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Remote Artificial Intelligence Marketing Jobs (NOW HIRING)

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Remote Artificial Intelligence Marketing information

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How much do remote artificial intelligence marketing jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote artificial intelligence marketing in the United States is $47,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $53,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote artificial intelligence marketing specialist?

To thrive as a Remote Artificial Intelligence Marketing Specialist, you need a solid background in digital marketing principles, data analysis, and AI-driven campaign strategies, often supported by a degree in marketing or a related field. Familiarity with marketing automation platforms, analytics tools (like Google Analytics), and AI-based software such as chatbots or predictive analytics systems is commonly required. Strong communication, creativity, and adaptability are vital soft skills for collaborating remotely and innovating in a fast-evolving landscape. These competencies enable professionals to design effective, data-driven marketing campaigns that leverage AI for maximum impact and efficiency.

How do remote artificial intelligence marketing specialists typically collaborate with cross-functional teams to implement campaigns?

Remote AI marketing professionals often work closely with data scientists, software engineers, designers, and product managers to design and execute data-driven campaigns. Collaboration is facilitated through project management tools, regular video meetings, and shared analytics dashboards. Clear communication and documentation are essential to ensure alignment on campaign goals, AI model integration, and performance tracking. This collaborative approach helps teams stay agile and responsive to market trends, even when working from different locations.

What is the difference between Remote Artificial Intelligence Marketing vs Remote Data Analyst?

AspectRemote Artificial Intelligence MarketingRemote Data Analyst
Required CredentialsMarketing degrees, AI certifications, data analysis skillsStatistics, data analysis, programming certifications
Work EnvironmentMarketing teams, AI development projects, digital platformsData sets, analytics tools, reporting environments
Employer & Industry UsageTech companies, marketing agencies, e-commerceFinance, healthcare, retail, tech firms
Search & Comparison IntentUnderstanding roles in AI-driven marketingAnalyzing data for insights and decision-making

Remote Artificial Intelligence Marketing professionals focus on leveraging AI tools to optimize marketing strategies, while Remote Data Analysts interpret data to inform business decisions. Both roles require analytical skills and familiarity with data tools, but their primary focus and industry applications differ.

What is a remote artificial intelligence marketing specialist?

A Remote Artificial Intelligence (AI) Marketing job involves using AI technologies to create, analyze, and optimize marketing strategies and campaigns, all while working from a location outside of a traditional office. Professionals in this role use machine learning, data analytics, and automation tools to better understand customer behavior, personalize marketing efforts, and improve campaign performance. Common tasks include analyzing data, segmenting audiences, developing AI-driven marketing tools, and reporting on campaign effectiveness. Remote AI marketers often collaborate with teams online and use digital tools to execute their projects efficiently.
More about Remote Artificial Intelligence Marketing jobs
What cities are hiring for Remote Artificial Intelligence Marketing jobs? Cities with the most Remote Artificial Intelligence Marketing job openings:
What are the most commonly searched types of Artificial Intelligence Marketing jobs? The most popular types of Artificial Intelligence Marketing jobs are:
What states have the most Remote Artificial Intelligence Marketing jobs? States with the most job openings for Remote Artificial Intelligence Marketing jobs include:
Infographic showing various Remote Artificial Intelligence Marketing job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $47,471 per year, or $22.8 per hour.

Artificial Intelligence (AI) Engineer

GSI Environmental Inc.

Houston, TX โ€ข On-site, Remote

Full-time

Posted 19 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.ย Thisย role willย provideย a rare opportunity to build a function from the ground up,ย harnessing the power of AI to help solveย complex environmental problems.ย ย 

About Us

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

GSIย employsย cross-disciplinary teams of environmental engineers andย scientists focusedย on bringing innovative solutions to our clientsโ€™ toughest environmental challengesย pertaining toย water resources, air quality, land restoration, sustainability, renewable energy, ecological services, data science, toxicology, and energy and criticalย 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. Ourย talentedย staff of environmental professionalsย performsย projects nationwide and internationally.ย ย 

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 initiativesโ€”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 technologiesโ€”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 toolsโ€”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!ย