Graduate Teaching Assistant (GTA): Overview of NLP and Large Language Models Course

University of British Columbia; Vancouver; On-site; CAD 30,000 - 60,000; Part time

Job summary

A leading Canadian educational institution is seeking a Graduate Teaching Assistant (GTA) for their NLP and Large Language Models Course. The role involves supporting course administration and responding to student inquiries while possessing advanced knowledge of natural language processing and data science. Ideal candidates are enrolled in graduate programs related to data science or health sciences. The position offers competitive pay and an opportunity to work in a diverse academic environment.

Responsibilities

• Work with the Course instructor to ensure course content is up to date.
• Respond to student’s questions in weekly discussions.
• Mark submitted assignments according to provided rubrics.
• Attend weekly office hours as needed.
• Fix and/or document any mistakes or issues in course content.

Skills

Advanced knowledge of natural language processing

Data science

Statistics

Machine learning

Excellent written and verbal communication skills

Ability to work independently and collaboratively

Familiarity with Canvas

Familiarity with Jupyter notebook

Education

Enrolled in a graduate program related to data science or health sciences

Job description

Job Title: Graduate Teaching Assistant (GTA): Overview of NLP and Large Language Models Course

Department: Research and Experimental Medicine Support | Department of Medicine | Faculty of Medicine

Compensation Range: $38.65 - $38.65 CAD Hourly

Posting End Date: January 18, 2026 – Applications accepted until 11:59 PM

Job End Date: April 27, 2026

Hours per week: 5-7 hours

Anticipated Start Date: February 23, 2026

End Date: April 27, 2026

Supervisor: Dr. Anita Palepu, Head, Department of Medicine and Co‑lead for Data Science and Health Research Excellence Cluster

Project Overview

The NLP Graduate Teaching Assistant will support the course coordination and administration of the UBC Extended Learning Micro‑certificate Program: Natural Language Processing to Improve Patient Care, a part‑time, 100% online program designed for health professionals to learn foundations in data analytics and artificial intelligence in a health context. The program consists of 3 courses, each 5 weeks in duration. Each course is offered three times through the calendar year. We anticipate each course cohort to be up to 25 students.

The courses are:

• Overview of NLP and Large Language Models
• Extraction and Analysis of Clinical Documents
• Analysis of User Generated Content

A Graduate Teaching Assistant (GTA) is needed for each course.

It is possible to be a GTA for one course and one offering (~7 weeks employment), however priority will be given to applicants who can commit to more than one course or offering.

Key Responsibilities

• Work with the Course instructor to ensure course content is up to date on Canvas (e.g., updating announcement dates, assignment due dates, Zoom office hours)
• Respond to student’s questions in weekly discussions on Canvas
• Mark submitted assignments according to provided rubrics with Gradebook and assign student final grades
• Attend weekly office hours as needed (1 hour/week)
• Fix and/or document any mistakes or issues identified with course content for future iterations

Qualifications

• Enrolled in a graduate program related to data science, or health sciences/medicine disciplines
• Advanced knowledge of natural language processing, data science, statistics and machine learning
• Education or work experience in health sciences, health data sets
• Excellent written and verbal communication skills.
• Ability to work independently and collaboratively
• Familiarity with Canvas, Jupyter notebook

Salary: $38.65-$40.16/hour depending on experience

Application Process

Interested candidates should submit their CV, a cover letter detailing their relevant experience, and contact information for two references.

Equity and diversity are essential to academic excellence. An open and diverse community fosters the inclusion of voices that have been underrepresented or discouraged. We encourage applications from members of groups that have been marginalized on any grounds enumerated under the B.C. Human Rights Code, including sex, sexual orientation, gender identity or expression, racialization, disability, political belief, religion, marital or family status, age, and/or status as a First Nation, Metis, Inuit, or Indigenous person.