Lab Assistants for Artificial Intelligence and Machine Learning Engineering Lab

Southern Utah University; Cedar City (UT); Hybrid; USD 21,000 - 25,000; Part time

Job summary

Southern Utah University seeks Lab Development Assistants for the Artificial Intelligence and Machine Learning Engineering Lab on campus in Cedar City. This student hourly position focuses on establishing and enhancing an AI lab, including data collection and integration of sensors, cameras, drones, and ML tech.

You will gain hands-on experience in engineering and AI while collaborating with the lab team. Ideal candidates are motivated, possess strong communication and teamwork skills, and can

Qualifications

• Strong communication and teamwork abilities.
• Able to take initiative and work independently when needed.
• Motivated and detail-focused with reliability to meet deadlines.

Responsibilities

• Support AI/ML lab setup and data collection tasks.
• Collaborate with suppliers and team members on lab projects.
• Assist in documenting processes and maintaining lab equipment.

Skills

Communication

Teamwork

Initiative

Accountability

Deadline oriented

Job description

Lab Assistants for Artificial Intelligence and Machine Learning Engineering Lab

#56131

Details:

• Category: On-Campus
• Openings: Multiple
• Position Type: Student Hourly
• Posted on: August 31, 2026
• Work Hours: 5 - 10 hours per week
• Wage: $15/hr
• Location: Cedar City, UT

Description:

We are seeking motivated and dedicated students to join our team as Lab Development Assistants. In this role, you will be instrumental in the establishment and enhancement of a cutting-edge Artificial intelligence lab focused on data collection for engineering applications, including the integration of sensors, cameras, drones, and the implementation of AI and ML technologies. This position offers a unique opportunity to contribute to innovative projects, collaborate with suppliers, and gain hands‑on experience in the intersection of engineering and artificial intelligence.

Qualifications:

• Good communication and teamwork skills.
• Proactive and detail‑oriented with the ability to take initiative.
• Highly motivated and willing to work collaboratively in a team environment.
• Demonstrated ability to meet deadlines and take on responsibilities with a strong sense of accountability.
• Preference given to Engineering and Computer Science majors.