LEO Lecturer I (LING 321)

University of Michigan; Ann Arbor (MI); On-site; USD 45,000 - 65,000; Full time

Job summary

The University of Michigan's Department of Linguistics in the College of Literature, Science and Arts is hiring up to two LEO Lecturer I roles to teach two sections of LING 321, supervise undergraduate instructional aides, and handle grading. In-person instruction applies, with workloads of 50% for one section and 25% for the other, or a single 75% hire covering both sections.

Required are an MA or PhD in Linguistics or a related field, plus demonstrated college‑level teaching experience.

Qualifications

• MA or PhD in Linguistics or related field.
• Demonstrated college-level linguistics teaching experience.
• Experience with interactive and engaged teaching encouraged.

Responsibilities

• Attend all lectures and lab days for the course, with in-person instruction.
• Hold at least 2 office hours each week.
• Manage undergraduate instructional aides (IAs) acting as graders.
• Grade assignments as directed by lead faculty.
• Meet weekly with the lead instructor and respond to emails promptly.

Skills

Teaching linguistics

In-person instruction

Education

MA or PhD in Linguistics

Job description

Mission Statement

The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.

Job Summary

The Department of Linguistics in the College of Literature, Science and Arts at the University of Michigan is accepting applications, seeking to fill up to two (2) LEO Lecturer I positions to teach two (2) sections of LING 321. The hires will manage undergraduate instructional aides (IAs), grade, and lead lab sections for faculty‑led lecturers for LING 321 at 50% effort and 25% effort, respectively. As an alternative, this may be a hire of one (1) LEO Lecturer I who can fulfill both sections of the LING 321 positions at a total of 75% effort, depending on section availability. All teaching is expected to be in‑person.

Responsibilities

• Attend all lectures and lab days for the course. Lab days are held at the same time as lecture, but are just for students to work and seek help. Note that both lecture and lab sessions are scheduled as in‑person instruction.


• Hold at least 2 office hours each week.


• Manage IAs who are serving as graders and helpers in lab sessions


• Grade assignments, per lead faculty instruction.


• Meet weekly with the lead instructor, and respond promptly to emails.

Required Qualifications

Must have an M.A. or PhD in Linguistics, or a closely related field, and demonstrated experience teaching linguistics at the college-level. Applications will be evaluated based upon each candidates expertise, successful performance in the classroom, and the needs of the department. Experience with interactive and engaged teaching strategies preferred.

Course Description

LING 321: Alien Anatomy: How ChatGPT Works: Two (2) sections (anticipated total enrollment: 160 students)

Students will learn about the basic AI and machine learning techniques that make up UM ChatGPT, such as neural networks, back propagation, transformers, training, and guardrails. Students will build several AI projects, including a chatbot, image recognizer, and gesture recognizer. Readings and discussions will explore the limitations, regulation, and comparisons with humans to ChatGPT and similar LLM technologies.

Modes of Work

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.

Lecturer Compensation

50.00% to teach one section of LING 321

25.00% to teach one section of LING 321

Additional Information

The University of Michigan is an equal opportunity employer.

Union Affiliation

This position is covered under the collective bargaining agreement between the U-M and the Lecturers Employee Organization, AFL-CIO, which contains and settles all matters with respect to wages, benefits, hours and other terms and conditions of employment.

Background Screening

The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks will be performed in compliance with the Fair Credit Reporting Act.

Contact Information

For questions, please email [email protected]

U-M EEO Statement

The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.