ICL_Vision-Language Model Development Intern (W100)

This internship is in ITRI's Information and Communications Research Laboratories(ICL).

Intern will work on the following topics / tasks

Data Collection and Integration: Assist in collecting and integrating visual-language model (VLM) training data, including images, text, and corresponding descriptions, ensuring data diversity and quality.

Data Cleaning and Processing: Clean and format collected data to meet training requirements and ensure consistency.

Data Annotation: Perform semantic annotation of images and text according to established guidelines, supporting the accuracy of cross-modal learning.

Data Verification: Check the accuracy of annotated data, assist in identifying and correcting potential errors, and improve data quality.

Model Training Support: Assist in running and testing pre-trained VLM models, provide feedback based on the data characteristics, and contribute to model optimization.

Qualifications

• Current undergraduate or graduate student, preferably in Computer Science, Artificial Intelligence, or related fields.
• Proficiency in Python programming.
• Basic understanding of the data annotation process. Prior experience in image or text annotation is a plus, with the ability to follow annotation guidelines and ensure accuracy.
• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus.