Learning Engineering Intern

Carnegie Mellon University • Pittsburgh, PA

2d • Onsite

About The Position

The Learning Engineering Intern will work in the Cyber Mission Readiness Directorate within CERT, collaborating with learning engineers, software developers, and cybersecurity experts to develop training, exercises, and assessments that improve cyber mission readiness. The intern will assist the Operational Readiness and Evaluation team in applying learning science to the design, delivery, and evaluation of hands-on cybersecurity courses. Work includes connecting mission tasks to learning objectives, practice activities, and performance-based assessments, and using learner data to assess whether training produces observable skill. The intern will also evaluate and help improve AI-assisted curriculum development workflows, ensuring generated content is accurate, aligned to learning objectives, and reviewed by subject matter experts.

The internship begins in Fall 2026, with the option to continue through the Spring 2027 semester. It is a part-time, fully onsite position based in Carnegie Mellon University's Pittsburgh office. The role's core functions include learning experience and assessment design, learning analytics and xAPI/cmi5 instrumentation, AI-assisted curriculum development and quality review, and training effectiveness evaluation.

Requirements

• Be enrolled in a degree-granting program.
• Be willing to travel to various locations to support the SEI's mission, including within the SEI and CMU community.
• Be eligible to work in the United States without visa sponsorship and undergo a background check.
• Demonstrate critical thinking and problem-solving ability.
• Have familiarity with learning science principles such as active learning, deliberate practice, and feedback.
• Be able to write measurable learning objectives and align them with instruction and assessments.
• Have familiarity with a scripting language or data analysis tool, such as Python, R, or SQL.
• Be able to collaborate with professional engineers, instructional designers, and subject matter experts.
• Be willing to learn new technologies with cross-functional teams.
• Be organized and detail-oriented, with the ability to clearly document and communicate findings.

Nice To Haves

• Coursework or experience in instructional design, learning sciences, or human-computer interaction.
• Experience with learning management systems, xAPI, cmi5, or learning analytics.
• Experience using generative AI tools to create or evaluate educational content.
• Cybersecurity coursework or hands-on experience, such as capture-the-flag competitions.

Responsibilities

• Design and align learning objectives, practice activities, and performance-based assessments.
• Instrument learning experiences and analyze learner data using xAPI/cmi5 to evaluate training effectiveness.
• Evaluate and refine AI-assisted curriculum workflows and the content they produce.
• Document findings and present recommendations to instructors, developers, and stakeholders.
• Assist with the design, delivery, and evaluation of hands-on cybersecurity courses.
• Connect mission tasks to learning objectives, practice activities, and performance-based assessments.
• Review AI-generated curriculum content for accuracy and alignment with objectives, and ensure subject matter expert review.

Benefits

• Comprehensive medical, prescription, dental, and vision insurance for benefits-eligible employees.
• Retirement savings program with employer contributions.
• Tuition benefits.
• Paid time off and observed holidays.
• Life, accidental death, and disability insurance.
• Free Pittsburgh Regional Transit bus pass.
• Family Concierge Team to help navigate childcare needs.
• Fitness center access.

What This Job Offers

• Job Type: Part-time
• Career Level: Intern
• Education Level: No Education Listed