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Highest Paying Computer Science Jobs (NOW HIRING)

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How much do highest paying computer science jobs pay per year?

As of Jul 8, 2026, the average yearly pay for highest paying computer science in the United States is $65,470.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $69,500.00 per year, depending on experience, location, and employer.

What are the highest paying jobs in computer science?

The highest paying jobs in computer science often include roles such as software architect, machine learning engineer, data scientist, IT manager, and cloud solutions architect. These positions typically require advanced technical skills and may involve leadership responsibilities. Compensation can vary based on experience, education, industry, and geographic location, but these roles consistently offer some of the highest salaries in the tech sector. Many of these jobs also provide opportunities for growth and specialization.

What types of projects and responsibilities can I expect in the highest paying computer science roles?

In the highest paying computer science positions, such as those in machine learning, artificial intelligence, or cybersecurity, you can expect to work on complex, high-impact projects that drive business innovation or protect critical data. Typical responsibilities include designing scalable algorithms, building and optimizing large systems, and collaborating closely with cross-functional teams like data scientists, product managers, and engineers. These roles often require staying current with emerging technologies and solving challenging technical problems, making adaptability and continuous learning essential. You may also have opportunities to mentor junior staff and lead technical initiatives, which can accelerate your career growth.

What are the key skills and qualifications needed to thrive in the highest paying computer science roles, and why are they important?

To excel in the highest paying computer science roles, you typically need expertise in computer programming, systems design, and algorithm development, supported by a bachelor's or master's degree in computer science or related fields. Proficiency with advanced programming languages (like Python, Java, or C++), cloud platforms, and relevant certifications (such as AWS Certified Solutions Architect or Certified Information Systems Security Professional) is highly valued. Exceptional problem-solving abilities, strong analytical thinking, and effective collaboration skills help professionals stand out in these competitive positions. These capabilities are crucial for innovating, building robust software solutions, and driving business success in a rapidly evolving tech landscape.
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Hybrid Visiting Professor of Computer Science

Hybrid Visiting Professor of Computer Science

DeVry University

Chicago, IL • On-site

$1.5K - $2.7K/wk

Full-time

Retirement

Posted 27 days ago


DeVry University rating

8.2

Company rating: 8.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

114th of 546 rated colleges and universities


Job description

Position requires onsite teaching in Chicago, IL and a Master's Degree in a relevant field.
DeVry University strives to close our society's opportunity gap and address emerging talent needs by preparing learners to thrive in careers shaped by continuous technological change. Through innovative programs, relevant partnerships, and exceptional care, we empower students to meaningfully improve their lives, communities, and workplaces.
Opportunity:
This role will provide instruction and support to DeVry University's Advantage Academy high school population in Chicago, IL. DeVry University's Advantage Academy helps qualified Chicago Public School students take college courses-and earn an Associate Degree -while earning a high school diploma at the same time.
Location is 1900 W. Lawrence Avenue Chicago, Il (Ravenswood area). Classes run from 9-12pm or 12-3pm CST.
  • Courses meet once or twice a week for eight weeks.
  • Face-to-face interaction is blended with technology (such as online discussions and online assignments) for an enhanced learning environment.
  • Faculty are responsible for facilitating student learning by teaching courses and programs in accordance with DeVry University requirements.
  • Faculty develop course syllabi and lesson plans and apply teaching techniques to best achieve course and programmatic objectives.
  • All DeVry instructors will participate in a comprehensive faculty training program and ongoing faculty development activities to ensure the highest quality instruction.
  • DeVry University does not guarantee any specific number of work hours or assignments, which may vary based on the University's needs and discretion.
  • As you explore this opportunity, we invite you to view this brief video highlighting how our faculty engage in meaningful student support.

Responsibilities:
  • Develops and provides students with an approved DeVry University syllabus that follows a template established by the local campus, and which includes the terminal course objectives.
  • Organizes, prepares, and regularly revises and update all course materials.
  • Uses appropriate technological options for online technologies and course-related software, including Websites, e-mail, and online discussions for preparing the course and making it accessible to students.
  • Models effective oral and written communications that engage the students, provide clarity, and improve student learning.
  • Sets clear expectations for the course by publishing course terminal objectives, assignment/examinations dates, and weight the distribution of various evaluation categories.
  • Ensures that the content and level of material included on exams correspond to the course terminal objectives.
  • Demonstrates consistency and fairness in the preparation and grading of exams and provides timely feedback to students.
  • Embraces and integrates the responsible use of AI technologies in the classroom to enhance teaching and learning outcomes.
  • Demonstrates the ability to recognize, evaluate, and address appropriate and inappropriate student use of AI tools in academic work.
  • Completes other duties as assigned.

Qualifications:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • A master's degree is required, along with 18 graduate credit hours in the subject being taught.
    • Applicants must upload unofficial graduate-level transcripts with their application.
    • Degrees must be awarded by an institution accredited by an agency recognized by the U.S. Department of Education or the Council for Higher Education Accreditation, or by an international institution determined to hold equivalent accreditation.
  • Additional requirements driven by state licensing or accreditation considerations may apply.
  • Faculty must have requisite subject matter expertise and outstanding communication skills.
  • Faculty must have a commitment to ongoing professional development in instructional technology, digital literacy, and responsible AI practices.

Pay:
Visiting Professor pay is based on level, credit hours taught per 8-week session, and location.
  • Pay may vary in most states from $1500-$2700 per 8-week session.
  • Pay in the states of AZ, CA, IN and PA is paid at an hourly rate of either $22.00/hour or $23.50/hour.

For Visiting Professor roles, we accept applications on an ongoing basis.
DeVry University offers benefit options for Visiting Professors, including:
  • 401(k) and Roth Plan
  • Paid Tuition Program
  • Remote and Flex Work Options
  • Paid Sick Time
  • Technology Stipend

We believe that a vibrant and collaborative workplace is essential to our educational mission and the success of our community. We are committed to a workplace environment where all colleagues feel valued, respected, and supported.

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