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Ai Computer Science Jobs (NOW HIRING)

Adobe, Inc.

Computer Scientist

San Jose, CA · On-site

M.S., or PhD degree in Computer Science or a related field. * Experience with computer vision, computational photography, and/or modern AI applied to these fields. * An interest in applying your ...

Adobe

Computer Scientist

San Jose, CA

M.S., or PhD degree in Computer Science or a related field. * Experience with computer vision, computational photography, and/or modern AI applied to these fields. * An interest in applying your ...

Asurion

REQUIRED EDUCATION & EXPERIENCE Advanced degree in Computer Science, AI, Machine Learning, Statistics, or related field, or equivalent experience. 12+ years leading applied AI, machine learning, or ...

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$50.5K

$111.3K

$137.5K

How much do ai computer science jobs pay per year?

As of Aug 26, 2026, the average yearly pay for ai computer science 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.

What is AI in computer science?

AI, or Artificial Intelligence, in computer science refers to the simulation of human intelligence by machines, especially computer systems. It involves creating algorithms and software that allow computers to perform tasks that typically require human intelligence, such as learning, reasoning, problem-solving, perception, and language understanding. AI encompasses various subfields, including machine learning, natural language processing, robotics, and computer vision. The goal of AI is to build systems that can function autonomously and improve over time through experience.

What are the typical challenges faced when working on AI projects within a computer science team?

One common challenge in AI computer science roles is managing the balance between research and practical implementation. Teams often face difficulties with limited or imperfect datasets, ensuring models generalize well beyond training data, and integrating AI solutions into existing systems. Collaboration with data engineers, domain experts, and product managers is crucial to ensure the developed AI solutions align with business objectives and user needs. Additionally, staying updated with rapidly evolving AI technologies and addressing ethical considerations are ongoing parts of the role.

What are the key skills and qualifications needed to thrive as an AI computer scientist, and why are they important?

To thrive as an AI Computer Scientist, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree or higher qualifications. Proficiency in programming languages such as Python, experience with AI frameworks like TensorFlow or PyTorch, and familiarity with data analysis tools are essential. Critical thinking, creativity, and strong collaboration skills help drive innovation and effective problem-solving in cross-functional teams. These competencies are vital for developing advanced AI solutions and ensuring their successful real-world application.

What is the difference between Ai Computer Science vs Data Scientist?

AspectAi Computer ScienceData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related fields; certifications in AI/MLBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentResearch labs, tech companies, AI startupsBusiness environments, analytics teams, tech firms
Industry UsageDeveloping AI algorithms, machine learning models, AI systemsAnalyzing data, building predictive models, data visualization

Ai Computer Science focuses on developing AI algorithms and systems, often requiring advanced technical skills in machine learning and programming. Data Scientists analyze data to extract insights, build models, and support decision-making. While both roles involve machine learning, Ai Computer Science is more research and development-oriented, whereas Data Scientists focus on applying data analysis techniques to solve business problems.

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

The most popular types of Ai Computer Science jobs are:

What states have the most Ai Computer Science jobs?

States with the most job openings for Ai Computer Science jobs include:

ai computer science jobs near you
Infographic showing various Ai Computer Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.

NIST PREP AI Computer Scientist

Southeastern Universities Research Association

Gaithersburg, MD • On-site

$80K - $150K/yr

Full-time

Posted 9 days ago

Job description

This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.
Research Title: AI Computer Scientist
The work will entail: Perform research, develop test software, and develop test methodologies focused on AI computing to enable measurement science. Advance the Institute's artificial intelligence (AI) mission through cutting-edge research, tool development, and measurement science. Serve as a technical expert in AI, applying deep knowledge of machine learning, deep learning, natural language processing, and/or other AI sub-disciplines to design, develop, and evaluate AI systems and methodologies that address critical measurement and standards challenges. Conducts original research, developing novel AI-driven tools and benchmarks.
Key responsibilities will include but are not limited to:
  • Technical contributor to address major AI national challenges
  • Build AI research prototypes to evaluate possible solutions
  • Perform technical analysis of AI evaluation alternatives
  • Actively participate in strategic AI discussions
  • Brainstorm and suggest novel ideas to solve AI challenges

Qualifications
  • U.S. Citizen Preferred
  • A Bachelor's degree in Computer Science, Engineering, or a related field.
  • Familiarity and experience with computer programming and tool development to solve key Artificial Intelligence (AI) measurement science challenges.
  • Familiarity and experience with core AI technical skills such as machine learning and deep learning
  • Familiarity with statistical data analysis and experimental design
  • Strong oral and written communication skills.

Privacy Act StatementAuthority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
PREP0005091, PREP0005191, PREP0005192, PREP0005193

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