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, PAJob Function
Eberly CenterPosition Type
Staff – Fixed Term (Fixed Term)Full Time/Part time
Part timePay Basis
HourlyMore 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
Skills Required
- Bachelor's degree in language technologies, computational linguistics, or linguistics
- Master's degree
- At least 5 years of experience in a related position
- Experience with multilingual Natural Language Processing applications
- Experience curating linguistic datasets
- Experience with hybrid systems using symbolic reasoning, linguistic data, rules, and machine learning
- Knowledge of metrics for evaluating NLP applications
- Successful completion of a pre-employment background check
Carnegie Mellon University Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Carnegie Mellon University and has not been reviewed or approved by Carnegie Mellon University.
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Retirement Support — Retirement support is positioned as a standout, with automatic employer contributions to a TIAA-administered plan at 8% of base salary (and 9.78% for 9‑month academic appointments), plus optional employee deferrals. Vesting after three years is clearly specified, which helps set expectations for long-term value.
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Parental & Family Support — Parental and family support is strengthened by 100% paid parental leave for six weeks and 100% paid maternity leave for 6–8 weeks (delivery-type dependent), effective July 1, 2024. Childcare support is also referenced through a Cyert Center subsidy up to $5,000 per family, alongside no-cost EAP access.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle benefits include free Pittsburgh Regional Transit access and access to fitness classes and facilities, adding recurring non-cash value to the overall package. Pittsburgh’s relatively affordable cost of living can further increase the perceived adequacy of a given salary compared with higher-cost coastal hubs.
Carnegie Mellon University Insights
What We Do
Carnegie Mellon University founder Andrew Carnegie said: "My heart is in the work." No statement better captures the passion and drive of our people to make a real difference. At Carnegie Mellon, we're not afraid of the work. Our educational environment creates problem solvers, drivers of innovation and pioneers in technology and the arts. Employers in every field say our graduates are ready to hit the ground running the day they graduate. So, join us. Whether you're looking for a career or an education. Or both.
