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Remote Computer Science Artificial Intelligence Jobs

Intern , Artificial Intelligence

Melbourne, FL ยท On-site +1

$22.50 - $41/hr

Pursuing a Master's Degree in Artificial Intelligence, Computer Engineering, Computer Science, Mathematics, or related technical degree at an accredited university. Preferred Additional Skills:

Intern , Artificial Intelligence

Rochester, NY ยท On-site +1

$22.50 - $41/hr

Pursuing a Master's Degree in Artificial Intelligence, Computer Engineering, Computer Science, Mathematics, or related technical degree at an accredited university. Preferred Additional Skills:

Computer Scientist, Mid

Aurora, CO ยท On-site +1

$69K - $158K/yr

Remote Work: No Job Number: R0246464 Location: Aurora,CO,US Share job via: Share Computer Scientist ... learning, and artificial intelligence. If you care about moving a mission forward as much as ...

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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.

Intern , Artificial Intelligence

L3HHCM20

Melbourne, FL โ€ข On-site, Remote

$22.50 - $41/hr

Full-time, Internship

Medical, Retirement, PTO

Posted 9 days ago


Job description

Job Title: Intern,Artificial Intelligenceย 

Job Code: 43406

Job Location:Melbourne, FL or Rochester, NYย 

Job Schedule: 9/80:Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off

Job Description:ย 

  • Work closely with current team members to support development of machine learning solutions using data-driven models
  • Contribute to the improvement of MLOps and data pipelines with the current team
  • Work with multi-domain datasets and phenomenologies to develop effective data plans
  • Perform data curation and exploratory data analysis
  • Support proper regression testing, validation, and documentation of ML models
  • Identify relevant pre-trained models and collaborate with team to integrate into solution pipelines
  • Identify state-of-the-art (SotA) foundation models and advocate for use in larger AI solutions
  • Implement, maintain, and optimize containerization for seamless deployment, scaling of AI / ML workloads, and sharing with other teams for easy reproductionย ย 

ย Qualifications:

  • Pursuing a Master's Degree in Artificial Intelligence, Computer Engineering, Computer Science, Mathematics, or related technical degree at an accredited university.ย 

Preferred Additional Skills:

  • Experience with Differentiable Programming libraries (e.g., PyTorch, TensorFlow)
  • Experience with Database Manipulation libraries (e.g., SQL, NoSQL, Pandas, PySpark)
  • Experience with Python and building Virtual Environments (e.g., Conda, UV, Docker)
  • Experience developing models using classical and SotA Machine Learning
  • Experience maintaining training and inference infrastructure for ML models

PAY TRANSPARENCY:In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $25.50 - $48.00 per hour. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $22.50 - $41.00 per hour. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, educationassistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.ย