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Remote Computer Science Artificial Intelligence Jobs

Vultus Inc

Machine Learning Engineer

Honolulu, HI · On-site +1

$110K - $145K/yr

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a ... Experience 3-6 Years Employment Type Full-Time Work Location Remote / Hybrid / On-site Salary Range ...

STI

Artificial Intelligence ("AI") Architect

Denver, CO · On-site +1

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 ...

GenBio AI

Research Scientist, Applied Science

Palo Alto, CA · On-site +1

$175K - $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 ...

GenBio AI

Research Scientist, Applied Science

Palo Alto, CA · On-site +1

$175K - $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 ...

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Remote Computer Science Artificial Intelligence information

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$83.5K

$102.5K

$135.5K

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

As of Aug 16, 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 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.

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 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.
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Remote Computer Science Artificial Intelligence jobs near you
Infographic showing various Remote Computer Science Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% Remote job distribution, with an average salary of $102,500 per year, or $49.3 per hour.

Symbolic AI Specialist - Fully Remote | Upto $80/hr

Mercor

San Francisco, CA • Remote

$80/hr

Full-time

Re-posted 15 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Automated CS Planning PhDs & Domain Experts — Zion (Arches)
Type: Contract
Compensation: $55–$80/hour
Location: Remote

Role Responsibilities

  • Develop high-quality data for state-of-the-art large language models by creating complex problems in your domain.
  • Evaluate and improve AI model performance through rigorous problem-solving and data analysis.
  • Collaborate with AI research teams to enhance the quality and applicability of training data.
  • Work independently and asynchronously to meet project deadlines and goals.
  • Provide expert insights into automated planning and symbolic AI to inform future AI innovations.

Qualifications

Must-Have

  • PhD or advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or Operations Research.
  • Focus on automated planning / symbolic AI.
  • High attention to detail.
  • Exceptional written and verbal communication skills.

Interview Process

  • Complete a short interview and task (20–30 mins).
  • Paid for up to 1 hour of onboarding time including videos if hired.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.