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Computer Science Peer Mentor Jobs in Michigan (NOW HIRING)

Oakmont Education

Science Teacher

Muskegon, MI · On-site

$50K - $60K/yr

Incorporates technology, such as computer simulations and interactive tools, into teaching to ... Oversees and mentors' students during science-related extracurricular activities or clubs.

Oakmont Education

Science Teacher

Muskegon, MI · On-site

$50K - $60K/yr

Incorporates technology, such as computer simulations and interactive tools, into teaching to ... Oversees and mentors' students during science-related extracurricular activities or clubs.

General Motors

Senior Data Scientist

Warren, MI · On-site

$150 - $200/hr

Mentor junior data scientists and contribute to the growth and development of the data science ... Master's in Computer Science, Engineering, Mathematics, Operations Research, Statistics, or a ...

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Computer Science Peer Mentor information

What is a computer science peer mentor?

Computer Science Peer Mentors are experienced students who provide guidance, support, and resources to fellow computer science students. They help peers with academic questions, study strategies, and navigating the challenges of computer science coursework. Peer mentors often lead study sessions, offer advice on time management, and connect students to useful campus resources. Their goal is to foster a supportive learning environment and help students succeed in their computer science studies.

What skills and qualifications are needed to thrive as a computer science peer mentor?

To thrive as a Computer Science Peer Mentor, a strong grasp of core computer science concepts, programming languages, and coursework—often demonstrated by successful completion of relevant classes—is essential. Familiarity with learning management systems, code collaboration platforms (like GitHub), and experience with tutoring tools or educational software is typically required. Excellent communication, patience, and active listening skills help a mentor effectively support and motivate fellow students. These skills ensure mentors can clearly explain complex topics, foster a supportive learning environment, and guide mentees toward academic success.

What challenges do computer science peer mentors face when supporting fellow students, and how are these typically addressed?

Computer Science Peer Mentors often encounter challenges such as explaining complex technical topics in an accessible way, managing time between mentoring and their own coursework, and addressing diverse learning styles among mentees. To address these, mentors receive training in communication and teaching strategies, collaborate closely with faculty, and participate in regular team meetings to share best practices. Additionally, most programs encourage mentors to set clear boundaries and use structured schedules to balance their responsibilities effectively.

What is the difference between Computer Science Peer Mentor vs Computer Science Tutor?

AspectComputer Science Peer MentorComputer Science Tutor
Required CredentialsTypically current students with strong CS knowledgeOften certified or experienced in specific CS topics
Work EnvironmentPeer-led sessions, informal settings, campus programsFormal tutoring sessions, academic centers, online platforms
Employer & Industry UsageUniversity programs, student organizationsAcademic institutions, tutoring companies
Common Search & Comparison IntentUnderstanding peer support roles in CSFinding professional help for CS coursework

Computer Science Peer Mentors are usually current students providing informal guidance within campus programs, focusing on peer support. In contrast, Computer Science Tutors often have formal credentials and offer structured tutoring sessions. Both roles aim to assist students but differ in their approach, credentials, and settings.

Do computer science peer mentors get paid?

Computer science peer mentors are often volunteer positions, but some institutions offer stipends or hourly pay for these roles. Payment depends on the program or organization, and some may provide academic credit or other benefits instead of monetary compensation.

What are popular job titles related to Computer Science Peer Mentor jobs in Michigan?

For Computer Science Peer Mentor jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Computer Science Peer Mentor jobs in Michigan look for?

The top searched job categories for Computer Science Peer Mentor jobs in Michigan are:

What cities in Michigan are hiring for Computer Science Peer Mentor jobs?

Cities in Michigan with the most Computer Science Peer Mentor job openings:

Computer Science Peer Mentor jobs near you
Infographic showing various Computer Science Peer Mentor job openings in Michigan as of September 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 1% Temporary, 3% Contract, and 2% Nights. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution.

Field Application Engineer II

Royal Oak, MI • On-site

LMI Technologies
See more jobs at LMI Technologiesexternal

Full-time

Posted yesterday

New

Job description

As a Field Application Engineer II (FAE II) at LMI Technologies, you will be a senior technical expert, solution architect, and customer advocate in the factory automation and 3D machine vision space. Based out of our Royal Oak facility, you will champion LMI’s industry-leading 3D smart sensor products, leading complex integrations, solving high-level technical challenges, and ensuring seamless deployment across key customer environments.
This role demands an experienced mechatronics or automation professional with strong engineering depth, proven customer-facing experience, and a passion for solving real-world inspection problems on the factory floor. You will act as a core technical bridge between customers, sales account managers, and internal R&D teams.
  • Advanced Sample Testing & Feasibility: Evaluate challenging customer parts and applications using LMI’s 3D sensors, generating high-precision feasibility reports and optics/sensor configuration recommendations.
  • System Integration & On-Site Support: Support robot and PLC integrations (Allen-Bradley, Siemens) and configure industrial fieldbus communications (EtherNet/IP, PROFINET, Modbus TCP) at customer manufacturing facilities.
  • Lab Validation & R&D Escalation: Reproduce and debug complex customer hardware, software, or optical issues in the lab environment to provide structured root-cause feedback to R&D and engineering product teams.
  • Technical Demos & Training: Deliver technical product demonstrations, hands-on workshops, and advanced system training for existing customers, system integrators, and internal sales teams.
  • Custom Automation & Scripting: Develop custom scripts and software tools (Python, C#, C++, LabVIEW) for application testing, evaluation, demonstration setups, and tailored customer integration workflows.
  • Tradeshows & Technical Marketing: Build interactive, engaging product demonstration setups for major industry trade shows, customer workshops, and application notes/knowledge base articles.
  • Voice of Customer & Product Mastery: Continuously build deep expertise in LMI's 3D sensor portfolio while gathering and synthesizing field feedback to drive future product enhancements.
  • Peer Mentorship: Provide technical guidance, onboarding support, and knowledge sharing to junior application engineers and technical support team members.
Education and Qualifications
  • Bachelor of Science in Computer Engineering, Electrical Engineering, Mechanical Engineering, Computer Science, Mechatronics, or equivalent from an accredited university.
  • Minimum 5 years of experience in the high-technology, factory automation, robotics, or machine vision industry.
  • Minimum 3 years of direct customer-facing technical support, field application engineering, or client-facing project execution experience.
  • Core Technical Aptitude:
    • Machine Vision & Automation: Proven experience with 3D or 2D machine vision inspection, optical sensors, industrial robotics, or PLC integration.
    • Software Scripting: Proficient with one or more programming environments including Python, C#, C++, Visual Studio, LabVIEW, or ladder logic / PLC programming.
    • 3D CAD Design: Hands-on experience with Autodesk Fusion, SolidWorks, or equivalent 3D CAD modeling software.
    • Electrical & Hardware Setup: Practical skill in basic electrical design, wiring schematics, component assembly, and hardware diagnostic troubleshooting.
    • Mobility & Logistics: Valid passport and willingness/ability to travel domestically and occasionally internationally up to 20–30% of the time.
  • Soft Skills:
    • Exceptional verbal, written, and technical presentation skills.
    • High self-motivation, critical problem-solving skills, and a strong sense of personal accountability ("hustler" mindset) to thrive in an autonomous environment without micromanagement.
    • Demonstrated ability to manage customer expectations under high-pressure plant conditions.
Our Recruitment Process
While we appreciate your interest in LMI Technologies very much, we may only be able to respond to candidates selected for further consideration.
We believe in a transparent and collaborative hiring journey. Our goal is to ensure you are as excited about us as we are about you. Below is the typical path (can vary by position):
  • Talent Discovery (Human Resources): An initial screening call focused on your professional background, language and communication proficiency, and cultural alignment with the team as well as overview of role and company.
  • Technical Assessment (if required).
  • Role Fit (Hiring Manager): A deep dive into your experience, knowledge and skills as well as sharing of role expectations and team initiatives:
    • 1st Round: General background and foundational knowledge in areas such as mathematics, image processing, and programming.
    • 2nd Round: Problem solving skills and ability to apply knowledge to practical challenges.
  • Cultural & Peer Alignment (Hiring Team & Stakeholders): A collaborative session with prospective colleagues and cross-functional partners to explore technical synergy, shared experiences, and the professional landscape at LMI Technologies.

We assure you, once you complete your application, your information is safe with us. To learn more about how we use your personal data, please review our Privacy Policy (https://lmi3d.com/privacy-policy).

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