Reference #: 2021545 The Dietrich College is seeking an entry-level research support focusing on AI and LLM technologies for educational tools, suitable for individuals beginning their academic and professional journey in technology and education. This position will contribute to foundational research efforts that explore the potential of AI and LLM in education, gaining valuable experience and knowledge in a cutting-edge field from the ground up.

Core responsibilities include: Assist in basic research tasks under the mentorship of senior researchers, including data collection and preliminary analysis related to AI/LLM technologies in education. Conduct simple literature reviews to support ongoing projects, compiling summaries and key findings with supervision. Help in coordinating, organizing and maintaining research documentation, such as data files, references, and progress reports. Participate in team meetings and discussions, taking notes and learning from the research process and outcomes. Support the research team with administrative tasks related to project management and execution as needed. Begin to learn and apply basic programming and data analysis concepts with mentorship from team members.

Flexibility, excellence, and passion are vital qualities within the Dietrich College. Inclusion, collaboration and cultural sensitivity are valued competencies at CMU. Therefore, we are in search of a team member who is able to effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.

You should demonstrate: Strong organizational skills and the ability to follow instructions and work in a team environment. Curiosity and a proactive attitude toward learning and contributing to research projects. Good communication skills, comfortable with asking questions and sharing ideas.

Qualifications: Currently enrolled in a high school or early college program with an interest in Computer Science, Education, AI, or related fields. A keen interest in technology and education, with a willingness to learn about AI/LLM applications. Basic computer skills and eagerness to learn programming languages and data analysis tools relevant to research.

Additional Information: Schedule: This is a full-time position, expected to work 37.5 hours per week. Fixed-Term: This is a fixed term position, expected to last through August 2024.

Joining the CMU team opens the door to an array of exceptional benefits available to eligible employees. Those employees who are  have the opportunity to experience the full spectrum of advantages from  to an enticing  offering a generous employer contribution. You can also unlock your potential with  and take well-deserved breaks with ample  and observed . Finally, rest easy knowing you are covered by life and accidental death and disability insurance. Other perks include a free Pittsburgh Regional Transit bus pass, our  to help navigate childcare needs, , and so much more! For a comprehensive overview of the benefits that may beawaiting you, explore our . At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond just credentials, we consider the role and responsibilities, your invaluable work experience, and the knowledge gained through education and training. We acknowledge and appreciate your unique skills and the diverse perspective you bring. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

LocationPittsburgh, PA Job FunctionNon-CMU Students Position TypeIntern (Fixed Term) Full Time/Part timeFull time Pay BasisHourly More Information:

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Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.

Carnegie Mellon University considers applicants for employment without regard to, and does not discriminate on the basis of, gender, race, protected veteran status, disability, or any other legally protected status.