Machine Learning Educational Trainer

Where You Will Work:

Knowledge, Skills, and Abilities

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

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.

• 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.

• Advanced skill in developing and implementing education and professional development content for adult learners, including content related to emerging technologies such as AI and machine learning.
• Ability to use emerging technologies to create and facilitate in-person and distance learning materials informed by instructional design and/or cognitive science.
• Excellent interpersonal skills in multicultural and multidisciplinary settings.
• Excellent oral and written communication skills, including presentation skills for diverse audiences with varying levels and domains of technical expertise.
• Advanced knowledge of best practices for designing, coordinating, and delivering interactive workshops, training, and professional development for adult learners.
• Ability to thrive in an innovative, team-oriented environment, with strong organizational and prioritization skills and flexibility to accommodate changing demands.
• Advanced ability to curate, evaluate, and communicate relevant AI/ML learning resources for diverse audiences.
• Advanced knowledge of STEM programs, needs assessments, instructional strategies, learning sequences, and performance assessment. Experience evaluating training effectiveness and using feedback and data to improve programming.
• Ability to synthesize technical and scientific information and translate it into accessible training materials and communications.
• Skill in creating simple graphics and editing photos for instructional materials, or ability to work effectively with graphic designers to develop appropriate visuals.
• May serve as a subject matter expert, including reviewing the accuracy, educational merit, and accessibility of science and technology content and learning resources.

The University Corporation for Atmospheric Research (UCAR) is an equal opportunity/equal access/affirmative action employer that strives to develop and maintain a diverse workforce. UCAR is committed to providing equal opportunity for all employees and applicants for employment and does not discriminate on the basis of race, age, creed, color, religion, national origin or ancestry, sex, gender, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or pregnancy.

Whatever your intersection of identities, you are welcome at the University Corporation for Atmospheric Research (UCAR). We are committed to inclusivity and promoting an equitable environment that values and respects the uniqueness of all members of our organization.