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• CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.

• CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.

• If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants.

 

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 seek to hire undergraduate or master’s students as part-time Research Assistants for the Spring 2025, Summer 2025, and Fall 2025 semesters. The successful candidates will assist in developing large language model (LLM) applications for social science research and data analysis.

Preferred qualifications include:

• Prior experience developing LLM applications (e.g., prompt engineering, fine-tuning, agent-based frameworks, or evaluation pipelines);
• Strong programming skills in Python;
• Familiarity with machine learning libraries or NLP tools (e.g., PyTorch, Transformers, LangChain) is a plus.

Hours, wages, and anticipated periods of employment will vary based on project needs and applicant availability. Applications will be reviewed on a rolling basis as the need arises.

 

BACKGROUND CHECKS/CLEARANCES

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

 

 

 

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The Pennsylvania State University 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.

 

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