Manager, AI Learning Studio

Details

Posted: 27-Mar-24

Location: Stanford, California

Type: Full-time

Salary: Open

Categories:

Staff/Administrative

Internal Number: 102661

The Stanford Accelerator for Learning (SAL) seeks a full-time Studio Manager to oversee operations and programming of our new AI maker space (tentatively known as the AI Learning Studio). In collaboration with faculty and students, the Studio Manager will be responsible for creating and sustaining an AI learning program in which individuals from all levels of experience can explore approaches to learning that leverage new AI tools. This person will collaborate well with students and faculty as well as technical staff in a fast-paced, project-based environment. If you enjoy engaging with and supporting a diverse community of learners, we want to hear from you!

Note: This is a 1-year fixed term position that may be renewed subject to funding and operational need. This position is based on Stanford's main campus and will be eligible for a hybrid work arrangement (minimum 3 days in the office per week). Interested applicants should include a resume and cover letter describing why they are interested in this position at this stage in their career.

ABOUT US

Housed at Stanford Graduate School of Education , the Stanford Accelerator for Learning is the first university-wide initiative connecting scholars across disciplines and with external partners to bridge research, innovation, practice, and policy, and bring quality scalable and equitable learning experiences to all learners, throughout the lifespan. The Stanford Accelerator for Learning focuses on learning challenges most in need of new discoveries, evidence, and solutions and where we believe Stanford can make the most difference. Those include adult & workforce learning, digital learning, early childhood education and development, equity in learning, learning differences, and policy & systems change.

The AI Learning Studio is hosted by the GSE Makery , which provides equipment and support for the Graduate School of Education community to improve lives through hands-on learning. The unique focus of the GSE Makery is captured in our motto, "Learn to make. Make to learn." The new AI Learning Studio will extend the opportunities for making into the realm of AI tools, providing opportunities to research, design, tinker, build, craft, and create.

POSITION SUMMARY

Reporting to the Director of the GSE Makery, the Studio Manager will manage the day-to-day operations, programs, and student staffing of the AI Learning Studio. This includes computer maintenance, scheduling, and outreach communication. The Studio Manager will also lead workshops and provide training to students and faculty on various AI-based tools and technologies. Our ideal candidate is highly organized, adaptable, and resourceful. They will also enjoy working with, guiding, and interacting with students and the broader campus community.

Primary responsibilities include:

Dissemination : Actively encourage and support the use of AI-based tools by developing and implementing new resources for instructors or students, assisting them with the tools, disseminating knowledge of these tools, and creating and supporting an infrastructure that allows use of the tools in learning.

• Develop and lead dissemination of resources, seminars, courses, or workshops about uses of AI technologies in educational contexts.

• Assess training needs; develop and deliver workshops and innovative, user-friendly documentation.

• Consult on educational technology needs for instructors and/or students and provide or coordinate solutions.

• Engage in initiatives to encourage faculty and/or students to adopt the use of appropriate AI technologies in their teaching, learning, co-curricular activities, or research.

• Provide assistance in the direct integration of AI tools into course curricula, extra-curricular or co-curricular learning, and/or research projects.

• Staff advisory group meetings (schedule, invite, agenda, etc.).

• Ability to coordinate and manage multiple projects in a complex and technical environment.

• Demonstrated supervisory experience.

Physical and Digital Spaces: Oversee the operations and management of this evo lving learning space.

• Together with the GSE Makery team, create and implement a vision for the AI Learning Studio experience.

• Recommend software, hardware, and multimedia equipment.

• Maintain the AI Learning Studio calendar. Respond to inquiries about space usage and capabilities within and beyond SAL.

• Manage a team of student helpers.

• Maintain the AI Learning Studio web site. Update marketing/branding as needed.

• Develop relationships with service providers throughout the university to advocate needs and obtain resources for faculty and students.

• Track attendance and usage data. Generate quarterly usage and budget reports.

Expertise:

• Stay informed about educational technology developments through lists, publications, and conferences.

• Provide outreach and advocacy within or across departments for effective and ethical uses of AI tools in educational settings.

• Assist with coordination of academic learning technology policies, procedures, and support.

• Participate in or lead projects to develop innovative uses of technology for research, student learning, and/or community building.

To be successful in this position, you will bring:

• Bachelor's degree plus four years of relevant experience, or combination of education and relevant experience.

• Ability to interact effectively and tactfully with members of the academic community; demonstrated experience working in an environment with colleagues of diverse backgrounds and customs.

• Ability to plan, design, develop and evaluate engaging multimedia learning/training objects.

• Demonstrated expertise with instructional design methodologies, pedagogical issues and best practices for classroom, online and hybrid learning.

• Experience with delivering applications in a networked environment.

• Excellent time management and project management skills. Demonstrated ability to manage a complex workload, prioritize tasks and use good judgment in providing services based on goal.

• Demonstrated experience developing and delivering technical training to a non-technical audience.

• Expert knowledge of learning management systems and various classroom and online learning technologies.

In addition, preferred qualifications include:

• Master's degree in relevant area of study (learning sciences, education, computer science) preferred.

• Previous experience teaching is a plus.

The expected pay range for this position is $75,000 - $103,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.

At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( https://cardinalatwork.stanford.edu/benefits-rewards ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.

Why Stanford is for You

Stanford's dedicated 16,000+ staff, who come from diverse educational and career backgrounds. We are a collaborative environment that thrives on innovation and continuous improvement. At Stanford, we seek talent committed to excellence, driven to impact the future of our legacy, and improve lives on a global scale. We provide market competitive salaries, excellent health care and retirement plans, and a generous vacation policy, including additional time off during our winter closure. Our unique perks align with what matters to you:

Freedom to grow. As one of the greatest intellectual hubs in the world, take advantage of development programs, tuition reimbursement plus $800 you receive annually towards skill-building classes, or audit a Stanford course. Join a TedTalk, film screening, or listen to a renowned author or leader discuss global issues.

A caring culture. We understand the importance of your personal and family time and provide you with access to wellness programs, child-care resources, parent education and consultation, elder care and caregiving support.

A healthier you. We make wellness a priority by providing access to world-class exercise facilities. Climb our rock wall, or participate in one of hundreds of health or fitness classes.

Discovery and fun. Stroll through historic sculptures, trails, and museums. Create an avatar and participate in virtual reality adventures or join one with fellow staff on Stanford vacations!

Enviable resources. We offer free commuter programs and ridesharing incentives. Enjoy discounts for computing, cell phones, outdoor recreation, travel, entertainment, and more.

We pride ourselves in being a culture that encourages and empowers you.

The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

Successful candidates will be required to complete a background check prior to working at Stanford University.
Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at [email protected] . For all other inquiries, please submit a contact form .
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

Additional Information

• Schedule: Full-time
• Job Code: 4722
• Employee Status: Fixed-Term
• Grade: I
• Requisition ID: 102661
• Work Arrangement : Hybrid Eligible