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Remote Artificial Intelligence Engineer Jobs (NOW HIRING)

L3HHCM20

Artificial Intelligence Specialist

Chantilly, VA · On-site +1

$109K - $203K/yr

Artificial Intelligence Specialist Job Code: 38585 Job Location: Palm Bay, FL OR Fort Wayne, IN OR ... This is an ideal opportunity for an engineer pursuing AI/ML application engineering, platform ...

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Remote Artificial Intelligence Engineer information

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$39K

$101.8K

$137.5K

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

As of Jul 1, 2026, the average yearly pay for remote 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 does a Remote Artificial Intelligence Engineer do?

A Remote Artificial Intelligence Engineer designs, develops, and implements AI models and systems while working from a location outside of a traditional office. Their responsibilities include building machine learning algorithms, analyzing large datasets, optimizing AI solutions, and collaborating with teams virtually. They may work on projects such as natural language processing, computer vision, or predictive analytics, often using programming languages like Python or frameworks like TensorFlow. Remote AI Engineers use digital communication tools to coordinate with colleagues and deliver innovative AI-powered solutions across various industries.

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

AspectRemote Artificial Intelligence EngineerRemote Data Scientist
Required CredentialsBachelor's or higher in CS, AI, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI models, algorithms, and systems remotelyAnalyzes data, builds predictive models remotely
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research organizations

Remote Artificial Intelligence Engineers focus on developing AI systems and algorithms, while Remote Data Scientists analyze data to generate insights. Both roles often require similar educational backgrounds and work remotely in tech-driven industries, but their core responsibilities differ in AI development versus data analysis.

How do Remote Artificial Intelligence Engineers typically collaborate with cross-functional teams?

Remote Artificial Intelligence Engineers frequently work with data scientists, software developers, and product managers through virtual meetings, collaborative platforms, and shared project management tools. Clear communication and documentation are essential to ensure alignment on project goals, data requirements, and deployment timelines. Regular check-ins and agile workflows help bridge the gap of physical distance, making teamwork efficient even when team members are spread across different locations.

What are the key skills and qualifications needed to thrive as a Remote Artificial Intelligence Engineer, and why are they important?

To thrive as a Remote Artificial Intelligence Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with AI frameworks. Proficiency in programming languages like Python, and familiarity with tools such as TensorFlow, PyTorch, and cloud platforms are typically required. Excellent problem-solving, communication, and self-management skills help you collaborate effectively with distributed teams and manage projects independently. These abilities are crucial for developing innovative AI solutions and ensuring smooth teamwork in a remote work environment.
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Remote Artificial Intelligence Engineer jobs near you
Artificial Intelligence Engineer (Remote)

Artificial Intelligence Engineer (Remote)

Eazifunds

San Francisco, CA • On-site, Remote

Full-time

Posted 14 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

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