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Part Time Computer Science Jobs in Concord, NC (NOW HIRING)

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Caring for and supervising play groups of dogs according to the latest science-based dog behavior ... Computer Skills : A basic understanding of Windows-based applications is helpful. Company ...

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Caring for and supervising play groups of dogs according to the latest science-based dog behavior ... Computer Skills : A basic understanding of Windows-based applications is helpful. Company ...

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Part Time Computer Science information

See Concord, NC salary details

$52.6K

$77.4K

$91.3K

How much do part time computer science jobs pay per year?

As of Aug 16, 2026, the average yearly pay for part time computer science in Concord, NC is $77,406.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $87,100.00 per year, depending on experience, location, and employer.

What are part-time jobs in computer science?

Part-time computer science jobs focus on developing programs, engineering computer infrastructure, providing support for computer systems, and teaching computer-related subjects. As a part-time computer science professional, you perform your duties for less than 40 hours per week. As a computer science instructor, you teach coding and related skills to help students learn to develop or build programs, platforms, and networks. Your responsibilities as a computer scientist include installing, repairing, or customizing software or systems. You can also work in a job where you provide technical support for computer users. Some part-time professionals freelance or work on weekends and evenings.

What is the easiest part time computer science job to get?

Part-time roles such as data entry, technical support, or basic web development are generally easier to obtain in computer science, especially for those with foundational skills in programming, troubleshooting, or using common tools like HTML or Excel. These positions often require minimal experience and can be suitable for students or those new to the field.

What is the difference between Part Time Computer Science vs Part Time Software Developer?

AspectPart Time Computer SciencePart Time Software Developer
Required CredentialsTypically a degree or coursework in computer scienceOften a degree in computer science or related field, sometimes self-taught
Work EnvironmentAcademic settings, research labs, or online learning platformsTech companies, startups, freelance projects, or remote work
Employer & Industry UsageEducational institutions, research organizations, online education providersSoftware firms, IT departments, freelance clients
Common Search & Comparison IntentUnderstanding academic or foundational roles in computer scienceSeeking practical software development opportunities in part-time roles

Part Time Computer Science generally focuses on foundational knowledge, research, and academic coursework, while Part Time Software Developer emphasizes practical coding, application development, and project work. Both roles often require similar educational backgrounds but differ in work environment and industry application.

What jobs can you get with a part time computer science degree?

A part-time computer science degree can qualify you for roles such as software developer, web developer, technical support specialist, or data analyst. These positions often require knowledge of programming languages, problem-solving skills, and familiarity with tools like databases or coding environments, and may be suitable for flexible or entry-level schedules.

What are the key skills and qualifications needed to thrive as a part-time computer science instructor, and why are they important?

To thrive as a Part-Time Computer Science Instructor, you should have a solid background in programming languages, algorithms, and computer science fundamentals, typically supported by a relevant degree or professional experience. Familiarity with learning management systems (LMS), coding platforms, and common programming tools is important for effective instruction and student engagement. Strong communication, adaptability, and patience help instructors explain complex concepts clearly and support diverse learners. These skills ensure that students receive quality education and are well-prepared for careers in technology.

What are some common challenges faced by part-time computer science professionals, and how can they be addressed?

Part-time Computer Science professionals often face challenges such as managing workload across limited hours, staying updated with rapidly evolving technologies, and integrating effectively with full-time team members. To address these, clear communication with supervisors about workload expectations is essential, as is setting aside dedicated time for skill development. Additionally, participating in regular team meetings and utilizing collaboration tools can help maintain strong connections with colleagues and ensure project alignment despite reduced hours.

What are the most commonly searched types of Computer Science jobs in Concord, NC?

The most popular types of Computer Science jobs in Concord, NC are:

What job categories do people searching Part Time Computer Science jobs in Concord, NC look for?

The top searched job categories for Part Time Computer Science jobs in Concord, NC are:

What cities near Concord, NC are hiring for Part Time Computer Science jobs?

Cities near Concord, NC with the most Part Time Computer Science job openings:

Infographic showing various Part Time Computer Science job openings in Concord, NC as of August 2026, with employment types broken down into 24% Full Time, and 76% Part Time. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $77,406 per year, or $37.2 per hour.

Postdoctoral Fellow in Industrial & Systems Engineering

University of North Carolina at Charlotte

Charlotte, NC • On-site

$44K - $60K/yr

Full-time, Part-time

Re-posted 28 days ago


The University Of North Carolina At Charlotte rating

6.6

Company rating: 6.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

498th of 618 rated colleges and universities


Job description

Position Information
General Information
Position Number
POST40
Working Title
Postdoctoral Fellow in Industrial & Systems Engineering
Division
Academic Affairs
Department
College of Engineering (Col)
Work Unit
Dept of Industrial & Systems Engin
Work Location
Smith
Vacancy Open To
All Candidates
Position Designation
Post Doc
Employment Type
Temporary - Part-time
Hours per week
40
Work Schedule
Varies
Pay Rate
Pay Rate varies
Minimum Experience/Education
The Postdoctoral appointee must have recently (within the last eight years) been awarded a Ph.D.
Departmental Preferred Experience, Skills, Training/Education:
  • Ph.D. in Industrial Engineering, Operations Research, Industrial and Systems Engineering, Computer Science, or a closely related quantitative discipline
  • A strong experimental and theoretical background with evidence of both skills related to convex optimization, machine learning, stochastic gradient descent, and deep learning
  • Demonstrated experience in developing, analyzing, and implementing optimization algorithms and/or machine learning models for complex systems or real-world applications
  • Experience with large-scale optimization or deep learning systems is highly desirable

Duties and Responsibilities
The Postdoctoral Fellow will conduct advanced research in deep learning, with a focus on optimization design and/or the application of deep learning methods to complex real-world problems. The position aims to develop novel algorithms, improve model efficiency and performance, and translate theoretical advances into practical solutions across relevant domains. The Fellow will contribute to scholarly publications, and support ongoing research initiatives with the supervisor.
A Postdoctoral Fellow (""postdoc"") is a professional apprenticeship designed to provide recent Ph.D. recipients with an opportunity to develop further the research skills acquired in their doctoral programs or to learn new research techniques, in preparation for an academic or research career. In the process of further developing their own research skills, it is expected that Postdoctoral Fellows will also play a significant role in the performance of research at the University and augment the role of graduate faculty in providing research instruction to graduate students. A Postdoctoral Fellow works under the supervision of a regular faculty member, who serves as a mentor to the Fellow, and it is expected that the faculty mentor will impart the realities, and variety, of scientific careers, and will encourage experiences outside the laboratory to broaden postdocs' aspirations. Within the confines of the particular research focus assigned by that faculty member, the Postdoctoral Fellow functions with a considerable degree of independence and has the freedom (and is expected) to publish the results of his or her research or scholarship during the period of appointment. Thus, the role of Postdoctoral Fellows is clearly differentiated from full-time technical employees.
Postdoc appointments are characterized by all the following conditions:
* the appointee was recently (within the last eight years) awarded a Ph.D.
* the appointment is temporary;
* the appointment involves substantially full-time research or scholarship;
* the appointment is viewed as preparatory for a full-time academic and/or research career;
* the appointee works under the supervision of a faculty member; and
* the appointee has the freedom and is expected to publish the results of his or her research or scholarship during the period of appointment.
As an EOE/AA employer and an ADVANCE Institution that strives to create an academic climate in which the dignity of all individuals is respected and maintained, the University of North Carolina at Charlotte encourages applications from all underrepresented groups. Applicants subject to criminal background check.
Other Work/Responsibilities
The Postdoctoral Fellow is expected to exercise a high degree of independent judgment in the design, execution, and interpretation of research activities. The Fellow will be responsible for selecting appropriate methodological approaches in deep learning and optimization, formulating research problems, and determining suitable experimental and analytical strategies.
Necessary Licenses or Certifications
Proposed Hire Date
06/01/2026
Contact Information
Expected Length of Assignment
One year
Posting Open Date
04/20/2026
Posting Close Date
Special Notes to Applicants
Please upload the following documents with your electronic submission:
1. Cover letter
2. Curriculum Vitae.
4. Contact information for three references
Finalists will be required to complete a criminal background check and
submit their official transcripts.

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