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Junior AI professionals working remotely often encounter challenges such as limited access to mentorship, difficulty in collaborative problem-solving, and staying updated with rapidly evolving technologies. To address these issues, it’s important to proactively seek regular check-ins with team members, participate in virtual study groups or code reviews, and leverage online resources and forums. Building strong communication habits and actively engaging in company knowledge-sharing sessions can also help bridge the gap and foster professional growth.

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To thrive as a Junior Artificial Intelligence Remote professional, you generally need a foundational understanding of machine learning concepts, programming skills in Python, and a relevant degree in computer science or a related field. Familiarity with tools and libraries like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems such as Git is often required. Strong problem-solving abilities, effective written communication, and self-motivation are crucial soft skills, especially in a remote setting. These skills and qualities are essential for successfully developing AI solutions, collaborating with distributed teams, and managing tasks independently.
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Infographic showing various Junior Artificial Intelligence Remote job openings in the United States as of August 2026, with employment types broken down into 68% Full Time, 21% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $56,068 per year, or $27 per hour.

Artificial Intelligence (AI) Engineer

GSI Environmental Inc.

Houston, TX • On-site, Remote

Full-time

Re-posted 2 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