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Remote Artificial Intelligence Sales Jobs (NOW HIRING)

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

As of Sep 1, 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 professional?

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?

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:

Infographic showing various Remote Artificial Intelligence Sales job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $48,349 per year, or $23.2 per hour.

Artificial Intelligence Engineer

Washington, DC โ€ข Remote

MKS2 Technologies
51 - 200 employees

$180K - $210K/yr

Full-time

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

MKS2 Technologies, LLC, an award-winning high growth small business, creates innovative and customer-centric technology solutions in the areas of Cyber Security, Instructional Design and Training, Software Engineering and IT Support Services to improve the security and well-being of our clients. Our commitment to excellence and our "Mission First" orientation has resulted in steady growth and an expanding client base across government agencies. We have employees nationwide and for the past three consecutive years were named one of the fastest growing Veteran-owned companies in the nation. Please take a moment to browse through our website and learn more about what it means to serve with MKS2.


Artificial Intelligence Engineer (Key Personnel)

Location: Remote (Supporting Eastern Time Zone)
Employment Type: Full-Time
Security Requirement: Tier 4 / High Risk Background Investigation
Travel: Approximately two trips per year (seven trips over the life of the contract)

Salary Range: $180,000-$210,000

Position Overview

MKS2 is seeking an experienced Artificial Intelligence Engineer (Key Personnel) to support the development, implementation, and optimization of advanced AI and machine learning solutions for a federal government program. This role will serve as a technical leader responsible for designing, building, training, deploying, and maintaining AI-driven systems that address complex business and mission requirements. The ideal candidate will possess deep expertise in artificial intelligence, machine learning, data science, software engineering, and cloud-based technologies within large enterprise or government environments.

The Artificial Intelligence Engineer will collaborate closely with data scientists, software engineers, cybersecurity professionals, stakeholders, and government leadership to develop innovative solutions that drive operational efficiency, decision-making, and mission outcomes.

Key Responsibilities
  • Design, develop, deploy, and maintain enterprise-scale artificial intelligence and machine learning solutions.
  • Lead the creation of predictive models, natural language processing applications, generative AI solutions, and advanced analytics platforms.
  • Develop and implement machine learning algorithms and model architectures for real-world business challenges.
  • Build and optimize data pipelines, feature engineering processes, and model training environments.
  • Evaluate emerging AI technologies and recommend innovative solutions to enhance mission performance.
  • Ensure AI solutions align with security, privacy, compliance, and governance requirements.
  • Collaborate with cross-functional teams including software developers, cybersecurity specialists, data engineers, and business stakeholders.
  • Support cloud-based AI deployments and model operationalization activities.
  • Conduct model validation, performance monitoring, and continuous improvement initiatives.
  • Provide technical guidance, mentorship, and thought leadership on AI strategies and capabilities.
  • Develop technical documentation, architecture diagrams, implementation plans, and executive briefings.
  • Participate in program reviews, stakeholder meetings, and technical working groups.
Required Experience
  • Minimum of 10 years of experience in information technology security, data science, software engineering, or related technical disciplines.
  • At least 5 years of experience designing, developing, or deploying artificial intelligence or machine learning systems within enterprise or government environments.
  • Experience delivering AI-enabled solutions for large organizations or federal agencies similar in size and complexity to the Department of Veterans Affairs (VA), Department of Defense (DoD), Internal Revenue Service (IRS), or General Services Administration (GSA).
  • Demonstrated experience implementing AI and machine learning solutions in production environments.

Substitution:

  • A PhD in Information Technology Security, Data Science, Software Engineering, or a related discipline may substitute for up to five years of the required experience.
Required Education

Master's degree in one of the following disciplines:

  • Artificial Intelligence
  • Business Administration
  • Business Management
  • Cybersecurity
  • Computer Science
  • Information Systems
  • Information Assurance
  • Information Security
  • Information Resource Management
  • Related field
Required Certifications

Must possess one or more of the following:

  • Information Assurance Technician (IAT) Level III
  • Information Assurance Management (IAM) Level III
  • Information Assurance System Architect and Engineer (IASAE) Level III
Required Expertise
  • Extensive experience working on data science, machine learning, and artificial intelligence projects.
  • Experience building, training, testing, and deploying machine learning models in production environments.
  • Expertise collaborating with multidisciplinary teams including data scientists, software engineers, architects, cybersecurity personnel, and business stakeholders.
  • Strong understanding of data preparation, data quality, cleansing, transformation, and feature engineering techniques.
  • Experience applying AI technologies to complex business and mission challenges.
  • Knowledge of responsible AI principles, model governance, security considerations, and ethical AI practices.
  • Experience supporting federal government organizations or large enterprise environments.
  • Hands-on experience with AI frameworks, machine learning libraries, and cloud-based AI services.
  • Strong analytical, problem-solving, and communication skills.
Security Requirement
  • Must be able to successfully complete and maintain a Tier 4 / High Risk Background Investigation.
Place of Performance
  • Remote position supporting Eastern Time Zone operations.
  • Meetings and coordination activities may occur at the Department of Veterans Affairs Central Office (VACO), 811 Vermont Avenue NW, Washington, DC.
  • Routine onsite support is not anticipated.
Hours of Operation
  • Available during standard Federal Government business days.
  • Must be responsive during core business hours of 8:00 AM to 5:00 PM Eastern Time.
Travel Requirements
  • Support program-related meetings and events as required.
  • Government anticipates approximately two trips per year, totaling seven trips across the contract period.
Why Join MKS2?

At MKS2, we partner with federal agencies to deliver innovative technology solutions that improve mission outcomes and enhance operational effectiveness. Our team is committed to excellence, collaboration, and continuous innovation while supporting some of the nation's most important programs. This role offers the opportunity to help shape the future of artificial intelligence within the federal government sector while working in a highly collaborative and mission-driven environment.


Diversity creates a healthier atmosphere: MKS2 Technologies is proud to be an Equal Employment Opportunity / Affirmative Action employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.