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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.

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Remote Artificial Intelligence Sales jobs near you
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 (AI) Engineer

GSI Environmental Inc.

Houston, TX • On-site, Remote

Full-time

Re-posted 13 days ago

Job description

Position Overview

GSI Environmental Inc. (GSI) seeks a highly innovative AI Engineer to join our growing team and help how artificial intelligence, automation, and modern business systems shape the way our firm operates. In this role, you will design and deliver AI-powered applications, automations, dashboards, and data-driven tools that boost productivity across every part of the organization.

You'll partner closely with both our technical project teams and corporate departments to find where emerging technology can simplify workflows, sharpen decision-making, and eliminate repetitive manual tasks. This role will provide a rare opportunity to build a function from the ground up, harnessing the power of AI to help solve complex environmental problems.  

About Us

We are a privately held, employee-owned company offering superior compensation, benefits, and professional development. GSI is highly respected nationally and internationally for the quality of its professional environmental services and the technically advanced projects it has completed over its 40 years of operation. GSI leadership promotes a collaborative, fun, and growth-oriented workplace, resulting in strong staff retention and high client satisfaction.  

GSI employs cross-disciplinary teams of environmental engineers and scientists focused on bringing innovative solutions to our clients’ toughest environmental challenges pertaining to water resources, air quality, land restoration, sustainability, renewable energy, ecological services, data science, toxicology, and energy and critical minerals production. Headquartered in Houston, Texas, GSI operates 13 offices across nine states, Texas, California, Colorado, Washington, Montana, Georgia, North Carolina, Virginia, and New York, with additional remote staff located throughout the United States. Our talented staff of environmental professionals performs projects nationwide and internationally.  

Key Responsibilities

AI & Application Development

  • Design, develop, and deploy AI-powered applications, assistants, and workflows that solve real business and environmental problems.
  • Develop custom internal software, portals, and applications that improve operational efficiency.
  • Evaluate new AI platforms, large language models (LLMs), and automation technologies, and rapidly prototype high-value use cases.

Data, Analytics & Integration

  • Build dashboards and business intelligence tools that deliver actionable insight to leadership and project teams.
  • Integrate business and technical systems through APIs, databases, and cloud services.
  • Support data management, reporting, and analytics initiatives—including work with scientific, financial, and regulatory data.

Automation & Enablement

  • Create automated workflows that reduce manual effort and streamline business processes.
  • Train and support employees in adopting new AI tools, and champion a culture of practical, responsible AI use.

Governance & Strategy

  • Develop AI governance standards and best practices that ensure secure, ethical, and responsible use of emerging technologies—particularly important given GSI's confidential client, litigation, and government project data.
  • Partner with IT and leadership to establish a long-term technology and innovation roadmap.
Location

This position is preferably based at or near one of GSI's offices, with our Houston headquarters as the ideal location. Hybrid or remote arrangements will be considered for exceptionally qualified candidates.

Qualifications/Experience
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related field.
  • Ability to develop software applications, automation tools, business intelligence solutions, or AI-enabled technologies.
  • Hands-on experience with Generative AI, LLMs, AI agents, or machine learning technologies.
  • Strong programming skills in Python, SQL, JavaScript, C#, or similar languages.
  • Experience building dashboards and analytics with Power BI, Tableau, or comparable platforms.
  • Experience integrating systems via APIs, databases, and cloud technologies.
  • Strong grasp of data architecture, security, governance, and software development best practices.
  • Proven ability to translate complex business problems into practical technology solutions.
  • Excellent communication skills, with the ability to explain technical concepts to non-technical audiences.
  • Experience with Microsoft Power Platform (Power Apps, Power Automate, Power BI) or similar low-code tools—GSI is a Microsoft 365 environment.
  • Experience building LLM/RAG applications, document automation, or AI assistants for knowledge work.
  • A passion for continuous learning and staying current with rapidly evolving AI technologies.
  • A passion for the environment is a strong plus! 

Apply