Edtech.com's Summary

Carnegie Mellon University is hiring a Curriculum Developer - School of Computer Science - LTI to build the assignments, datasets, and software packages used in Computational Linguistics courses at the Language Technologies Institute. The courses serve doctoral students, professional master’s students, and undergraduates in the minor and concentrations. The developer also helps design experiments that test new educational methods and writes up the results as scholarly papers.

Highlights

Design and implement computational linguistics course projects, reviewing and updating the content of existing project-based courses.
Create and evaluate datasets and assignments at the crossroads of linguistics and computation, aligned with the learning management system used by all Computational Linguistics students.
Build and maintain course content in the LMS, including content pages, course configuration, course loading, and quality testing, using text, images, video, and activities.
Design and test the datasets that support project administration, and turn existing materials into new content and slides after checking them for relevance.
Give students and teaching assistants feedback and technical guidance on their computational linguistics projects.
Help design experiments that measure how well new educational methods work for large-scale learning, then analyze the results and draft scholarly papers.
Hold a bachelor’s degree in language technologies, computational linguistics, or linguistics, with a master’s degree preferred; comparable education and proven experience may be considered.
Bring five years of experience in a related position.
Show hands-on experience with multilingual NLP applications, curating linguistic datasets, and hybrid systems that combine symbolic reasoning and linguistic rules with machine learning.
Know the metrics used to evaluate NLP applications, whether from university coursework, seminars, workshops, or real-world work.

Curriculum Developer - School of Computer Science - LTI Full Description

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

Location

Pittsburgh, PA

Job Function

Eberly Center

Position Type

Staff – Fixed Term (Fixed Term)

Full Time/Part time

Part time

Pay Basis

Hourly

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

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Curriculum Developer - School of Computer Science - LTI

Edtech.com's Summary

Curriculum Developer - School of Computer Science - LTI Full Description

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