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$50.5K

$111.3K

$137.5K

How much do computer science artificial intelligence jobs pay per year?

As of Jun 28, 2026, the average yearly pay for computer science artificial intelligence in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

Which 3 jobs will survive AI?

In the field of computer science and artificial intelligence, roles such as AI ethicists, AI system trainers, and cybersecurity specialists are expected to persist as AI advances. These jobs require human judgment, oversight, and specialized skills that are difficult to automate fully.

What does a typical day look like for someone working in Computer Science Artificial Intelligence?

A typical day in a Computer Science Artificial Intelligence role often involves researching and developing new models, collaborating with data scientists and software engineers, and testing or optimizing machine learning algorithms. You may spend a significant amount of time analyzing datasets, building prototypes, and reviewing code, as well as meeting with multidisciplinary teams to align on project goals. The role is dynamic, with a mixture of individual problem-solving and group brainstorming to tackle complex challenges. This variety ensures continual learning and hands-on interaction with the latest technological advancements in artificial intelligence.

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

To thrive in a Computer Science Artificial Intelligence role, you need strong programming skills (Python, Java, or C++), a solid understanding of machine learning algorithms, and typically at least a bachelor's degree in computer science or related fields. Hands-on experience with frameworks and tools like TensorFlow, PyTorch, Scikit-learn, and familiarity with cloud platforms is highly desirable, and certifications such as AWS Certified Machine Learning can be advantageous. Analytical thinking, problem-solving, teamwork, and effective communication are important soft skills for success in both independent and collaborative settings. These skills and qualifications enable professionals to design, implement, and deploy AI solutions that address real-world business challenges.

What can you do with a computer science degree in AI?

A computer science degree in AI prepares individuals for roles such as AI engineer, machine learning engineer, data scientist, or research scientist. These roles involve developing algorithms, building intelligent systems, and working with tools like Python, TensorFlow, and neural networks to solve complex problems across industries like healthcare, finance, and technology.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as senior AI researchers, machine learning executives, or specialized data scientists, often in large tech companies or startups. These roles usually require advanced skills in deep learning, programming, and data analysis, along with significant experience and sometimes leadership responsibilities.

What is the salary of CS in AI?

The salary for a Computer Science professional specializing in Artificial Intelligence typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill level. Entry-level positions may start lower, while experienced AI engineers with advanced skills in machine learning and deep learning can earn higher salaries, especially in tech hubs.

What is a Computer Science Artificial Intelligence job?

A Computer Science Artificial Intelligence (AI) job involves developing, implementing, and improving AI technologies using machine learning, deep learning, and data analysis techniques. Professionals in this field work on algorithms, automation, and intelligent systems that can solve complex problems across industries like healthcare, finance, and robotics. Roles may include AI engineer, data scientist, or machine learning specialist, requiring strong programming skills in languages like Python and knowledge of AI frameworks.

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What cities are hiring for Computer Science Artificial Intelligence jobs? Cities with the most Computer Science Artificial Intelligence job openings:
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Computer Science Artificial Intelligence jobs near you
Infographic showing various Computer Science Artificial Intelligence job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.
Artificial Intelligence Intern

Artificial Intelligence Intern

Sabre Systems LLC

Lexington Park, MD • On-site

$14.50 - $19.50/hr

Other

Posted 12 days ago

Job description

Responsibilities

Sabre Systems is seeking a motivated and talented AI Intern to help our organization leverage AI across various business units. As an AI Intern, you will work closely with cross-functional teams to identify opportunities for AI integration, develop solutions, and support the implementation of AI-driven processes. This role offers a unique opportunity to gain hands-on experience in applying AI to real-world business challenges while contributing to the company’s strategic goals.

  • Collaborate with business units to identify opportunities for AI-driven improvements in operations, decision-making, and efficiency. 
  • Analyze existing workflows and processes to recommend AI solutions that align with business objectives. 
  • Assist in developing and deploying machine learning models tailored to specific business needs, such as predictive analytics, process automation, and optimization. 
  • Support the integration of AI tools and technologies into existing systems and workflows across departments. 
  • Conduct research on emerging AI trends and technologies to identify innovative solutions for business challenges. 
  • Work with stakeholders to define project requirements, success metrics, and implementation plans for AI initiatives. 
  • Create dashboards, reports, and visualizations to communicate insights and results from AI projects to non-technical stakeholders. 
  • Document AI project methodologies, outcomes, and lessons learned for knowledge sharing across the organization. 
  • Ensure compliance with data security, privacy, and ethical standards in all AI-related activities. 

Qualifications
  • Currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence, Business Analytics, or a related field. 
  • Strong understanding of machine learning concepts, algorithms, and frameworks. 
  • Proficiency in programming languages such as Python, R, or Java. 
  • Familiarity with AI tools and libraries, such as TensorFlow, PyTorch, or scikit-learn. 
  • Experience with data preprocessing, feature engineering, and visualization tools (e.g., Pandas, Matplotlib, Seaborn). 
  • Strong analytical skills and the ability to translate business needs into technical solutions. 
  • Excellent communication skills, with the ability to explain technical concepts to non-technical audiences. 
  • Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus.
  • Familiarity with business process automation using AI tools and natural language processing (NLP) 
  • Understanding of Agile development methodologies, project management tools

#LI-EN1


Compensation Statement
At Sabre Systems, LLC, compensation is based on factors such as location, qualifications, experience, and contract-specific requirements; however, final compensation will be determined by individual qualifications and applicable contract terms. The general salary range for this position is as follows: $20.00 - $20.00
Refer & Earn: Employee Referral Bonus Eligibility
This requisition is not bonus-eligible, but we still welcome and value your referrals. At Sabre Systems, we encourage employees to refer exceptional candidates. If you have any questions about the referral policy or this position, please contact the Recruiting team.
Sabre Overview

Sabre Systems, LLC, has been providing innovative technological solutions and services for Department of Defense, Federal Civilian, and commercial customers for more than 35 years. We support the ever-evolving areas of advanced communication technologies, cyber, systems and software engineering, and digital transformation.  

With over three decades in business, Sabre Systems, LLC remains committed to our small business values and a people-first philosophy. We foster a welcoming, inclusive culture that values diverse perspectives and encourages open communication. Our collaborative environment supports continuous learning and professional growth at all levels. We prioritize the health, well-being, and success of our employees, offering comprehensive, evolving benefits designed to meet their diverse needs. Join us and be part of a thriving, people-driven culture.

We respect the unique perspectives that a diverse workforce of minorities, women, individuals with disabilities, and protected veterans brings not only to our company, but also to our customers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity and sexual orientation), national origin, age, disability or genetic information.

 

EEO Minorities/Females/Disability/Veterans; VEVRAA Federal Contractor

Beware of employment scams—Sabre Systems will never request payment, extend offers without an interview, or contact you from an email that doesn’t end in @sabresystems.com; always apply directly at https://careers.sabresystems.com/. 

Qualifications:
  • Currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence, Business Analytics, or a related field. 
  • Strong understanding of machine learning concepts, algorithms, and frameworks. 
  • Proficiency in programming languages such as Python, R, or Java. 
  • Familiarity with AI tools and libraries, such as TensorFlow, PyTorch, or scikit-learn. 
  • Experience with data preprocessing, feature engineering, and visualization tools (e.g., Pandas, Matplotlib, Seaborn). 
  • Strong analytical skills and the ability to translate business needs into technical solutions. 
  • Excellent communication skills, with the ability to explain technical concepts to non-technical audiences. 
  • Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus.
  • Familiarity with business process automation using AI tools and natural language processing (NLP) 
  • Understanding of Agile development methodologies, project management tools

#LI-EN1

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