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How much do remote artificial intelligence jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for remote artificial intelligence in the United States is $60.06, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $64.66 per hour, depending on experience, location, and employer.

What Are Remote Jobs in Artificial Intelligence?

If you are interested in artificial intelligence (AI), you can pursue a career as an engineer, programmer, or software developer. AI involves creating machines that perform human-like duties. Engineers and programmers often help develop and test software, and may utilize machine learning, which involves working with algorithms and models that a computer can use to complete a specific function without specific instruction. Some areas that use AI include agriculture, legal, retail, healthcare, education, banking, and transportation. Because these opportunities involve project development, many employers offer remote positions.

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

AspectRemote Artificial IntelligenceRemote Data Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; certifications in AI/MLDegree in Data Science, Statistics, or related fields; certifications in Data Analysis/ML
Work EnvironmentCollaborative teams, research labs, tech companiesData analysis teams, research institutions, tech firms
Industry UsageDeveloping AI models, machine learning algorithmsAnalyzing data, building predictive models
Search & Comparison IntentHigh overlap in skills and job functions, often compared in AI roles

Remote Artificial Intelligence and Remote Data Scientist roles share many skills, including data analysis, machine learning, and programming. However, AI roles focus more on developing intelligent systems and algorithms, while Data Scientists primarily analyze data to generate insights. Both roles are in high demand across tech industries and often require similar educational backgrounds and certifications.

What is a Remote Artificial Intelligence job?

A Remote Artificial Intelligence job involves working with AI technologies and systems, such as machine learning, natural language processing, or computer vision, from a location outside the traditional office environment. Professionals in these roles may design, develop, and deploy AI models or applications for various industries. Remote AI jobs often require strong technical skills in programming, data analysis, and AI frameworks, and can include positions like AI engineer, data scientist, or machine learning researcher. These roles enable individuals to collaborate with global teams and contribute to cutting-edge projects without being tied to a specific physical location.

What are some common challenges faced by professionals working remotely in Artificial Intelligence roles?

Remote Artificial Intelligence professionals often encounter challenges related to communication and collaboration, especially when working on complex projects that require input from cross-functional teams. Coordinating across different time zones and ensuring alignment on project goals can require extra effort and the use of collaboration tools. Additionally, staying updated with the latest AI research and maintaining access to necessary computing resources remotely may require proactive planning. Building a strong remote work routine and engaging in regular team meetings can help mitigate these challenges.

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

To thrive as a Remote Artificial Intelligence Specialist, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree or certifications. Familiarity with programming languages like Python, deep learning frameworks such as TensorFlow or PyTorch, and cloud platforms is typically required. Exceptional problem-solving, self-motivation, and effective communication skills help you collaborate across distributed teams and drive innovation. These abilities are vital for developing robust AI solutions and maintaining productivity in a remote work environment.
More about Remote Artificial Intelligence jobs
What cities are hiring for Remote Artificial Intelligence jobs? Cities with the most Remote Artificial Intelligence job openings:
What are the most commonly searched types of Artificial Intelligence jobs? The most popular types of Artificial Intelligence jobs are:
What states have the most Remote Artificial Intelligence jobs? States with the most job openings for Remote Artificial Intelligence jobs include:
What job categories do people searching Remote Artificial Intelligence jobs look for? The top searched job categories for Remote Artificial Intelligence jobs are:
Remote Artificial Intelligence jobs near you
Infographic showing various Remote Artificial Intelligence job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 71% Full Time, 10% Part Time, 3% Temporary, and 15% Contract. Highlights an 100% Remote job distribution, with an average salary of $124,929 per year, or $60.1 per hour.

Artificial Intelligence Software Engineer

4 Staffing Corp

Manhattan, NY • On-site, Remote

Other

Posted 5 days ago

Job description

Artificial Intelligence Software Engineer

New York, New York, United States Or refer someone Job Openings

About the Job Artificial Intelligence Software Engineer

Artificial Intelligence Software Engineer - Hybrid/Remote - NYC

No visa sponsorship available at this time.

Our client an up and coming innovative AI start-up is seeking a highly skilled and innovative Artificial Intelligence Software Engineer to join their dynamic team. In this role, you will be responsible for designing, developing, and implementing AI algorithms and software solutions to solve complex problems across various domains. The ideal candidate will have a strong background in machine learning, deep learning, and software development, with a passion for pushing the boundaries of AI technology.

Responsibilities:

  • Collaborate with cross-functional teams to understand project requirements and develop AI-driven solutions tailored to specific applications.
  • Design and implement machine learning algorithms and models for tasks such as classification, regression, clustering, and natural language processing.
  • Develop and optimize neural networks and deep learning architectures for tasks such as image recognition, speech recognition, and recommendation systems.
  • Collect, preprocess, and analyze large datasets to train and evaluate AI models, ensuring robust performance and generalization.
  • Implement scalable and efficient software solutions for deploying AI models in production environments, including cloud-based platforms and edge devices.
  • Collaborate with software engineers to integrate AI capabilities into existing software systems and develop AI-driven features and products.
  • Research and evaluate emerging technologies and techniques in machine learning and AI, staying abreast of advancements in algorithms, frameworks, and tools.
  • Document design specifications, implementation details, and best practices for internal and external stakeholders.
  • Provide technical guidance and mentorship to junior engineers and contribute to the overall technical expertise of the team.

Requirements:

  • Bachelor's degree in Computer Science, Electrical Engineering, or related field. Master's or Ph.D. preferred.
  • Proven experience in machine learning, deep learning, and AI software development, with a minimum of 3 years in a relevant role.
  • Proficiency in programming languages such as Python, Java, or C++, and experience with AI frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Strong understanding of machine learning algorithms, including supervised learning, unsupervised learning, and reinforcement learning.
  • Experience with deep learning techniques and architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer models.
  • Familiarity with software engineering best practices, including version control, testing, and code review.
  • Excellent problem-solving skills and the ability to analyze complex technical challenges and propose innovative solutions.
  • Strong communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.
  • Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

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