Learning Engineering Intern
- Location
- Pittsburgh, PA
- Listed
- 9 days ago
About the role
What We Do: The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering, computer security, and process improvement. The SEI works closely with defense and government organizations, industry, and academia to continually improve software-intensive systems. Our core purpose is to help organizations improve software engineering capabilities and develop or acquire the right software, defect free, within budget and on time, every time.
Position Summary
You will work as a part of the Cyber Mission Readiness Directorate within CERT and will collaborate with a team of learning engineers, software developers, and cybersecurity experts focused on developing training, exercises, and assessments that improve cyber mission readiness.
You will assist members of the Operational Readiness and Evaluation team in applying learning science to the design, delivery, and evaluation of hands-on cybersecurity courses.
You will help connect mission tasks to learning objectives, practice activities, and performance-based assessments, and use learner data to measure whether training produces observable skill.
You will evaluate and help improve AI-assisted curriculum development workflows, ensuring that generated content is accurate, aligned to objectives, and reviewed by subject matter experts.
This internship begins in Fall 2026, with the option to continue through the Spring 2027 semester.
You will contribute to a variety of core functions including
- Learning experience and assessment design
- Learning analytics and xAPI/cmi5 instrumentation
- AI-assisted curriculum development and quality review
- Training effectiveness evaluation
Requirements
- Enrolled in a degree granting program.
- Willingness to travel to various locations to support the SEI's overall mission. This includes within the SEI and CMU community.
- You will be subject to a background check and must be eligible to work in the United States without Visa sponsorship.
Knowledge, Skills and Abilities
- Ability to critically think and problem solve
- Familiarity with learning science principles, such as active learning, deliberate practice, and feedback
- Ability to write measurable learning objectives and align them with instruction and assessments
- Familiarity with a scripting language or data analysis tool, such as Python, R, or SQL
- Ability to collaborate internally and externally with professional engineers, instructional designers, and subject matter experts
- Willingness to learn new technologies with cross-functional teams
- Must be organized, detail-oriented, and have the capacity to clearly document and communicate any findings
Desired Experience
- 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 (e.g., capture-the-flag competitions)
These experiences may also come from education-driven experiences or extracurriculars.
Job Function Breakdown
- Design and align learning objectives, practice activities, and performance-based assessments: 30%
- Instrument learning experiences and analyze learner data (xAPI/cmi5) to evaluate training effectiveness: 25%
- Evaluate and refine AI-assisted curriculum workflows and the content they produce: 25%
- Document findings and present recommendations to instructors, developers, and stakeholders: 20%
Total = 100%
- This is a part-time, fully onsite position based in our Pittsburgh office.
- Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
- Location
- Pittsburgh, PA
- Job Function
- Non-CMU Students
- Position Type
- Intern (Fixed Term)
- Full time/Part time
- Part time
- Pay Basis
- Hourly
More Information
- Please visit " Why Carnegie Mellon " to learn more about becoming part of an institution inspiring innovations that change the world.
- Click here to view a listing of employee benefits
- Statement of Assurance
From Cmu's careers page, first listed on Rolev.ai on October 31, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
Rolev.ai is a job search and application tool for US job seekers. For this Learning Engineering Intern role at Cmu, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.
See how you fit
Openings from employer career sites are ranked against your whole resume—and searchable inside Claude, ChatGPT, and Cursor via Rolev.ai MCP.
Tailor without inventing
Every change to your resume is checked against your original. New experience goes in only with your yes—zero fabricated claims.
Draft the full kit
Tailored and Full Match resumes, role-specific cover letters, and answers to employer screening questions are prepared in seconds.
1-Click Extension Autofill
The Chrome extension fills the employer's Greenhouse, Workday, Lever, or Ashby form in 1 click. You review it and press Submit.
Common questions
Where is the Learning Engineering Intern job at Cmu located?
This Learning Engineering Intern position at Cmu is located in Pittsburgh, PA. Always check Cmu's application page for specific state eligibility or relocation policies.
How do I apply for the Learning Engineering Intern position at Cmu?
This listing links directly to Cmu's Workday application page. You can apply directly on Cmu's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Workday application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.