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Applied Computer Science Jobs (NOW HIRING)

Digipulsetech

#16 - SOFTWARE DEVELOPER

Cherry Hill, NJ · On-site

$90 - $150/hr

LANGUAGES, SKILLS AND TOOLSEDUCATION Master's degree in computer science/computer applications/Applied Computer Science/Engineering (Electrical /Mechanical/ Computer Science) . Will accept bachelor ...

Digipulsetech

#25 - QA AUTOMATION TESTER

Cherry Hill, NJ · On-site

$90 - $140/hr

Java * TOSCA Education Master's degree in computer science/computer application/applied computer science/engineering (computer/electronics/mechanical). Will accept computer science/computer ...

Hcfl

Computer Science Instructor

Dale, IN

$57K - $98K/yr

The Computer Science Department seeks a strong scholar-practitioner who will share faculty ... Grade 1: PhD in major field $57,255.05 Up to four salary steps may be applied to the starting ...

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How much do applied computer science jobs pay per year?

As of Sep 7, 2026, the average yearly pay for applied computer science in the United States is $70,227.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $96,500.00 per year, depending on experience, location, and employer.

What is applied computer science?

An Applied Computer Science job focuses on practical applications of computing principles to solve real-world problems. Professionals in this field use programming, algorithms, data analysis, and software development to create efficient solutions in various industries. Unlike theoretical computer science, applied computer science emphasizes hands-on implementation and problem-solving. Careers include roles in software development, cybersecurity, data science, and systems administration. These jobs require both technical expertise and the ability to apply computing knowledge to diverse challenges.

What are the key skills and qualifications needed for applied computer science?

To thrive in Applied Computer Science, you need a strong understanding of programming, algorithms, and software engineering, usually with a relevant degree such as Computer Science or Software Engineering. Familiarity with development tools, databases, cloud platforms, and possibly certifications in areas like AWS, Azure, or specific programming languages is highly valuable. Problem-solving ability, teamwork, and effective communication are vital soft skills for delivering solutions in collaborative environments. These abilities ensure your technical solutions are robust, efficiently meet user needs, and integrate smoothly into real-world business contexts.

What are common career advancement opportunities in applied computer science?

Professionals in Applied Computer Science often start in roles such as software developer, systems analyst, or data analyst, and can advance to positions like lead engineer, project manager, or solutions architect with experience. Many organizations encourage ongoing learning through workshops, certifications, and cross-functional projects, allowing for skill-building and specialization in areas like cloud computing, cybersecurity, or artificial intelligence. Some may progress into leadership roles overseeing development teams or managing technical projects. As technology evolves, there is significant potential to transition into new specialties or higher-level positions within the IT and software industry.

Are applied computer science majors still in demand?

Applied computer science majors are in high demand due to the growth of technology industries, data analysis, cybersecurity, and software development. Skills in programming languages, algorithms, and systems design increase employability across various sectors, with many roles requiring practical experience and certifications.

What are 5 careers in applied computer science?

Applied computer science offers careers such as software developer, data analyst, cybersecurity analyst, systems engineer, and machine learning engineer. These roles typically require programming skills, knowledge of algorithms, and familiarity with tools like Python, Java, or cloud platforms.

What can you do with an applied computer science degree?

An applied computer science degree prepares individuals for roles such as software developer, data analyst, systems analyst, cybersecurity specialist, or network administrator. Graduates can work in technology companies, finance, healthcare, or government agencies, often utilizing programming languages, data management, and problem-solving skills to develop and maintain computer systems and applications.
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Cities with the most Applied Computer Science job openings:

What are the most commonly searched types of Applied Computer Science jobs?

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What states have the most Applied Computer Science jobs?

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Applied Computer Science jobs near you
Infographic showing various Applied Computer Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $70,227 per year, or $33.8 per hour.

Applied Computer Science Benchmark Specialist

Weekday AI

Remote

$66 - $84/hr

Contractor

Posted 21 days ago

Job description

This role is for one of our clients
Compensation: $66 - $84 per hour
We are seeking experienced computer science professionals to author and review high-quality academic assessment content for an AI research initiative. In this role, you will develop and validate rigorous multiple-choice questions across a broad range of computer science domains, assess solution quality, and help establish gold-standard benchmarks for evaluating advanced AI systems.
You will contribute through one of two primary task types:
Question Authoring - Develop original, challenging multiple-choice questions within your area of computer science expertise, assess their difficulty, and submit them for review.
Question Verification - Review existing questions for technical accuracy, clarity, completeness, and rigor. Make necessary edits, assess difficulty, and document the rationale behind your changes.
Requirements
Computer Science Domains
  • Accelerator / GPU Kernel Engineering
  • Formal Methods & Automated Reasoning
  • Computer Architecture & Accelerators
  • Distributed Systems
  • DevOps & Site Reliability Engineering
  • Data Engineering & Databases
  • Cloud Computing & Infrastructure
  • Operating Systems & Systems Kernel
  • Machine Learning Engineering
  • Web & API Development
  • Embedded Systems Engineering
  • Computer Graphics & Game Development
  • Mobile Engineering
Key Responsibilities
  • Create original computer science questions that evaluate deep conceptual understanding, technical reasoning, and problem-solving rather than surface-level recall.
  • Ensure every question is unambiguous, self-contained, technically accurate, and sufficiently specified for a qualified expert to solve.
  • Classify questions by difficulty:
    • Medium: Introductory undergraduate level
    • Hard: Advanced undergraduate level
    • Expert: Postgraduate level and above
  • Provide one correct answer alongside nine plausible but subtly incorrect alternatives designed to distinguish strong technical reasoning from superficial knowledge.
  • Develop clear, structured solution explanations that demonstrate the reasoning and technical principles required to reach the correct answer.
  • Provide 1-5 authoritative references per question, drawing from peer-reviewed research, academic publications, university resources, and other reputable technical sources.
  • For verification assignments, identify issues related to correctness, clarity, completeness, precision, or solvability and clearly explain the reasoning behind any recommended edits.
  • Apply consistent standards when evaluating questions and solutions to ensure benchmark quality and reproducibility.
Ideal Qualifications
  • PhD or doctoral candidacy in Computer Science, Electrical Engineering, Computer Engineering, or a closely related discipline.
  • A Master's degree may be considered for candidates with exceptional expertise in a specialized computer science domain.
  • Strong command of graduate-level computer science theory, algorithms, systems, software engineering, architecture, and/or machine learning.
  • Demonstrated depth in one or more of the listed technical domains.
  • Research publications, substantial industry experience at leading technology organizations, systems engineering experience, or competitive programming experience is a strong plus.
  • Excellent written English and the ability to communicate complex technical concepts clearly, accurately, and concisely.
  • Strong attention to detail and the ability to distinguish technically valid solutions from plausible but incorrect approaches.
More About the Opportunity
  • Expected commitment: 10+ hours per week
  • Fully remote and asynchronous
  • Flexible scheduling based on project requirements
  • Opportunity to contribute to the development of high-quality benchmarks for evaluating advanced AI systems
  • Strong contributors may be considered for additional review, evaluation, or subject-matter expert opportunities
Application Process
Submit your resume or a summary of your relevant academic and professional background.
Selected candidates may be asked to complete a short technical assessment or provide additional information about their area of expertise.
Equal Opportunity
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations throughout the application and engagement process.
Contract and Payment Terms
  • Engagement will be on an independent contractor basis.
  • This is a fully remote opportunity that can be completed on your own schedule.
  • Projects may be extended, shortened, or concluded early depending on project requirements and performance.
  • Work will not require access to confidential or proprietary information belonging to any current or former employer, client, or institution.
  • Payments are made weekly through Stripe or Wise, based on services rendered.
  • H-1B and STEM OPT candidates are not eligible for this opportunity at this time.

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