Instructor (Engineering)

Western Governors University; Salt Lake City (UT); Remote; USD 74,000 - 110,000; Full time

Benefits offered by this job

Bonuses available

Medical, dental, vision

Tuition discount

Flexible paid time off

Parental leave

Job summary

WGU is seeking an AI/ML education professional to develop instructional materials and deliver engaging online events. You will coach adult learners in a virtual setting and foster active participation in courses and domains.

The role emphasizes data-driven approaches, equity, and continuous learning to support student success across online degree programs.

Qualifications

• Master’s degree in an AI- or machine learning-related field (such as Computer Science or Software Engineering)
• 3 years of relevant professional experience, including 1 year of teaching online
• Demonstrated subject matter expert in assigned content or practice area(s). AI- or machine learning-related field (such as Computer Science or Software Engineering)

Responsibilities

• Develops instructional materials aligned with learning objectives, course competencies, and interventions.
• Provides effective, relevant, and engaging one-to-many virtual events.
• Continually develops knowledge and expertise through faculty learning communities and training.
• Provides proactive, relevant one-to-one virtual instruction to students in a course or domain.
• Facilitates student communities to support peer collaboration and student development.
• Delivers student coaching to help students achieve personal, academic, and career goals.

Skills

Subject-matter expertise

Online teaching

Adult learning principles

Data-driven coaching

Student engagement

Education

Master’s degree in AI or ML-related field

3 years professional experience incl online teaching

Subject matter expert in assigned content

Job description

If you’re passionate about building a better future for individuals, communities, and our country—and you’re committed to working hard to play your part in building that future—consider WGU as the next step in your career.

Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.

Pay Range: $73,500.00 - $110,200.00

Job Duties

• Develops instructional materials, aligned with identified learning objectives, course competencies, and instructional interventions, to support both student self-service use and use in virtual one-to-many events.
• Provides effective, relevant, and engaging one-to-many virtual events aligned with identified learning objectives.
• Continually develops knowledge, skills, and expertise through active participation in faculty learning community and other developmental opportunities.
• Provides proactive, relevant, timely, and effective one-to-one virtual instruction to students in a specific course or domain.
• Facilitates student communities to support peer collaboration, effective faculty interaction, and student development.
• Student-centered and provides effective one-to-one virtual coaching to help students achieve personal, academic, and career goals.
• Adapts instructional and coaching practices to common and typical student needs.
• Performs other job-related duties as assigned.

KSAs

• Subject-matter expertise in the assigned content and skills of the course(s)/domain(s)
• Strong knowledge of how student characteristics interact with different learning needs common to the course(s)/domain(s)
• Strong communication skills with the ability to moderate online student communities to encourage engagement and learning.
• Ability to use information from student profiles, learning behaviors, and interactions to identify individual student needs.
• Demonstrates respect for and value of diverse perspectives and experiences.
• Ability to adapt standard resources, templates, and instructional plans for the needs of individual students or groups of students.
• Ability to apply adult learning principles and instructional skills to build student competency in a virtual one-to-one setting.
• Provide encouragement for student self-reflection and metacognition to improve competency in learning objectives.
• Flexibility to adjust instructional approach depending on individual student needs and preference.
• Skilled at using data to identify students in need of proactive support, with the ability to select appropriate tone and content for proactive outreach.
• Ability to adapt the timing, modality, and frequency of outreach/contact to individual student needs and preferences.
• Strong active listening skills and emotional intelligence with the ability to build relationships with adult students.
• Solid understanding of coaching strategies to support personal, academic, and professional development in adult students.
• Willingness to engage in regular self-reflection and re-evaluation of beliefs, perspectives, and approaches to improve equity.
• Proficient in developing presentation materials that align to specified objectives and are visually engaging, understandable, and accessible.
• Ability to develop learning facilitation experiences and effective, formative self-assessment activities aligned with specific objectives to advance student learning.
• Skilled at implementing relationship-building activities for online student communities.
• Ability to facilitate synchronous student interaction in a virtual environment.

Minimum Qualifications

• Master’s degree in an AI- or machine learning-related field (such as Computer Science or Software Engineering)
• 3 years of relevant professional experience, including 1 year of teaching online
• Demonstrated subject matter expert in assigned content or practice area(s). AI- or machine learning-related field (such as Computer Science or Software Engineering)

Preferred Qualifications

• Experience with distance education and distance learning students is preferred.
• PhD in Electrical or Computer Engineering; 2 - 3 years' experience teaching or in an engineering position.

Job Description Disclaimer: This position description provides the major duties/responsibilities, requirements, and working conditions for the position. It is intended to be an accurate reflection of the current position; however, management reserves the right to revise or change as necessary to meet organizational needs. Other responsibilities may be assigned when circumstances require.

This position requires occasional travel of up to 20%, including required attendance at designated company summits (typically one to two per year). Additional travel may include conferences, visits to company locations, and other business-related events as needed. Additional travel may be assigned as needed to support business requirements.

Additional Information

Full-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time, regular position (classified for 40 standard weekly hours) that is eligible for bonuses; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave.

• Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive.
• Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at [e-mail].
• Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.