Undergraduate Student Research Assistant - AI & Data Science - Student Service

Purdue University; West Lafayette (IN); Remote; USD 30,000 - 50,000; Full time

Job summary

An innovative educational institution is looking for a motivated undergraduate student to join an exciting research grant focused on AI and data science. This remote, temporary position offers a unique opportunity to work with cutting-edge technologies, including large language models. You will be involved in model development, tool prototyping, and research coordination, gaining invaluable hands-on experience while contributing to meaningful projects. This role not only enhances your technical skills but also allows you to network with professionals in the field, making it an excellent stepping stone for your future career.

Qualifications

• Undergraduate student majoring in Computer Science or related field.
• Strong programming skills in Python and familiarity with AI/ML frameworks.

Responsibilities

• Support AI and data science projects with large language models.
• Assist with literature reviews, tool development, and documentation.

Skills

Python

AI/ML frameworks

Technical documentation

Data analysis

Education

Undergraduate in Computer Science

Tools

scikit-learn

HuggingFace

LangChain

PyTorch

GitHub

Notion

Google Docs

Job description

Job Summary

We are seeking a motivated and detail-oriented undergraduate student majoring in Computer Science to support an innovation-focused research grant centered around AI, data science, and large language models (LLMs). This is a remote, temporary position running from now through the first week of August 2025. The student will assist with model development, tool prototyping, documentation, and research coordination as part of a dynamic grant team.

Key Responsibilities:

1. Support AI and data science projects, including working with large language models (LLMs).
2. Assist with literature reviews, tool development, and technical documentation.
3. Help process, analyze, and visualize datasets relevant to the grant.
4. Contribute to internal reporting and deliverables for the funded project.
5. Participate in regular remote check-ins and collaborative team meetings.

Required Qualifications:

• Undergraduate student majoring in Computer Science or a closely related field
• Strong programming skills in Python
• Familiarity with AI/ML frameworks or libraries (e.g., scikit-learn, HuggingFace, LangChain, PyTorch, etc.)
• Comfortable working with structured and unstructured data
• Ability to write clear and concise technical documentation
• Self-starter who is reliable, organized, and able to work independently

Preferred Qualifications:

• Experience with large language models or NLP-related coursework/projects
• Familiarity with collaborative tools (e.g., GitHub, Notion, Google Docs)

Learning Outcomes:

• Gain hands-on experience with AI and LLM-based research
• Develop real-world project experience with grant-funded innovation work
• Strengthen technical, communication, and problem-solving skills
• Contribute to meaningful work that may be featured in presentations or publications
• Network with researchers and professionals working on cutting-edge AI initiatives

Education

Undergraduate students enrolled in a relevant program.

Experience

Experience is not mandatory but preferred in related coursework or projects.

FLSA Status

Non-Exempt