2

Remote Computer Science Artificial Intelligence Jobs in California

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field; advanced degrees preferred. * Minimum of 7 years experience in AI strategy development ...

Senior Gen AI Developer

El Segundo, CA · On-site +1

$182K - $228K/yr

KBR is seeing a Senior Gen AI Developer to join our team in El Segundo, CA (remote). The MILSATCOM ... Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related ...

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. * Proven experience working with large language models such as GPT, BERT, or similar frameworks.

... Computer Science instructors to work with students in grades 9-12. Tutors will work closely with ... A passion for helping others learn Benefits * $30-$35/hr. commensurate * 100% remote * Flexible ...

... data science, and computer science to help us develop a software framework for designing and ... artificial intelligence approaches using the data. Successful candidates will continue into ...

Manager, Applied Computing

Hawthorne, CA · On-site +1

$190K - $245K/yr

Bachelor's degree in computer science, artificial intelligence, data science, engineering, or ... Remote and/or hybrid work will not be considered. COMPENSATION AND BENEFITS: Pay Range: Manager ...

next page

Showing results 1-20

Remote Computer Science Artificial Intelligence information

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.

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 Remote Computer Science Artificial Intelligence jobs?

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.

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 most commonly searched types of Computer Science Artificial Intelligence jobs in California? The most popular types of Computer Science Artificial Intelligence jobs in California are:
What are popular job titles related to Remote Computer Science Artificial Intelligence jobs in California? For Remote Computer Science Artificial Intelligence jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Artificial Intelligence jobs in California look for? The top searched job categories for Remote Computer Science Artificial Intelligence jobs in California are:
What cities in California are hiring for Remote Computer Science Artificial Intelligence jobs? Cities in California with the most Remote Computer Science Artificial Intelligence job openings:
Infographic showing various Remote Computer Science Artificial Intelligence job openings in California as of May 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 100% Remote job distribution.
Artificial Intelligence Engineer (Remote)

Artificial Intelligence Engineer (Remote)

Eazifunds

San Francisco, CA • On-site, Remote

Full-time

Posted 11 days ago


Job description

The Role:
We’re looking for an experienced artificial intelligence engineer to join the revolution, using deep learning, neuro-linguistic programming (NLP), LLM, computer vision, robotic process automation, human in the loop, decision-making engines, chatbots, and robotics to help us improve various business outcomes and drive innovation. The engineer will join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. This is an excellent opportunity to take advantage of emerging trends and technologies and make a real-world difference.

Objectives of this role:
1. Manage and direct processes and R&D (research and development) to meet the needs of our AI strategy
2. Understand company and client challenges and how integrating AI capabilities can help lead to solutions
3. Lead cross-functional teams in identifying and prioritizing key areas of a partner’s business where AI solutions can drive significant business benefit
4. Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards
Responsibilities:
1. Advise C-suite executives and business leaders on a broad range of technology, strategy, and policy issues associated with AI
2. Work on functional design, process design (including scenario design and flow mapping), prototyping, testing, training, and defining support procedures in collaboration with an advanced engineering team and executive leadership
3. Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation
4. Manage a team in conducting assessments of the AI and automation market and competitor landscape
5. Serve as liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation
Requirement skills and qualifications:
1. Two or more years of experience in applying AI to practical and comprehensive technology solutions
2. Experience with ML, deep learning, TensorFlow, Python, and NLP
3. Experience in program leadership, governance, and change enablement
5. Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
6. Experience in REST API development, NoSQL database design, and RDBMS design and optimization
Plus:
1. A bachelor's or master's degree in computer science or related field
2. Experience with innovation accelerators
3. Experience with cloud environments
What we can offer:
1. Salary
2. Stock options
3. Performance-Based Bonus
4. Employee Benefits