Student Assistant for Developer Role - Consortium on Trust in Media and Technology

The Consortium on Trust in Media and Technology (CTMT) in the College of Journalism and Communications is seeking a motivated Computer Science student to join our team as a student developer. The project explores how language affects public perception and trust in journalism. This position focuses on maintaining and supporting a language analysis platform that uses natural language processing (NLP) and large language models (LLMs) to evaluate framing, tone, and potential bias in written content. The tool is currently in an active testing phase, including pilot use in newsroom environments. This position focuses on maintaining and supporting the backend of the platform while contributing to ongoing improvements during real-world testing. The ideal candidate will have strong programming skills and an interest in AI and NLP., * Maintain and troubleshoot the backend of a language analysis platform, ensuring stable performance during pilot testing in newsroom environments

• Implement updates, fixes, and optimizations to improve system reliability and efficiency
• Support API functionality and assist with integrating frontend and backend components
• Collaborate with project stakeholders to gather feedback and address technical issues
• Provide technical support for AI/NLP components, including Python-based workflows and model integration
• Document technical processes, updates, and system changes for continuity and future development

If an accommodation due to a disability is needed to apply for this position, please call (352) 392-4621 or the Florida Relay System at (800) 955-8771 (TDD). For additional questions or more information, please contact search panel chair Janet Coats at . The University of Florida is an Equal Opportunity Employer. Florida's Government-in-the-Sunshine Laws require that all documents relating to the search process, including letters of application, nomination, and reference, be available for public inspection. Expected Salary: $16.00 per hour

*High School Diploma

• Proven proficiency in Python, especially with libraries and frameworks relevant to NLP and sentiment analysis (SpaCy, PyTorch, etc.)

• Currently enrolled Computer Science student eligible for on-campus employment through student Other Personnel Services (OPS) with a minimum 2.5 GPA.

• Available to work part-time, up to 20 hours per week, during the Summer term., *High School Diploma

• Proven proficiency in Python, especially with libraries and frameworks relevant to NLP and sentiment analysis (SpaCy, PyTorch, etc.)

• Currently enrolled Computer Science student eligible for on-campus employment through student Other Personnel Services (OPS) with a minimum 2.5 GPA.

• Available to work part-time, up to 20 hours per week, during the Summer term. Preferred:

• Experience working with or strong familiarity with large language models (LLMs) and NLP workflows

• Experience with backend development and APIs (Flask, FastAPI, or similar frameworks)

• Interest in linguistics or computational linguistics a plus

• Ability to diagnose and resolve technical issues efficiently

• Strong communication skills and ability to work both independently and collaboratively

• Detail-oriented with strong organizational and time management skills