1 Applied Natural Language Processing Course Teaching Assistant (TA) Job in Hanover, NH

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Applied Natural Language Processing Course Teaching Assistant (TA)

Dartmouth College

Hanover, NH | Full Time

$102k-181k (estimate)

1 Week Ago

Applied Natural Language Processing Course Teaching Assistant (TA)

Dartmouth College Hanover, NH

$102k-181k (estimate)

Full Time | Colleges & Universities 1 Week Ago

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Dartmouth College is Hiring an Applied Natural Language Processing Course Teaching Assistant (TA) Near Hanover, NH

Position Purpose

The Thayer School of Engineering at Dartmouth College is seeking teaching assistants (TAs) for courses in the new online Master of Engineering (MEng) in Computer Engineering. Course TAs will support course faculty and students during the course run. Currently we are looking for a TA for Applied Natural Language Processing (NLP) with Professor Euguene Santos during the Summer Term 2024. TA responsibilities will begin in early June and end in late August. The course will be in session from June 20 to August 27, 2024.

Required Qualifications

Bachelor’s degree in computer engineering or a related field
Demonstrated experience in natural language processing in the form of projects (code development, APIs, testing, evaluation), coursework, internships, or employment
Proficiency in principles of machine learning, small and large language models, speech recognition, and text retrieval, processing, and analytics
Strong organizational skills, interpersonal and verbal/written communication skills
Ability to work independently and as a member of the team
Ability to prioritize, problem solve, multi-task, and effectively manage time to meet deadlines
Ability to track and follow up on outstanding tasks or matters as needed

Preferred Qualifications

Master’s or doctoral degree in computer engineering or a related field
Experience as a teaching assistant or course instructor
Familiarity with learning management systems, particularly Coursera

FLSA

Exempt

Employment Category

Temporary Part time

Schedule

Department Contact for Recruitment Inquiries

Department Contact Phone Number

Zofia.K.Gajdos@dartmouth.edu

Department Contact for Cover Letter

Zofia Gajdos - Director of Online Education

Contact's Phone Number

Equal Opportunity Employer

Dartmouth College is an equal opportunity/affirmative action employer with a strong commitment to diversity and inclusion. We prohibit discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, veteran status, marital status, or any other legally protected status. Applications by members of all underrepresented groups are encouraged.

Background Check

Employment in this position is contingent upon consent to and successful completion of a pre-employment background check, which may include a criminal background check, reference checks, verification of work history, conduct review, and verification of any required academic credentials, licenses, and/or certifications, with results acceptable to Dartmouth College. A criminal conviction will not automatically disqualify an applicant from employment. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law.

Special Instructions to Applicants

Dartmouth College has a Tobacco-Free Policy. Smoking and the use of tobacco-based products (including smokeless tobacco) are prohibited in all facilities, grounds, vehicles or other areas owned, operated or occupied by Dartmouth College with no exceptions. For details, please see our policy. https://policies.dartmouth.edu/policy/tobacco-free-policy

Additional Instructions

Key Accountabilities

Key Accountabilities

Online Master of Engineering (MEng) in Computer Engineering Course Teaching Assistants (TAs) will support faculty and students during course run in areas including assisting the professor with facilitation of Synchronous Sessions, holding office hours, monitoring discussion forums, assisting with administration of the Coursera platform, grading of assignments, and providing technical support related to course content for students when necessary. TAs should have demonstrated proficiency in Computer Engineering course content at or above the graduate level.

Lectures for the course are offered asynchronously, with weekly Synchronous Sessions that are optional for students. The expected TA time commitment is approximately 15 hours per week. The online MEng courses will be offered on the Coursera platform. There will be required TA training in June before the term begins.

The specific responsibilities of the TA position include:

Instruction/Faculty Support (45%)

In collaboration with course faculty, grade course assignments and provide feedback to students.
In collaboration with course faculty, provide content help or tutoring to students.
Attend live course sessions, answer student questions during live sessions in the chat, and facilitate portions of the live sessions.
In collaboration with course faculty, create student teams for group projects.
Update or re-allocate student teams as needed.

Course Communication (35%)

Actively monitor and respond to discussion forum questions in a timely manner.
Create threads during the live course to spark discussion in the discussion forums.
Review any reported inappropriate activity in discussion forums that needs review against academic integrity policy and take action in accordance with Dartmouth College policies.
Send course announcements.

Course Administration (10%)

Launch live events in the course on the Coursera platform and post the recordings afterwards.
Help with scheduling live events in the course.
In collaboration with the Online Education Academic Program Manager, apply item setting exceptions in-course for approved program-level student accommodations.
In collaboration with course faculty, consider course-level student accommodation requests (including extensions, emergency absences, etc) and apply item setting exceptions for approved course-level student accommodations.

Technical Support (10%)