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Evening Remote Artificial Intelligence Jobs (NOW HIRING)

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

As of Aug 10, 2026, the average hourly pay for evening remote artificial intelligence in the United States is $60.06, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $64.66 per hour, depending on experience, location, and employer.

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

To thrive as an Evening Remote Artificial Intelligence Specialist, you need a solid background in computer science, machine learning, and data analysis, often supported by a relevant degree and experience with AI projects. Familiarity with programming languages like Python, AI frameworks such as TensorFlow or PyTorch, and cloud platforms like AWS or Azure is typically required, along with certifications in AI or data science being advantageous. Strong problem-solving abilities, effective communication, and self-motivation are key soft skills for collaborating remotely and managing evening schedules. These skills ensure high-quality AI solutions, seamless remote teamwork, and the flexibility needed to succeed in non-traditional work hours.

What are some typical challenges faced by professionals working evening remote shifts in artificial intelligence roles?

Evening remote AI professionals often encounter challenges such as managing collaboration across different time zones, maintaining work-life balance, and staying connected with team meetings or updates that occur during regular business hours. Additionally, working evenings may mean troubleshooting urgent issues independently, as immediate support from colleagues or supervisors may be limited. To succeed in this environment, strong self-management skills and proactive communication are essential, as is leveraging asynchronous tools to stay aligned with the broader team.

What is an evening remote artificial intelligence specialist?

An Evening Remote Artificial Intelligence job involves working on AI-related tasks, such as developing machine learning models, analyzing data, or supporting AI systems, during evening hours from a remote location. These positions are ideal for those who prefer flexible schedules or need to balance other commitments during the day. Responsibilities may include programming, researching AI technologies, or collaborating with teams virtually. Evening remote AI roles can be found in various industries like technology, healthcare, finance, and more.

What is the difference between Evening Remote Artificial Intelligence vs Evening Remote Data Science?

AspectEvening Remote Artificial IntelligenceEvening Remote Data Science
Required CredentialsBachelor's or higher in CS, AI, or related fields; certifications in AI/MLBachelor's or higher in CS, Statistics, or related fields; certifications in Data Analysis/Science
Work EnvironmentRemote, flexible hours, project-basedRemote, flexible hours, project-based
Industry UsageTech companies, startups, research institutionsTech firms, finance, healthcare, research organizations
Search & Comparison IntentUnderstanding AI-specific roles and skillsUnderstanding data analysis and science roles

While both roles are remote and require similar educational backgrounds, Evening Remote Artificial Intelligence focuses on developing AI models and algorithms, whereas Evening Remote Data Science emphasizes analyzing data to inform business decisions. Both are in high demand across tech and research industries, but AI roles often require specialized knowledge in machine learning and neural networks.

More about Evening Remote Artificial Intelligence jobs
What cities are hiring for Evening Remote Artificial Intelligence jobs? Cities with the most Evening Remote Artificial Intelligence job openings:
What are the most commonly searched types of Remote Artificial Intelligence jobs? The most popular types of Remote Artificial Intelligence jobs are:
What states have the most Evening Remote Artificial Intelligence jobs? States with the most job openings for Evening Remote Artificial Intelligence jobs include:
Infographic showing various Evening Remote Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $124,929 per year, or $60.1 per hour.

Artificial Intelligence (AI) Engineer

GSI Environmental Inc.

Houston, TX โ€ข On-site, Remote

Full-time

Posted 20 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