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Computer Science Education Jobs in Ohio (NOW HIRING)

Performs all other duties and projects as assigned Skills Knowledge and Expertise Bachelor's or Collage Degree in Computer Science, Education, Information Systems, Information Technology, Mathematics ...

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Instructor, Science (Upward Bound) Department: Youth, Adult and Community Connections Upward Bound ... Works with educational technologies, computer applications, and other materials or delivery systems ...

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Computer Science Education information

See Ohio salary details

$53.7K

$79K

$93.2K

How much do computer science education jobs pay per year?

As of Jul 2, 2026, the average yearly pay for computer science education in Ohio is $79,011.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,700.00 and $88,900.00 per year, depending on experience, location, and employer.

What is computer science education?

Computer science education refers to the teaching and learning of the principles, concepts, and applications of computer science. It includes topics such as programming, algorithms, data structures, computer systems, and computational thinking. Computer science education can take place at various levels, from elementary school to higher education and professional development. Its goal is to equip students with the skills needed to understand and create technology, solve complex problems, and participate in a digital society.

What is the work of computer science education?

Computer science education involves teaching students programming, algorithms, data structures, and computational thinking skills. Educators develop curricula, deliver lessons, and assess student understanding to prepare learners for careers in technology and related fields.

What is the difference between Computer Science Education vs Computer Science Teacher?

AspectComputer Science EducationComputer Science Teacher
Required CredentialsTypically requires a degree in computer science or education, often with certification in teachingRequires a degree in computer science or related field, plus teaching certification
Work EnvironmentEducational institutions, online platforms, training programsSchools, colleges, educational institutions
Employer & Industry UsageEducational organizations, edtech companies, training providersPrimary schools, high schools, colleges
Common Search & ComparisonFocuses on curriculum development, programming skills, and educational methodsFocuses on classroom teaching, lesson planning, and student assessment

Computer Science Education generally refers to designing and delivering computer science curricula, often involving curriculum development and educational strategies. In contrast, a Computer Science Teacher primarily focuses on instructing students in computer science concepts within a classroom setting. Both roles require similar credentials but differ in their scope and work environment.

What jobs will a computer science degree get you?

A computer science degree can lead to roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. These jobs typically require programming skills, knowledge of algorithms, and familiarity with tools like databases and operating systems.

Is computer science teaching in demand?

Computer science teaching is in high demand due to the growing need for technology skills across industries. Educators with expertise in programming, algorithms, and software development are sought after in schools, colleges, and online platforms to meet the increasing interest in computer science education.

What are some common challenges faced by computer science educators in keeping course content current?

Computer science educators often face the challenge of rapidly evolving technology, which makes it necessary to regularly update course materials to reflect new programming languages, frameworks, and industry practices. Balancing foundational concepts with emerging trends can be difficult, especially given limited classroom time. Additionally, educators must ensure that updates remain accessible to students with varying levels of experience, while also integrating practical, real-world projects to keep students engaged.

What are the key skills and qualifications needed to thrive in Computer Science Education, and why are they important?

To thrive in Computer Science Education, you need a solid background in computer science concepts, curriculum development, and typically a degree in computer science or education. Familiarity with programming languages, learning management systems (LMS), and educational technology tools is often required. Strong communication, patience, and the ability to inspire and engage students are critical soft skills. These skills and qualities ensure effective teaching, foster student understanding, and help bridge the gap between complex technical concepts and learners.

Can I become a teacher with a computer science degree?

Computer science degrees can qualify individuals to become computer science teachers at the high school or middle school level, often requiring state certification or licensure. Additional coursework in education, teaching credentials, or certification exams are typically necessary to teach in K-12 schools, while a computer science degree alone may suffice for teaching at some colleges or universities depending on institutional requirements.
What cities in Ohio are hiring for Computer Science Education jobs? Cities in Ohio with the most Computer Science Education job openings:

Computer Sciences - Graduates - AI Training - Columbus, US

Prolific Academic Ltd

Columbus, OH • On-site, Remote

$60/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Computer Sciences - Graduates - AI TrainingAbout Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We're looking for Computer Science Specialists to join our Expert Network to help train and evaluate cutting-edge AI models. If you have a background in CS research or technical analysis, we'll send you a quick 10- to 15-minute test to assess your skills. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to help AI understand and summarize complex scientific data.

Researchers looking for your skills tend to pay up to $60/hr, depending on skills and experience level. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

What you'll bring
  • Educational Background: at minimum, a BSc (Bachelor of Science) in Computer Science or a closely related technical field.
  • Technical Literacy: ability to interpret research papers, understand complex algorithms, and review code logic.
  • Analytical Mindset: high level of cognitive competency with a sharp eye for technical hallucinations or logical flaws.
  • Professional Verification: a valid LinkedIn profile to verify your degree and background during the screening process.
  • A PayPal account to receive payment from our clients
What you'll be doing in the role
  • AI Evaluation & Ranking: comparing multiple AI-generated responses to technical prompts and ranking them based on accuracy, logic, and safety.
  • Scientific Review: reviewing CS research papers alongside AI-generated summaries and graphical abstracts to ensure scientific integrity.
  • Fact-Checking: identifying inaccuracies where the AI has misinterpreted technical data, formulas, or research findings.
  • RLHF (Reinforcement Learning from Human Feedback): providing the human "ground truth" to help models align with professional standards in software engineering and data science.
  • Code & Logic Verification: auditing AI-generated code snippets or architectural diagrams for structural and functional correctness.
Key Technologies
  • Generative AI & LLMs: training the next generation of technical and reasoning models.
  • Technical Documentation: working with research papers, code repositories, and data visualizations.
  • Verification Frameworks: using structured evaluation rubrics to audit AI performance.
Why Prolific is a great platform to join as a Participant

Joining our Expert Network will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.
Links to more information on Prolific

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.