Student Entry Level-Machine LearningUniversity of New Mexico • United States
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Student Entry Level-Machine Learning
University of New Mexico
- United States
- United States
À propos
Working Title Student Entry Level-Machine Learning
Pay 15.00 Hourly
Campus Main - Albuquerque, NM
Department Mechanical Engineering (023A)
Employment Type Student Employment
Student Type Student Employment
Status Non-Exempt
Background Check Required No
For Best Consideration Date 6/15/2026
Position Summary The Mechanical Engineering Department is currently seeking a remote assistant for the Summer 2026 ME462/562 Machine Learning for Aerospace (ML4A) course powered with LoboLearn project.
The assistant will work closely with faculty and is responsible for:
• Maintain the LoboLearn platform
• Monitor student engagement on Canvas
• Answering/grading student questions regarding assignments on LoboLearn.
• Other job-related duties as assigned.
Minimum Qualifications
Preferred Qualifications
Preferred Qualifications:
• Knowledge and understanding of the principles, methods, and procedures for assigning grades to mathematical and/or engineering problems. • Graded A/A+ in ML4A • Strong organizational skills • Flexible Schedule • Dependable
Application Instructions
Only applications submitted through the official UNMJobs site will be accepted. If you are viewing this job advertisement on a 3rd party site, please visit UNMJobs to submit an application. Apply to application and attach your CV and transcript.
The University of New Mexico is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability, or any other protected class.
Compétences linguistiques
- English
Avis aux utilisateurs
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