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Remote Artificial Intelligence Sales Jobs (NOW HIRING)

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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 25, 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:
Infographic showing various Remote Artificial Intelligence Sales job openings in the United States as of June 2026, with employment types broken down into 79% Full Time, 7% Part Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $48,349 per year, or $23.2 per hour.
Artificial Intelligence Architect

Other

Posted 4 days ago


Job description

Artificial Intelligence Architect

Duration: 02/03/2025 - 06/30/2025

Location: Denver, Colorado - 100% remote

Although a fully remote position, ideal candidate would be within the State of Colorado as there is possibility of converting this role to a full time

The AI Program Manager will be a key member of the Chief Data Office team, responsible for driving the strategy and execution of an AI framework within the state government. This role will require a unique blend of technical expertise, strategic vision, and leadership skills, including a close collaboration with OIT resources and agency stakeholders across various state departments to develop product roadmaps, govern AI use cases and ensure alignment with the broader state strategy serving Colorado residents. This role will lead the development and implementation of a comprehensive AI framework for the State, ensuring responsible and beneficial use of AI across government agencies.

Responsibilities:

The Chief Data Office (CDO) is seeking a skilled and motivated AI Lead role to spearhead the State of Colorado’s efforts in adopting and implementing artificial intelligence across government agencies. This role requires a unique blend of technical expertise, collaborative leadership and ability to drive program details. The AI Lead will be responsible for guiding the development and execution of AI initiatives, ensuring responsible use, fostering innovation, and maximizing the benefits of AI for Colorado residents.

AI Strategy and Implementation
  • Define and champion the vision, strategy and roadmap for AI adoption across state government, aligning with key priorities for Colorado residents
  • Collaborate with agency stakeholders and OIT resources to identify and prioritize AI opportunities that improve efficiency, service delivery, and citizen engagement.
AI Product and Technology Leadership
  • Collaborate with agency stakeholders and product managers to guide the development and deployment of AI solutions.
  • Provide expert advice and support to agencies on AI-related matters, including technology selection, data governance, and responsible AI practices.
  • Stay abreast of advancements in AI technologies, including GenAI, and provide guidance on their responsible application within government.
AI Governance and Compliance
  • Establish and enforce clear processes for AI project assessment, approval, testing, and monitoring to ensure alignment with state objectives and responsible AI principles.
  • Ensure compliance with relevant state and federal laws, regulations, and policies related to AI development and deployment.
  • Contribute to the development and refinement of AI-related policies and regulations to address emerging challenges and opportunities.
  • Proactively identify and mitigate potential biases and risks associated with AI systems to ensure fairness, equity, and accountability.
  • This role requires meticulous attention to detail in all aspects of AI implementation, governance processes, and product support.
GenAI Expertise:
  • Stay abreast of advancements in GenAI applications and techniques.
  • Understand the cost, data constraints, and potential biases associated with GenAI development and their influence on AI product development.
  • Assist engineers in evaluating GenAI solutions and vendors to ensure they meet the state's requirements for ethical AI and responsible use.
Stakeholder Engagement and Communication:
  • Build and maintain strong relationships with key stakeholders including agency leaders, service owners, technology experts, legal counsel, 3rd party vendors, and community representatives.
  • Facilitate cross-agency collaboration and knowledge sharing on AI initiatives.
  • Raise awareness of AI's potential benefits and risks within the state government.
  • Support training and education on AI products and responsible AI practices.
Champion Responsible AI:
  • Champion responsible AI development and deployment practices across state agencies.
  • Promote transparency and accountability in AI product development and deployment.
  • Reinforce human oversight of AI initiatives to maintain ethical and responsible use.
Attention to Detail:
  • This role requires meticulous attention to detail in all aspects of AI implementation, governance processes, and product support.
  • The AI Lead must be able to identify and address potential risks and inconsistencies in AI systems, data, and documentation to ensure accuracy, compliance, and ethical considerations are met.
Qualifications:
  • Education and Experience: Bachelor's degree in computer science, data science, or a related field.
    • 5+ years of experience in the field of artificial intelligence, including experience with machine learning, deep learning, natural language processing, and computer vision.
    • 5+ years of experience in a leadership role, with proven ability to develop and implement strategic initiatives.
    • Demonstrated experience in defining product vision, strategy, and roadmaps.
    • Experience in working with cross-functional teams, including engineers, data scientists, and business stakeholders.
    • Experience in product/program management, with a focus on technology or AI-driven products.
    • Experience working in the public sector or with government agencies is highly desirable.
  • Skills and Knowledge:
    • Deep understanding of AI use cases, technologies, ethical considerations, and policy implications.
    • Strong strategic & critical thinking and planning skills.
    • Attention to detail.
    • Strong technical and business communication skills, with the ability to translate complex technical concepts to non-technical audiences.
    • Excellent communication, interpersonal, and presentation skills.
    • Ability to build consensus and collaborate effectively with diverse stakeholders.
    • Knowledge of data governance, security, and privacy best practices.
    • Familiarity with relevant state and federal laws and regulations.
    • Understanding of responsible AI development principles, including fairness, transparency, and accountability.
    • Awareness of cost, and data constraints for GenAI development and their influence on AI product development.
    • Grant proposal development.