EdTech Jobs
Carnegie Mellon University

Curriculum Developer - School of Computer Science - LTI

Carnegie Mellon University
🇺🇸In-Person - Pittsburgh, PA$55K–$75K/yri18h ago
Prep for this Role

Role Snapshot

CMU's Language Technologies Institute is seeking a Curriculum Developer to create and maintain assignments, datasets, and software packages used in computational linguistics courses across its PhD, professional master's, and undergraduate programs. The role directly shapes how students learn natural language processing and related topics.

Key Responsibilities: Design, test, and update computational linguistics course projects, datasets, and LMS content (text, images, video, activities), support students and teaching assistants, and help run learning-methods experiments with data analysis and scholarly writing.
Skills & Tools: Strong understanding of computational linguistics and programming, instructional design and LMS familiarity, dataset creation and quality testing, clear communication, and the ability to work with diverse internal and external partners with integrity.
Qualifications: Specific education and experience requirements are not listed in the provided text; the role likely calls for a relevant degree (such as in computational linguistics, computer science, or linguistics) and experience developing educational technical content.
Location: In-Person - Pittsburgh, PA
Compensation: $55K–$75K/yr (estimated)

Job Description

Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here! The Language Technologies Institute (LTI) at Carnegie Mellon University is a world-renowned research and education hub at the forefront of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding, processing, and generating human language in both written and spoken forms. LTI is seeking a Curriculum Developer to join the team! This role will be responsible for developing and maintaining a set of detailed assignments, datasets, and software packages that are used in Computational Linguistics courses at LTI, including courses for students in the LTI’s Ph.D. program, professional master’s programs, and undergraduate minor and concentrations. Core Responsibilities Designing and implementing educational computational linguistics projects including reviewing, maintaining, and updating course content and project-based courses that utilize effective and efficient learning methodologies

  • Creating and evaluating datasets and assignments at the crossroads of linguistics and computation to meet specific educational needs in alignment with CMU’s Learning Management System (LMS), used by all Computational Linguistics students
  • Designing and testing datasets to support the administration of projects to students, including performing content development (i.e., content and slide creation from existing materials) and reviewing materials for relevance Developing, reviewing, and maintaining course content (i.e., content page creation, course configuration, course loading, and quality testing and review) in the form of text, images, video, and activities for various topics in computational linguistics Providing support, feedback, and technical guidance to students and teaching assistants working on computational linguistics projects
  • Participating in the design of experiments to evaluate the effectiveness of new educational methods for large-scale learning Collecting and analyzing data from these experiments as well as drafting scholarly papers describing the research methods, experiments, and results. Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can 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.

Qualifications: Bachelor’s degree in language technologies (including machine translation), computational linguistics, or linguistics required. Master’s degree preferred. Minimum 5 years of experience in a related position.

Must have experience in each of the following: multilingual Natural Language Processing applications, curation of linguistic datasets, hybrid systems using symbolic reasoning, linguistic data, and rules along with machine learning. Must also have knowledge of (through any completed university-level coursework, seminars, workshops, or real-world, hands-on experience) metrics for evaluating NLP applications. A combination of education and proven experience from which comparable knowledge is demonstrated may be considered.

Requirements: Successful completion of a pre-employment background check Joining the CMU team opens the door to an array of exceptional benefits. Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance. Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more! For a comprehensive overview of the benefits available, explore our Benefits page. At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the 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! Location Pittsburgh, PA Job Function Eberly Center Position Type Staff – Fixed Term (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 Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. Statement of Assurance Interested in a career with Carnegie Mellon University but not finding anything that currently aligns with your interests, background, or experience? Learn how to sign up for Job Alerts through your candidate profile. If your heart is in your work, come work with us. Carnegie Mellon University isn’t just one of the world’s most renowned educational institutions – it’s also a hotspot for some of the most talented doers, dreamers, and difference-makers on the planet. When you join our staff, you’ll become an important part of our mission to create a healthier, safer, and more just life for all. No matter what your role or location, you’ll connect and collaborate with dedicated, passionate colleagues – and you’ll have the satisfaction of delivering work that truly matters. We cultivate a vibrant, welcoming environment where everyone is valued and encouraged to contribute and achieve. In addition to competitive benefits and a robust support network, you’ll have access to many tools and resources to sharpen your abilities and professional skills, as well as opportunities to engage and share perspectives with a dynamic and inspiring community of uniquely talented staff, faculty, students, and alumni. The future is awaiting your expertise and intellect. Come join the architects of what’s next. Apply now. Learn more about Student Employment. Please see Faculty Careers. For technical assistance, email HR Services or call 412-268-4600. We are committed to providing an accessible experience throughout our recruitment process. If you need assistance or a reasonable accommodation at any stage of the application, interview, or hiring process, please contact Equal Opportunity Services by email at employeeaccess@andrew.cmu.edu or by phone at 412-268-5072. Prospective Employee Disclosures

View Full Job Posting on Carnegie Mellon University