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Remote Artificial Intelligence Sales Jobs (NOW HIRING)

GXM Consulting

Artificial Intelligence (AI) Lead Tester

$48.50 - $66.25/hr

GXM Technologies is seeking an Artificial Intelligence (AI) Lead Tester to provide both hands-on ... This position is Remote with Ad-Hoc travel possible but not expected. Responsibilities * Manage and ...

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Remote Artificial Intelligence Sales information

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How much do remote artificial intelligence sales jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for remote artificial intelligence sales in the United States is $23.24, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $28.37 per hour, depending on experience, location, and employer.

What is a Remote Artificial Intelligence Sales job?

A Remote Artificial Intelligence (AI) Sales job involves selling AI products or services to clients, typically from a remote location rather than a traditional office. Professionals in this role identify potential customers, demonstrate the value of AI solutions, and guide them through the purchasing process. They often work closely with technical teams to understand product features and tailor solutions to meet client needs. Strong communication, technical understanding, and the ability to build relationships virtually are key to success in this field.

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

To thrive in Remote Artificial Intelligence Sales, you need a solid understanding of AI concepts, strong sales acumen, and experience with B2B sales, often supported by a relevant degree or sales certifications. Familiarity with CRM software, AI platforms, and sales enablement tools is typically required. Exceptional communication, relationship-building, and self-motivation are crucial soft skills for success in a remote setting. These competencies enable you to effectively convey complex AI solutions to clients, drive sales growth, and build lasting partnerships in a competitive, tech-driven market.

What are some common challenges faced by professionals in Remote Artificial Intelligence Sales, and how can they be overcome?

One common challenge in Remote AI Sales is effectively communicating the value and technical aspects of AI solutions to clients who may not be familiar with the technology. Overcoming this often requires strong consultative selling skills and the ability to translate complex concepts into business benefits. Additionally, working remotely can make it harder to build relationships, so leveraging virtual meeting platforms and maintaining proactive communication is essential. Successful professionals also collaborate closely with product and technical teams to ensure they are providing accurate, up-to-date information to prospective clients.

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

AspectRemote Artificial Intelligence SalesRemote Data Sales
Required CredentialsBachelor's in Business, Tech, or related field; knowledge of AI conceptsBachelor's in Data Science, Business, or related field; understanding of data analytics
Work EnvironmentRemote, client-facing, sales-focusedRemote, client-focused, data-driven sales
Industry UsageTech companies, AI startups, software providersData providers, analytics firms, tech companies
Search & Comparison IntentHigh overlap in sales skills, AI knowledge, remote workSimilar sales skills, data expertise, remote setup

Remote Artificial Intelligence Sales and Remote Data Sales share common skills like sales expertise and remote work environment. However, AI sales emphasizes understanding artificial intelligence concepts, while data sales focuses on data analytics and data-driven solutions. Both roles are vital in tech industries and often overlap in client engagement and technical knowledge.

More about Remote Artificial Intelligence Sales jobs
What cities are hiring for Remote Artificial Intelligence Sales jobs? Cities with the most Remote Artificial Intelligence Sales job openings:
What are the most commonly searched types of Artificial Intelligence Sales jobs? The most popular types of Artificial Intelligence Sales jobs are:
What states have the most Remote Artificial Intelligence Sales jobs? States with the most job openings for Remote Artificial Intelligence Sales jobs include:
What job categories do people searching Remote Artificial Intelligence Sales jobs look for? The top searched job categories for Remote Artificial Intelligence Sales jobs are:
Remote Artificial Intelligence Sales jobs near you
Infographic showing various Remote Artificial Intelligence Sales job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $48,349 per year, or $23.2 per hour.

Artificial Intelligence Software Engineer

4 Staffing Corp

Manhattan, NY • On-site, Remote

Other

This job post has expired today. Applications are no longer accepted.

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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