Seasonal Maintenance Assistant

Saline, MI
Seasonal
Facilities
Student (High School)
Role Summary:

Quantum Signal AI is looking for a part-time Seasonal Maintenance Assistant to join our team for the summer season. Day to day, you’ll take direction from the facilities manager to respond to requests related to preventative maintenance and repairs. You will provide support in maintaining and improving the functionality of our facilities and grounds. No two projects are the same and you’ll have the opportunity to contribute to many different tasks and learn new skills regularly. The ideal candidate for this position is detail-oriented, able to work independently, and committed to maintaining a safe work environment.

Location:

Saline, Michigan (In-person). Our “historic schoolhouse” office supports hands-on collaboration, mentorship, and real-time problem solving.

What You’ll Do:
  • Assist in painting and plastering tasks as needed
  • Assist in facilities maintenance tasks as assigned
  • Follow established safety procedures and guidelines
  • Clean and maintain work areas to ensure a safe and organized environment
  • Wear and properly use personal protective equipment (PPE) at all times
  • Perform light electrical and plumbing tasks under supervision
  • Moving furniture and equipment as needed
  • General grounds tasks such as trimming, planting, and spraying for weeds
What You’ll Bring:
  • High school diploma or equivalent
  • Commitment to workplace safety and adherence to safety protocols
  • Safely walk and stand for extended periods of time, reach (including above your head), bend, climb, push, pull, twist, squat and kneel as necessary
  • Basic knowledge of common hand and power tools for measuring, cutting, assembling, and installing components.
  • Ability to lift objects of various shapes, sizes, and weights (up to 50 lbs.)
  • Ability to work independently and prioritize tasks
  • Comfortable working on ladders and walking on the roof
  • Strong attention to detail and problem-solving abilities
  • Valid driver’s license
  • Excellent communication and interpersonal skills
  • Must be reliable, punctual, and able to work well in a team environment
Bonus Points For:
  • 1+ year(s) of related coursework or professional experience
  • Occupational workplace health safety training - i.e. lab, wood/auto shop classes. 
  • Open-mindedness and curiosity about learning new tools and applying your skills broadly to a variety of projects
  • Understanding of when you need help/feedback
  • Hobby, coursework, or professional experience in any of the following areas
    • Painting
    • Carpentry
    • HVAC
    • Shop safety training
You may not check every box, or your experience may look a little different from what we've outlined, but if you are excited about this role and think you can bring value to Quantum Signal AI, we encourage you to apply!

What You’ll Get:
  • Salary: $16 - $18 hourly
  • Hours: 24 hours per week for 16 weeks (May through September)
  • Flexible schedule options
  • Ford A/X-Plan vehicle discounts
  • A relaxed, fun community and environment in which to solve interesting problems  
  • Opportunity to participate in a 401(k) savings plan
  • Other perks to fuel creativity such as an on-site gymnasium, free drinks and snacks, and a variety of optional team activities
Candidates for positions with Quantum Signal AI must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

Visa sponsorship is not available for this position. 

About QSAI:

Founded in 1999 and now a subsidiary of Ford Motor Company, Quantum Signal AI is an engineering research and development team focused on realizing the future of mobility. We specialize in building robust technologies that make transportation more effective, efficient, and accessible for everyone.  

Located in the historic Union School in Saline, MI, our office is a unique engineering playground designed for creativity and exploration. We are a community of smart people who love new challenges and value technical curiosity over specialization.
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