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Remote Computer Science Artificial Intelligence Jobs

Bachelor's degree in computer science, data science, or a related field. * 5+ years of experience in the field of artificial intelligence, including experience with machine learning, deep learning ...

Research Scientist, Applied Science

Palo Alto, CA · On-site +1

$200K - $270K/yr

PhD (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Computational Biology, or a related technical field. * Proven track record in research and innovation ...

Research Scientist, Applied Science

Palo Alto, CA · On-site +1

$200K - $270K/yr

PhD (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Computational Biology, or a related technical field. * Proven track record in research and innovation ...

Artificial Intelligence (AI) Tutor

FL · Remote

$18 - $40/hr

... language processing, computer vision, reinforcement learning, search algorithms, knowledge ... science, and technology innovation careers. * Conceptual Teaching & Problem-Solving: Skilled at ...

Showing results 41-60

Remote Computer Science Artificial Intelligence information

See salary details

$83.5K

$102.5K

$135.5K

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

As of Sep 6, 2026, the average yearly pay for remote computer science artificial intelligence in the United States is $102,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $115,000.00 per year, depending on experience, location, and employer.

What is a remote computer science artificial intelligence professional?

Remote Computer Science Artificial Intelligence (AI) jobs involve working from a location outside of a traditional office to design, develop, and implement AI systems and algorithms. Professionals in this field use programming, data analysis, and machine learning techniques to solve complex problems in areas such as natural language processing, computer vision, and robotics. These roles often require strong knowledge of mathematics, statistics, and programming languages like Python or Java. Remote AI jobs offer flexibility and the opportunity to collaborate with global teams using digital communication tools.

How do remote computer science artificial intelligence professionals typically collaborate with team members across different time zones?

Remote AI professionals often work with global teams, requiring strong communication and collaboration skills. Teams frequently use project management tools, shared code repositories, and regular video meetings to stay aligned on goals and progress. Flexibility with meeting times and thorough documentation are essential for ensuring smooth collaboration. Building rapport through virtual channels and actively participating in discussions helps foster a sense of teamwork despite physical distance.

What are the key skills and qualifications needed to thrive as a remote computer science artificial intelligence professional, and why are they important?

To thrive as a Remote Computer Science Artificial Intelligence professional, you need a strong background in computer science fundamentals, mathematics, machine learning, and programming languages such as Python, often supported by a relevant degree. Familiarity with AI frameworks (like TensorFlow or PyTorch), cloud platforms, and version control systems is typically required, along with certifications in AI or data science. Excellent problem-solving, self-motivation, and effective remote communication skills help you stand out in distributed teams. These skills and qualities are crucial for developing robust AI solutions, collaborating virtually, and adapting to fast-evolving technologies.

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

AspectRemote Computer Science Artificial IntelligenceRemote Data Science
Required CredentialsBachelor's or higher in Computer Science, AI certificationsBachelor's or higher in Data Science, Statistics, or related fields
Work EnvironmentSoftware development, AI model training, algorithm designData analysis, visualization, statistical modeling
Employer & Industry UsageTech companies, research labs, AI startupsFinance, healthcare, e-commerce, tech firms
Common Search & ComparisonYesNo

Remote Computer Science Artificial Intelligence roles focus on developing AI algorithms, machine learning models, and software solutions. In contrast, Remote Data Science involves analyzing data, creating visualizations, and deriving insights. While both fields require strong technical skills and often similar educational backgrounds, their core responsibilities differ, making each suitable for different career interests within the tech industry.

More about Remote Computer Science Artificial Intelligence jobs

What cities are hiring for Remote Computer Science Artificial Intelligence jobs?

Cities with the most Remote Computer Science Artificial Intelligence job openings:

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

The most popular types of Computer Science Artificial Intelligence jobs are:

What states have the most Remote Computer Science Artificial Intelligence jobs?

States with the most job openings for Remote Computer Science Artificial Intelligence jobs include:

Infographic showing various Remote Computer Science Artificial Intelligence 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 $102,500 per year, or $49.3 per hour.

Subject Matter Expert - IT/Artificial Intelligence

Excelsior Collage

Remote

Part-time

Re-posted 25 days ago


Job description

Excelsior University is recruiting Subject Matter Experts (SME) on a contractual basis to support individual course development. The SME will have advanced knowledge and expertise in computer science and Artificial Intelegence. Courses to be developed or revised may include: (1) Machine Learning Foundations: Responsible AI Development (2) Natural Language Processing and Emerging Apps (3) Visonary Machines: Exploring Computer Vision Technologies (4) Responsible AI: Neural Networks and Deep Learning (5) Ethics Society, and Law in AI.
Reporting to the Department Chair, the SME plays a key role in the design and revision of course content. The SME works closely with the Department Chair, Learning Experience Designer, and other staff across the University during the course development process. The course development process lasts about 20-weeks/4.5 months, unless it is an expedited development. This timeline does not include the Excelsior onboarding and compliance training.
Duties and Responsibilities:
  • Update an existing course or design a new course based on area need, including program content and materials and/or delivery methods, and based on foundational knowledge, emerging practices, changes in the discipline, etc.
  • Align course development with course and program learning outcomes. Thematic areas may include:
  • Possess the ability to identify relevant learning resources and content.
  • Create engaging learning activities, assignments, and valid assessments of learning.
  • Ensure that the course curriculum aligns with Excelsior's justice, equity, diversity, and inclusion (JEDI) principles.
  • Commit to being available throughout an agreed upon course development timeline and able to meet project deadlines.
  • Participate in weekly or bi-weekly course development meetings.
  • Collaborate with the course development team throughout the design process.
  • Use the Excelsior University course shell as the framework for the course.
  • Write lectures, assignments, rubrics, and provide original content in an editable format.

Qualifications: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • An earned doctorate, or a master's degree and significant professional experience in the field, ideally in the field of computer science, or another field relevant, and a background in Data Science, to supporting the program and its courses.
  • Demonstrated significant industry and/or experience in the field of Artificial Intelligence.
  • Teaching experience at a two- or four-year degree granting institution in computer science or a related field preferred.
  • Familiarity with the development and implementation of curriculum and/or training computer science.

Remote applicants please be aware that the University is required to withhold New York state income taxes from your wages, as well as the state income tax, if applicable, in the state where you perform services. This is because of New York's "convenience of the employer" rule, which requires the University, as a New York employer, to withhold New York income tax from the wages of its employees working outside of New York if the employee's work is performed outside of New York for the convenience of the employee, rather than out of a business necessity of the University.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.