AI Research Facilitator

About the University of Georgia

College/Unit/Department website

Full/Part time

Open until filled

• Please provide name and contact information for three professional references
• This is a full-time, on-site position
• This position is not eligible for work authorization sponsorship

Bachelor’s degree in a related field or equivalent and 5 years of professional experience

• Applied or research experience supporting AI computational workflows in academic research environments.
• Familiarity with HPC job schedulers (e.g., Slurm), containerized computing environments, and data management workflows.
• Prior experience delivering research training, workshops, or consultation services.
• Master’s or Ph.D. in computer science, data science, or a research domain with significant AI experience.
• Four or more years of progressive experience implementing and supporting AI/ML workflows, including hands-on model development, data preparation, and optimization in research or industry settings.

• Demonstrated expertise using modern AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).
• Deep understanding of large language models (LLMs), including model architectures, training and fine-tuning approaches, inference pipelines, and responsible use in research contexts.
• Proficiency in Python, R, CUDA , or other languages common in AI research.
• Experience working with GPU -accelerated computing resources, preferably within an HPC environment.
• Experience preparing, managing, and curating datasets for machine learning workflows.
• Ability to translate faculty research goals into appropriate AI methods, models, and computational strategies.
• Working knowledge of ethical AI principles, bias mitigation, and reproducibility practices.
• Strong communication skills, including experience developing workshops, training materials, or documentation for varied audiences.
• Demonstrated ability to work effectively in collaborative, interdisciplinary research environments.

Is driving a responsibility of this position?

Is this a Position of Trust?

Does this position have operation, access, or control of financial resources?

Does this position require a P-Card?

Is having a P-Card an essential function of this position?

Does this position have direct interaction or care of children under the age of 18 or direct patient care?

Does this position have Security Access (e.g., public safety, IT security, personnel records, patient records, or access to chemicals and medications)

Credit and P-Card policy

• Provide hands-on consultation to faculty and graduate students integrating AI, machine learning, or data-intensive methods into their research workflows.
• Assist with data preparation, model development, training optimization, and performance tuning on GPU -accelerated systems.
• Offer tailored, high-engagement guidance to new AI-focused faculty as well as existing researchers expanding into AI-driven approaches.

Percentage of time

• Develop workshops, online training modules, and documentation to broaden AI skills and best practices across campus.
• Support interdisciplinary collaborations by connecting researchers with shared computational approaches.
• Engage departments adopting AI for the first time to ensure sustainable and responsible integration of AI tools into research and teaching.

Percentage of time

• Work closely with GACRC and EITS leadership, the Office of Research, the Institute for AI, and academic units to ensure services align with evolving research needs.
• Provide input to help guide institutional strategy for AI computing, workflows, and research support.

Percentage of time

• Stay current with emerging AI frameworks, workflows, tools, and best practices.
• Assess new technologies and their potential to improve research productivity or strengthen UGA’s AI research capabilities.

Percentage of time