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Remote International Artificial Intelligence Engineer information

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$39K

$101.8K

$137.5K

How much do remote international artificial intelligence engineer jobs pay per year?

As of Jul 19, 2026, the average yearly pay for remote international artificial intelligence engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote International Artificial Intelligence Engineer vs Remote International Data Scientist?

AspectRemote International Artificial Intelligence EngineerRemote International Data Scientist
Required CredentialsBachelor's or higher in CS, AI, or related; experience with AI frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI models, algorithms, and systems remotelyAnalyzes data, builds models, and visualizes insights remotely
Employer & Industry UsageTech companies, AI startups, R&D departmentsData-driven companies, consulting firms, research institutions

While both roles require strong technical skills and remote work capabilities, the AI Engineer focuses on developing and deploying AI systems, whereas the Data Scientist emphasizes data analysis and insights. Both are in high demand globally, often within tech and research industries.

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Remote International Artificial Intelligence Engineer jobs near you
Infographic showing various Remote International Artificial Intelligence Engineer job openings in the United States as of July 2026, with employment types broken down into 80% Full Time, 16% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.
Artificial Intelligence Engineer (Remote)

Artificial Intelligence Engineer (Remote)

Eazifunds

San Francisco, CA • On-site, Remote

Full-time

Posted yesterday

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

Apply