Research Assistant Intern - Large Language Models and AI for Data Analysis

The Pennsylvania State University; University Park (TX); Hybrid; USD 28,000 - 41,000; Part time

Job summary

The Pennsylvania State University in Pennsylvania is seeking master's students in Computer Science or related fields for part-time Research Assistant positions for Spring 2027. Exceptionally qualified undergraduates may also be considered.

The role focuses on LLMs, AI agents, and their applications in data analysis and scientific research. Responsibilities include developing and evaluating LLM-based methods, implementing computational experiments, building research software, and analyzing

Qualifications

• Strong Python programming skills and software development experience.
• Experience with ML/DL/LLM applications, including evaluation and fine-tuning.
• Familiarity with PyTorch, Hugging Face Transformers, LangChain, or similar tools.
• Experience with research projects, internships, or independent technical projects.
• Ability to write well-documented, reproducible code.

Responsibilities

• Develop and evaluate LLM-based methods for data analysis and scientific research.
• Implement computational experiments and build research software.
• Analyze experimental results and document findings.

Skills

Python programming

ML/DL/LLM experience

Model evaluation

Independent work

Reproducible code

Education

Master's student in Computer Science

Undergraduate considered

Tools

PyTorch

Hugging Face Transformers

LangChain

Job description

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.

JOB DESCRIPTION AND POSITION REQUIREMENTS

The Department of Statistics at Penn State seeks to hire master's students in Computer Science or related fields as part-time Research Assistants for Spring 2027. Exceptionally qualified undergraduate students will also be considered.

Successful candidates will work on research projects involving large language models (LLMs), AI agents, and their applications in data analysis and scientific research. Responsibilities may include developing and evaluating LLM-based methods, implementing computational experiments, building research software, and analyzing experimental results.

Preferred qualifications include:

• Strong Python programming skills and demonstrated experience developing software or computational projects;
• Experience with machine learning, deep learning, or LLM applications, including model evaluation, fine-tuning, or agent-based systems;
• Familiarity with relevant libraries and frameworks (e.g., PyTorch, Hugging Face Transformers, LangChain, or similar tools);
• Experience with research projects, software development internships, or independent technical projects;
• Ability to work independently, troubleshoot technical problems, and write well-documented, reproducible code.

Prior research experience is desirable but not required. Candidates with strong technical skills and an interest in conducting research are encouraged to apply.

Hours, wages, and anticipated periods of employment will vary based on project needs and applicant availability. Applications will be reviewed on a rolling basis. For full consideration, please apply by Nov. 20, 2026.

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.

CAMPUS SECURITY CRIME STATISTICS

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

EEO IS THE LAW

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university’s teaching, research, and service mission.