Machine Learning Educational Trainer

University Corporation for Atmospheric Research•Boulder, CO

4d•Hybrid

About The Position

UCAR is seeking a Machine Learning Educational Trainer to join the EdEC team and work with the NSF NCAR AI Program. This role involves coordinating and conducting staff training in ML and AI, developing Earth system science-specific ML and AI training materials, and curating existing resources. The position supports the evaluation of training impact and contributes to reports on NSF NCAR's AI activities. The EdEC team leads NSF NCAR's education mission, focusing on engaging and training scientists and engineers for careers in fields like severe weather, space weather, AI, and ML. This is a two-year termed position.

Requirements

Master’s degree in a relevant discipline (e.g., education, instructional design, STEM, computer science, or related field) plus three years of relevant experience; or Bachelor’s degree plus eight years of relevant experience; or an equivalent combination of education and experience.

Nice To Haves

Strong written and oral communication, editing, proofreading, and professional etiquette, combined with collaborative teamwork across diverse backgrounds and the ability to work independently.
Advanced organizational skills, multi-tasking abilities, and a demonstrated capacity for initiative and independent problem-solving.
Advanced skills in standard PC applications (Microsoft Word, Excel, PowerPoint, Access), Google Apps, databases, and network computing environments.
A thorough understanding of policies, procedures, and practices, with the ability to reliably handle confidential information and assess unique situations appropriately.
Advanced knowledge of travel logistics, planning, and related administrative procedures.

Responsibilities

Creates, designs, and delivers interactive professional development and training on AI and ML, with a strong emphasis on Earth system science applications and the needs of NSF NCAR staff.
Develops, adapts, and curates accessible instructional materials, examples, and resources for learners with varied levels of AI/ML expertise and diverse range of scientific domains.
Incorporates emerging tools, technologies, and best practices into training.
Evaluates training effectiveness through participant feedback, participation data, and other measures, and uses findings to continuously improve programming and demonstrate impact.
Develops and coordinates technical training activities in support of the NSF NCAR AI Program.
Works across teams and with subject-matter experts to identify technical training needs and priorities, coordinates instructors and contributors, and organizes AI/ML learning opportunities for scientific applications.
Supports integration of AI/ML staff training with broader NSF NCAR workforce development and community-building activities.
Helps plan and manage boot camps, hackathons, workshops, seminars, and other AI/ML events, including logistics, communications, scheduling, and participant engagement.
Represents NCAR EdEC in NSF NCAR AI Program activities, working groups, events, and community engagements related to AI/ML workforce development.
Builds connections among researchers, technical experts, educators, and professional development staff to support the adoption of AI capabilities and foster a collaborative community of practice across NSF NCAR.
Writes and contributes to reports, presentations, articles, and other communications documenting NSF NCAR’s AI/ML training and workforce development activities.
Synthesizes participation, evaluation, and impact data to communicate outcomes and lessons learned.
Develops materials that highlight successful approaches, resources, and opportunities for the broader NSF NCAR and Earth system science communities.