Curriculum Designer: Computational Linguistics & NLP

Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 28,000 - 41,000; Part time

Benefits offered by this job

Tuition benefits

Paid time off

Life and AD&D insurance

Bus pass (Pittsburgh Regional Transit)

Family Concierge Team

Fitness center access

Job summary

Carnegie Mellon University’s Language Technologies Institute seeks a part-time Curriculum Developer to design computational linguistics projects and maintain coursework. You’ll create datasets and materials used across PhD, professional masters, and undergrad programs, aligning with CMU’s LMS.

You’ll support students and TAs, and help test new teaching methods in large-class settings. Ideal candidates have 5+ years in related roles, experience with multilingual NLP and dataset curation, and

Qualifications

• Bachelor’s degree in language technologies (incl. MT), computational linguistics, or linguistics.
• Master’s degree preferred.
• Minimum 5 years in a related role.
• Experience with multilingual NLP applications and data curation.
• Knowledge of NLP evaluation metrics.

Responsibilities

• Design and implement educational computational linguistics projects and update course content.
• Create and evaluate datasets and assignments at the intersection of linguistics and computation.
• Develop, review and maintain course content including text, images, video, and activities.
• Provide support, feedback and guidance to students and teaching assistants.
• Participate in experiments to evaluate new educational methods for large-scale learning.

Skills

Multilingual NLP

Linguistic datasets curation

Hybrid symbolic + ML systems

NLP evaluation metrics

Educational content development

Education

Bachelor’s degree in language technologies / linguistics

Master’s degree preferred

Job description

Carnegie Mellon University’s Language Technologies Institute seeks a part-time Curriculum Developer to design computational linguistics projects and maintain coursework. You’ll create datasets and materials used across PhD, professional masters, and undergrad programs, aligning with CMU’s LMS.

You’ll support students and TAs, and help test new teaching methods in large-class settings. Ideal candidates have 5+ years in related roles, experience with multilingual NLP and dataset curation, and