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Amazon Computer Science Internship Jobs in Grand Rapids, MI

TGW Logistics Group

SCADA Controls Engineer

Grand Rapids, MI · On-site

$80.20K - $103.70K/yr

Bachelor's Degree in Computer Science, Information Technology, Network Engineering, or related field, or equivalent experience. * Some internship or full-time experience supporting full project ...

Verdant Tcs

(Help Desk) - Level 2

Ada, MI

$19.50 - $26.50/hr

This is a perfect opportunity for college computer science or MIS/IS students to get paid work experience and work toward internship credit. This is also a great springboard position with someone ...

Verdant Tcs

(Help Desk) - Level 2

Ada, MI · On-site

$55K/yr

This is a perfect opportunity for college computer science or MIS/IS students to get paid work experience and work toward internship credit. This is also a great springboard position with someone ...

Magna

Student, IT

Holland, MI · On-site

$14.25 - $19/hr

... Information Technology, Computer Science, Information Systems, or related fields . Basic ... Prior internship or project experience in IT. Familiarity with helpdesk support or system ...

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How much do amazon computer science internship jobs pay per hour?

As of May 28, 2026, the average hourly pay for amazon computer science internship in Grand Rapids, MI is $24.41, according to ZipRecruiter salary data. Most workers in this role earn between $19.86 and $27.69 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Amazon Computer Science Intern, and why are they important?

To thrive as an Amazon Computer Science Intern, you need a solid understanding of computer science fundamentals, programming languages like Java or Python, and currently be enrolled in a relevant degree program. Familiarity with version control systems (e.g., Git), cloud platforms such as AWS, and debugging or development tools is typically expected. Strong problem-solving, teamwork, and effective communication skills help interns collaborate and learn quickly in a fast-paced environment. These abilities enable interns to contribute meaningfully to projects, adapt to Amazon’s dynamic culture, and maximize their learning experience.

What types of projects do Amazon Computer Science Interns typically work on, and how are they assigned?

Amazon Computer Science Interns are usually assigned to real-world projects that have a tangible impact on the company's products and services. These projects can range from developing scalable web services, improving machine learning models, to optimizing backend systems for performance. Interns are matched with teams based on their skill set, interests, and the needs of the business, ensuring a meaningful learning experience. Collaboration is key: interns work closely with experienced engineers, participate in code reviews, and often present their solutions to stakeholders. This hands-on environment helps interns build both technical and teamwork skills.

What is an Amazon Computer Science Internship?

An Amazon Computer Science Internship is a paid, hands-on opportunity for students studying computer science or related fields to gain real-world experience at Amazon. Interns work alongside experienced engineers on impactful projects, often involving software development, systems engineering, or data analysis. The program typically runs for 12-16 weeks during the summer and offers mentorship, networking, and potential pathways to full-time roles. Interns can expect to enhance their technical skills, contribute to innovative solutions, and learn about Amazon’s culture and technologies.
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Amazon Computer Science Internship jobs near you

RLS Intern - Technical Information & Documentation

Kiongroup

Holland, MI • On-site

$19 - $25/hr

Full-time

Posted 25 days ago

Job description

We are seeking a motivated and diligent Summer Intern to join our Robotics Lifecycle Services team. This position involves supporting the standardization, structuring, and quality improvement of technical information that underpins our robotics solutions across their lifecycle. This internship offers hands on exposure to user documentation processes, content management systems, and standard methodologies that support both human and technology-assisted use of technical content.We offer:

Job Description

Career Development

Competitive Compensation and Benefits

Pay Transparency

Global Opportunities

Learn More Here: https://www.dematic.com/en-us/about/careers/what-we-offer/

Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

The base pay range for this role is estimated to be $19.00 - $25.00 per hour at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge, and skills.

Tasks and Qualifications:

What You Will Do in this Role:

  • Support technical information standardization through reauthoring and reverification of legacy and existing content
  • Transfer and structure technical information into the standardized CCMS, following defined content models
  • Apply content standards and guidelines to ensure consistency, clarity, and quality across migrated content
  • Support content preparation to enable reuse by people and AIbased tooling

What We are Looking For:

  • Analytical thinking and attention to detail
  • Ability to understand and apply structured content models
  • Comfort working with technical information and standards
  • Interns with prior exposure to technical documentation, data structuring, or systems thinking

-> Field of study:

  • Technical Communication / Technical Writing
  • Information Science / Information Management
  • Computer Science or Software Engineering(with documentation or content focus)
  • Engineering (Robotics, Mechanical, Electrical, Industrial)with strong writing skills

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