AI Research Facilitator

University of Georgia; Athens (GA); On-site; USD 80,000 - 100,000; Full time

Job summary

The University of Georgia is seeking an AI Research Facilitator to support its growing needs in artificial intelligence and data-driven research. The successful candidate will play a key role in integrating AI methodologies into research workflows, assisting faculty and graduate students while developing workshops and ensuring alignment with institutional research needs.

The position requires a Bachelor's degree and 5 years of experience, with preference for candidates with advanced degrees and expertise in AI/ML frameworks.

Qualifications

• 5 years of professional experience in academic research environments.
• Experience implementing and supporting AI/ML workflows.
• Hands-on model development and data preparation experience.

Responsibilities

• Provide hands-on consultation for faculty integrating AI methods.
• Develop workshops and online training modules for AI skills.
• Work with institutional units for alignment with research needs.

Skills

Expertise in AI/ML frameworks (e.g., PyTorch, TensorFlow)

Proficiency in Python, R, CUDA

Knowledge of ethical AI principles

Communication skills in training and documentation

Education

Bachelor's degree in related field

Master's or Ph.D. in relevant field

Tools

HPC job schedulers (e.g., Slurm)

GPU-accelerated environments

Job description

Position Summary

The Georgia Advanced Computing Resource Center (GACRC), a division of Enterprise Information Technology Services at the University of Georgia, seeks to establish an AI Research Facilitator position to support the university's rapidly expanding needs in artificial intelligence and data‑driven research. The GACRC provides advanced computing and research storage services to more than 500 research groups, and recent multimillion‑dollar investments in GPU‑accelerated infrastructure have positioned UGA to support leading‑edge AI research across disciplines.

The AI Research Facilitator will play a central role in enabling faculty to effectively leverage AI methodologies, accelerating research impact across the institution.

Minimum Qualifications

• Bachelor's degree in a related field or equivalent and 5 years of professional experience.

Preferred Qualifications

• 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.

Responsibilities

AI Research Support and Consultation (40%)

• Provide hands‑on consultation to faculty and graduate students integrating AI, machine learning, or data‑intensive methods into 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.

Training, Outreach, and Community Building (30%)

• 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.

Coordination and Institutional Alignment (20%)

• 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.

Technology Monitoring and Evaluation (10%)

• 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.

Knowledge, Skills, Abilities, and Competencies

• 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.

Equal Opportunity Employment

The University of Georgia is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, genetic information, national origin, race, religion, sex, or veteran status or other protected status. Persons needing accommodations or assistance with the accessibility of materials related to this search are encouraged to contact Central HR ([e-mail]).