ML Grading Assistant — Student/Hybrid (Python & ML)

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

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.