysis, knowledge organization and AI application testing while developing sound engineering and research habits. Examine where data comes from, whether findings can be reproduced and how a technical approach can support real business work.
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What you will do
- Organize authorized data and knowledge materials. Assist with data cleaning, quality checks and structured annotation.
- Participate in introductory knowledge retrieval and AI application experiments, recording configurations, samples, findings and reasons for failure.
- Help develop evaluation datasets, test cases and analytical charts so that others can review the conclusions.
- Read technical materials and prepare concise experiment notes and research records to support project discussions.
What you will bring
- Basic programming ability and proficiency in at least one relevant analytical tool, such as Python or SQL.
- An understanding of basic machine learning or large language model concepts, with a willingness to test ideas rather than rely on demonstrations.
- Careful documentation habits, a readiness to learn and the ability to collaborate.
- Ability to explain your available internship duration and weekly schedule, and to respect agreed boundaries for using project data and code.
Additional experience we value
- Course projects, data work or open-source experience that you can demonstrate.
- Exposure to retrieval-augmented generation, data visualization or model evaluation tools.
What you will develop.
Help prepare data quality records, evaluation datasets, experiment reports and application prototype documentation, gradually developing a reproducible and explainable approach to work.
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Data and AI Research Intern
Internships
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