AI Research Facilitator

The University of Georgia; Athens (GA); On-site; USD 80,000 - 110,000; Full time

Job summary

The University of Georgia is seeking an AI Research Facilitator to enhance AI and data-driven research capabilities. The ideal candidate will support faculty in integrating AI methodologies, providing hands-on consultations, and developing training programs.

The role demands strong expertise in AI frameworks and collaboration with various departments to align research goals with AI solutions. Experience in academic research environments is preferred.

Qualifications

• 5+ years of professional experience in a related field.
• Experience delivering research training, workshops, or consultations.
• Hands-on model development and optimization experience.

Responsibilities

• Provide consultation integrating AI into research workflows.
• Develop workshops and training materials for AI skills.
• Work with departments to ensure sustainable AI integration.

Skills

Expertise in modern AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn)

Proficiency in Python, R, CUDA

Experience with HPC job schedulers

Communication skills for workshops and training

Knowledge of ethical AI principles

Education

Bachelor’s degree in a related field

Master’s or Ph.D. in computer science, data science, or related field

Tools

Experience with GPU-accelerated computing resources

Job description

Position Summary

The Georgia Advanced Computing Resource Center (GACRC), a division of Enterprise Information Technology Services at the University of Georgia, seeks an AI Research Facilitator to support the university’s 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 five 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.

Knowledge, Skills, Abilities and/or 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.

Duties/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 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.

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.

Physical Demands

Normal office environment

Security Access

Yes

EEO Policy Statement

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 at [e-mail].