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Remote Artificial Intelligence Testing Jobs in Spring, TX

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

... and that artificial intelligence is essential to unlock this potential. NobleAI leverages ... Remote-first with co-working access at Industrious offices * 401(k) with employer match * Equity ...

Lead Machine Learning Engineer

Houston, TX · Remote

$104K - $138K/yr

... and that artificial intelligence is essential to unlock this potential. NobleAI leverages ... Remote-first with co-working access at Industrious offices * 401(k) with employer match * Equity ...

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

... and that artificial intelligence is essential to unlock this potential. NobleAI leverages ... Remote-first with co-working access at Industrious offices * 401(k) with employer match * Equity ...

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Showing results 1-20

Remote Artificial Intelligence Testing information

See Spring, TX salary details

$35

$41

$51

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

As of Aug 7, 2026, the average hourly pay for remote artificial intelligence testing in Spring, TX is $41.36, according to ZipRecruiter salary data. Most workers in this role earn between $37.45 and $45.34 per hour, depending on experience, location, and employer.

What is the difference between Remote Artificial Intelligence Testing vs Remote Data Scientist?

AspectRemote Artificial Intelligence TestingRemote Data Scientist
Required CredentialsKnowledge of AI models, programming skills, testing frameworksDegree in Data Science, Statistics, or related field; programming skills
Work EnvironmentRemote, collaborative teams, AI development companiesRemote, research-focused or industry companies, data analysis teams
Employer & Industry UsageTech firms, AI startups, software companiesTech companies, finance, healthcare, research institutions
Search & Comparison IntentUnderstanding AI testing roles, job requirementsData analysis, modeling, AI applications

Remote Artificial Intelligence Testing focuses on evaluating AI models and algorithms, ensuring their accuracy and reliability. Remote Data Scientists analyze data, build models, and derive insights. While both roles require programming skills and familiarity with data and AI, AI Testing emphasizes validation and quality assurance of AI systems, whereas Data Scientists focus on data analysis and model development.

What are popular job titles related to Remote Artificial Intelligence Testing jobs in Spring, TX? For Remote Artificial Intelligence Testing jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Remote Artificial Intelligence Testing jobs in Spring, TX look for? The top searched job categories for Remote Artificial Intelligence Testing jobs in Spring, TX are:
What cities near Spring, TX are hiring for Remote Artificial Intelligence Testing jobs? Cities near Spring, TX with the most Remote Artificial Intelligence Testing job openings:

Artificial Intelligence (AI) Engineer

GSI Environmental Inc.

Houston, TX • On-site, Remote

Other

This job post has expired today. Applications are no longer accepted.


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 is a rare opportunity to build a function from the ground up.

 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 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.