This a Full Remote job, the offer is available from: United States
Position Details
Position Information
Position Title Applied Natural Language Processing Course Teaching Assistant (TA)
Department Online MEng
Position Number 0000000
Hiring Range Minimum 4,000 stipend paid monthly
Hiring Range Maximum 4,000 stipend paid monthly
Location of Position
Remote
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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
Quick Link https://searchjobs.dartmouth.edu/postings/73693
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
Location: Anywhere
Posted: Oct. 31, 2024, 3:37 a.m.
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