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Entry Level Computer Science Artificial Intelligence Jobs in Cleveland, OH

SCATR Corp.

Artificial Intelligence Engineer

Cleveland, OH

$111K - $133K/yr

Bachelor's or Master's degree in computer science, Data Science, Artificial Intelligence, or a related field * Proven experience as an AI engineer, machine learning engineer, or similar role * Strong ...

Varsity Tutors

College Computer Science Tutor

Akron, OH · Remote

$18 - $40/hr

Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ...

Flexjet

AI Engineer

Cleveland, OH

... and artificial intelligence solutions. You will work closely with data scientists, software ... Masters degree in Computer Science, Engineering, Data Science, or a related field Strong ...

Flexjet

AI Engineer

Cleveland, OH

... and artificial intelligence solutions. You will work closely with data scientists, software ... Computer Science, Engineering, Data Science, or a related field · Strong programming skills in ...

Flexjet

AI Engineer

Cleveland, OH · On-site

... and artificial intelligence solutions. You will work closely with data scientists, software ... Computer Science, Engineering, Data Science, or a related field • Strong programming skills in ...

Flexjet

AI Engineer

Cleveland, OH · On-site

... and artificial intelligence solutions. You will work closely with data scientists, software ... Required : • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a ...

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Entry Level Computer Science Artificial Intelligence information

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How much do entry level computer science artificial intelligence jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for entry level computer science artificial intelligence in Cleveland, OH is $16.41, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $16.78 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Computer Science Artificial Intelligence vs Entry Level Data Science?

AspectEntry Level Computer Science Artificial IntelligenceEntry Level Data Science
Required CredentialsBachelor's in Computer Science, AI, or related fields; knowledge of programming, machine learning, and algorithmsBachelor's in Data Science, Statistics, or related fields; skills in programming, statistics, and data analysis
Work EnvironmentTech companies, research labs, startups focusing on AI applicationsBusiness, finance, healthcare, and tech firms analyzing data for insights
Employer & Industry UsageUsed in AI development, machine learning projects, and automationUsed in data analysis, predictive modeling, and business intelligence

Both roles require programming skills and a strong foundation in computer science. While AI focuses on developing intelligent systems and algorithms, data science emphasizes analyzing data to inform decisions. The choice depends on your interest in creating AI solutions versus extracting insights from data.

What are Entry Level Computer Science Artificial Intelligence jobs?

Entry Level Computer Science Artificial Intelligence jobs are positions designed for recent graduates or individuals with limited professional experience in computer science, specifically focusing on artificial intelligence (AI). These roles typically involve assisting in the development, testing, and deployment of AI models and algorithms under the guidance of more experienced engineers or data scientists. Tasks may include data preprocessing, writing code for machine learning models, evaluating model performance, and collaborating with teams to solve real-world problems using AI. Entry-level AI jobs provide an opportunity to gain practical experience, learn industry-standard tools and frameworks, and build foundational skills for a career in artificial intelligence.

What types of projects can I expect to work on as an entry-level AI professional in computer science?

As an entry-level AI professional, you’ll typically contribute to projects involving data preprocessing, model training, and algorithm implementation under the guidance of senior team members. You might work on tasks like cleaning datasets, developing and testing machine learning models, and assisting in deploying AI solutions. Collaboration with software engineers, data scientists, and product managers is common, providing you with a well-rounded introduction to real-world AI development and teamwork. These projects help you build foundational skills while gaining exposure to various AI applications and industry tools.

What are the key skills and qualifications needed to thrive as an Entry Level Computer Science Artificial Intelligence professional, and why are they important?

To excel in an entry-level AI role, you need a solid understanding of computer science fundamentals, programming languages like Python, and basic knowledge of algorithms and data structures, typically supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data analysis tools, and version control systems is highly valued. Strong problem-solving skills, curiosity, and effective teamwork set candidates apart in this field. These abilities are crucial for building robust AI solutions, adapting to technological advances, and collaborating efficiently on complex projects.
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What job categories do people searching Entry Level Computer Science Artificial Intelligence jobs in Cleveland, OH look for? The top searched job categories for Entry Level Computer Science Artificial Intelligence jobs in Cleveland, OH are:
What cities near Cleveland, OH are hiring for Entry Level Computer Science Artificial Intelligence jobs? Cities near Cleveland, OH with the most Entry Level Computer Science Artificial Intelligence job openings:
Entry Level Computer Science Artificial Intelligence jobs near you

Artificial Intelligence Engineer

SCATR Corp.

Cleveland, OH

$111K - $133K/yr

Other

Re-posted 2 days ago

Job description

Company Overview:

SCATR – THE DATA CAMOUFLAGE COMPANY™

Born from warfighter requirements and inspired by the animal kingdom’s natural defense mechanisms, we developed patented, quantum-resistant Data Camouflage™ technology for data in motion—safeguarding enterprises and the individuals who depend on them.

The STUN™ security platform empowers organizations to proactively secure data in motion across untrusted networks, providing data obfuscation, resiliency, and quantum-proof security. Our patented, quantum-resistant Data Camouflage™ technology allows enterprises to secure their data in motion across the world’s most hostile environments, addressing a critical gap in Zero Trust security architectures that often focus on protecting data at rest (ZTN) and data in use (ZTNA).

We integrate with global providers like Amazon Web Services, Microsoft Azure, Google Cloud and Equinix to enhance our placement and access, offering true edge to enterprise solutions.

SCATR is Zero Trust Transit™ security for data in motion.

Job Overview:

We are looking to add an experienced Artificial Intelligence (AI) Engineer to our dynamic team and contribute to the development of a robust AI-enabled solution. As an AI Engineer, you will be responsible for designing, implementing, testing and maintaining high-performance AI and machine learning models and algorithms, ensuring its compatibility and optimization across diverse software deployments. This role involves working closely with software engineers and other stakeholders to build intelligent systems that enhance our business operations and product offerings.  The ideal candidate will have a strong background in AI, machine learning and data science, with experience in deploying AI solutions in a production environment.

Responsibilities:

  • Design, develop and maintain AI and ML Models and algorithms using the latest technologies and best practices. 
  • Collaborate with cross-functional teams, including product management and UI/UX design, to gather requirements and ensure the successful implementation of AI-driven features.
  • Optimize and fine-tune models for performance, accuracy and scalability.
  • Deploy AI models, processes, and systems for knowledge sharing and reproducibility.
  • Translate business requirements into technical designs and code implementations, ensuring the delivery of high-quality software solutions.
  • Write efficient and maintainable code that meets the project's functional and performance requirements.
  • Conduct thorough testing and debugging of applications to ensure software quality and reliability.
  • Work closely with Quality Assurance teams to identify and fix software defects and inconsistencies.
  • Stay updated with the latest industry trends, technologies and best practices for AI-enabled software development.
  • Participate in code reviews, provide constructive feedback and continuously seek opportunities for codebase improvement.
  • Collaborate with the DevOps team to automate build, deployment and testing processes.
  • Assist in providing timely resolution of customer-reported issues.

Why SCATR?

  • Innovative Technology: Work with cutting-edge technologies that are transforming data security.
  • Collaboration & Growth: Join a dynamic team where your contributions directly impact global organizations' ability to secure their data in motion.
  • Competitive Benefits: We offer a comprehensive benefits package, flexible working hours and the opportunity to work on impactful projects.

Preferred Requirements:

  • Bachelor’s or Master’s degree in computer science, Data Science, Artificial Intelligence, or a related field
  • Proven experience as an AI engineer, machine learning engineer, or similar role
  • Strong understanding of machine learning algorithms, neural networks, and deep learning
  • Proficiency in programming languages such as Python, R, C++, or Java
  • Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, Caffe, Keras, or similar
  • Knowledge of data preprocessing techniques and tools.
  • Familiarity with cloud platforms and services (e.g., AWS, Google Cloud, Azure) for deploying AI models
  • Networking fundamentals (e.g. common protocols, network structures, etc.)
  • Experience with source control tools (e.g., Git) and project management systems.
  • Familiarity with Agile software development practices and the ability to work in a collaborative team environment.
  • Excellent problem-solving and analytical skills, with a keen eye for detail.
  • Strong communication and teamwork skills, with the ability to effectively collaborate with both technical and non-technical stakeholders.
  • Ability to work in a fast-paced, dynamic environment and quickly adapt to changing priorities and project needs.

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