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Remote Chief Artificial Intelligence Officer Jobs

Our dedication to remote-first work, and strong culture of connection and global inclusion means ... We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every ...

Remote Work Environment - Our team is remote, offering full flexibility to work from home ... artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing ...

Remote Work Environment - Our team is remote, offering full flexibility to work from home ... artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing ...

$180K - $250K/yr

... Remote $180,000 - $250,000 a year We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and ...

If your background matches the Platform CEO role, we'd love to connect with you. Please submit your ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

As healthcare enters an era defined by digital transformation and artificial intelligence, the CMIO ... Remote: Open to applicants in the United States, excluding CA, IL, ND, NY, OH, WA, and WY. Heavy ...

As healthcare enters an era defined by digital transformation and artificial intelligence, the CMIO ... Remote: Open to applicants in the United States, excluding CA, IL, ND, NY, OH, WA, and WY. Heavy ...

Showing results 41-60

Remote Chief Artificial Intelligence Officer information

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$33K

$124.4K

$200.5K

How much do remote chief artificial intelligence officer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote chief artificial intelligence officer in the United States is $124,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,000.00 and $146,000.00 per year, depending on experience, location, and employer.

What is a remote chief artificial intelligence officer?

A Remote Chief Artificial Intelligence Officer (CAIO) is an executive responsible for setting and overseeing an organization’s AI strategy while working remotely. They lead the development, implementation, and governance of AI technologies and initiatives, ensuring these align with business goals and ethical standards. The CAIO collaborates with other executives to drive innovation, manage AI teams, and guide digital transformation from a distance. They also stay informed about the latest advancements in AI to recommend and oversee adoption of new solutions.

What is the difference between Remote Chief Artificial Intelligence Officer vs Remote Data Science Director?

AspectRemote Chief Artificial Intelligence OfficerRemote Data Science Director
CredentialsAdvanced degrees in AI, Computer Science, or related fields; leadership experienceAdvanced degrees in Data Science, Statistics, or related fields; managerial experience
Work EnvironmentStrategic leadership, overseeing AI initiatives across organizationsManaging data science teams, developing analytics projects
Industry UsageTech, finance, healthcare, and industries adopting AI strategiesTech, retail, finance, and sectors relying on data analytics
Search & Comparison IntentUnderstanding executive AI roles, strategic AI leadershipComparing senior data science roles, team management

The Remote Chief Artificial Intelligence Officer focuses on strategic AI leadership and organizational AI initiatives, while the Remote Data Science Director manages data science teams and analytics projects. Both roles require advanced degrees and leadership skills but differ in scope and focus within organizations adopting AI and data analytics.

What are the key skills and qualifications needed to thrive as a remote chief artificial intelligence officer?

To thrive as a Remote Chief Artificial Intelligence Officer, you need advanced expertise in AI/ML algorithms, data science, leadership, and a strong educational background in computer science or a related field, often supported by a master's or PhD. Familiarity with cloud platforms (e.g., AWS, Azure), AI frameworks (such as TensorFlow or PyTorch), and relevant certifications (like AWS Certified Machine Learning) is highly valuable. Outstanding communication, strategic thinking, and the ability to inspire cross-functional teams are crucial soft skills. These competencies ensure effective AI strategy formulation, seamless remote team management, and successful transformation of business objectives into technological solutions.

How does a remote chief artificial intelligence officer typically collaborate with cross-functional teams to drive AI initiatives?

A Remote Chief Artificial Intelligence Officer (CAIO) regularly partners with departments such as product development, IT, data science, and business strategy to align AI projects with organizational goals. This collaboration often involves leading virtual meetings, setting clear objectives, and ensuring that AI solutions are integrated seamlessly across business functions. The CAIO also mentors team members and fosters a culture of innovation while navigating challenges like time zone differences and remote communication. Effective collaboration is crucial for the successful deployment and adoption of AI-driven solutions throughout the company.
More about Remote Chief Artificial Intelligence Officer jobs
What cities are hiring for Remote Chief Artificial Intelligence Officer jobs? Cities with the most Remote Chief Artificial Intelligence Officer job openings:
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Infographic showing various Remote Chief Artificial Intelligence Officer job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% Remote job distribution, with an average salary of $124,409 per year, or $59.8 per hour.

Artificial Intelligence Engineer (Remote)

Eazifunds

San Francisco, CA • On-site, Remote

Full-time

Re-posted 19 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