GRADER I - ARI 410/510 (Student/Work Study)

University Of Michigan; Flint (MI); Hybrid; USD 17,000 - 25,000; Part time

Job summary

University of Michigan is seeking a GRADER I for ARI 410/510 (Student/Work Study) at UM-Flint. The role involves objective grading and recording student assessments as directed by the instructor, with hybrid work arrangements and a focus on machine learning concepts.

The candidate should be a current UM-Flint undergraduate student, familiar with Python, and experienced in training/evaluating ML models, understanding core ML algorithms and best practices.

Qualifications

• Must be a current UM-Flint Undergraduate Student.
• Familiarity with Python.
• Experience training and evaluating machine learning models.
• Understanding of fundamental machine learning algorithms and best practices.

Responsibilities

• Objective grading and the recording of student assessments as directed by the course instructor.
• Follow the instructor's prescribed methods and required response time.

Skills

Python

Machine Learning

Data Analysis

Education

Undergraduate student (UM-Flint)

Job description

GRADER I - ARI 410/510 (Student/Work Study)

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Objective grading for cross-listed courses ARI 410/510.

This position will not involve instruction, subjective grading, mentoring, or tutoring.

Study of machine learning, a subfield of artificial intelligence intersecting with statistics, cognitive science, information theory, optimization, and probability theory. Topics include but are not limited to linear discriminants, neural networks, decision trees, support vector machines, unsupervised learning, and reinforcement learning. With examples from real-world applications, students learn to build systems that learn and adapt from experience. Graded ABCDE

Responsibilities*

Objective grading and the recording of student assessments as directed by the course instructor, following the instructor's prescribed methods and required response time.

Required Qualifications*

• Must be a current UM-Flint Undergraduate Student
• Familiarity with Python
• Experience training and evaluating machine learning models
• Understanding of fundamental machine learning algorithms and best practices

Desired Qualifications*

Ability to be responsive to the needs of the instructor in terms of reliability, communication, accuracy, and timeliness

Modes of Work

Hybrid
The work requirements allow both onsite and offsite work and an employee has an expected recurring onsite presence. On occasion, the employee may be required and must be available to work onsite more frequently if necessitated by unit leadership or their designee and/or the job requirements.

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 .

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 checksare performed in compliance with the Fair Credit Reporting Act.

Application Deadline

Temp job openings are posted for a minimum of three calendar days. The review and selection process maybegin as early as the fourth day after posting.Thisopening may be removed from posting boards and filled anytime after the minimum posting period has ended.

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.

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Working Title

GRADER I - ARI 410/510 (Student/Work Study)