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Remote Artificial Intelligence Jobs (NOW HIRING)

GXM Consulting

Artificial Intelligence (AI) Lead Tester

$48.50 - $66.25/hr

GXM Technologies is seeking an Artificial Intelligence (AI) Lead Tester to provide both hands-on ... This position is Remote with Ad-Hoc travel possible but not expected. Responsibilities * Manage and ...

Statheros

Remote work location. * Competitive salary. * Flexible work schedule. * Opportunities for professional development and research contributions * Access to state-of-the-art resources and tools for AI ...

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How much do remote artificial intelligence jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for 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 Remote Jobs in Artificial Intelligence?

If you are interested in artificial intelligence (AI), you can pursue a career as an engineer, programmer, or software developer. AI involves creating machines that perform human-like duties. Engineers and programmers often help develop and test software, and may utilize machine learning, which involves working with algorithms and models that a computer can use to complete a specific function without specific instruction. Some areas that use AI include agriculture, legal, retail, healthcare, education, banking, and transportation. Because these opportunities involve project development, many employers offer remote positions.

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

AspectRemote Artificial IntelligenceRemote Data Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; certifications in AI/MLDegree in Data Science, Statistics, or related fields; certifications in Data Analysis/ML
Work EnvironmentCollaborative teams, research labs, tech companiesData analysis teams, research institutions, tech firms
Industry UsageDeveloping AI models, machine learning algorithmsAnalyzing data, building predictive models
Search & Comparison IntentHigh overlap in skills and job functions, often compared in AI roles

Remote Artificial Intelligence and Remote Data Scientist roles share many skills, including data analysis, machine learning, and programming. However, AI roles focus more on developing intelligent systems and algorithms, while Data Scientists primarily analyze data to generate insights. Both roles are in high demand across tech industries and often require similar educational backgrounds and certifications.

What is a Remote Artificial Intelligence job?

A Remote Artificial Intelligence job involves working with AI technologies and systems, such as machine learning, natural language processing, or computer vision, from a location outside the traditional office environment. Professionals in these roles may design, develop, and deploy AI models or applications for various industries. Remote AI jobs often require strong technical skills in programming, data analysis, and AI frameworks, and can include positions like AI engineer, data scientist, or machine learning researcher. These roles enable individuals to collaborate with global teams and contribute to cutting-edge projects without being tied to a specific physical location.

How can I make $2000 a week working from home?

Remote artificial intelligence roles such as data scientist, machine learning engineer, or AI developer can offer high earning potential, especially with specialized skills and experience. To reach $2000 weekly, professionals often work on multiple projects, freelance contracts, or in consulting, leveraging skills in programming, data analysis, and AI tools like Python, TensorFlow, or cloud platforms.

What AI jobs can be done remotely?

Remote AI jobs include roles such as machine learning engineer, data scientist, AI research scientist, and NLP specialist. These positions often require skills in programming, data analysis, and familiarity with AI frameworks like TensorFlow or PyTorch, and can be performed from anywhere with a reliable internet connection.

What are some common challenges faced by professionals working remotely in Artificial Intelligence roles?

Remote Artificial Intelligence professionals often encounter challenges related to communication and collaboration, especially when working on complex projects that require input from cross-functional teams. Coordinating across different time zones and ensuring alignment on project goals can require extra effort and the use of collaboration tools. Additionally, staying updated with the latest AI research and maintaining access to necessary computing resources remotely may require proactive planning. Building a strong remote work routine and engaging in regular team meetings can help mitigate these challenges.

What are the key skills and qualifications needed to thrive as a Remote Artificial Intelligence Specialist, and why are they important?

To thrive as a Remote Artificial Intelligence Specialist, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree or certifications. Familiarity with programming languages like Python, deep learning frameworks such as TensorFlow or PyTorch, and cloud platforms is typically required. Exceptional problem-solving, self-motivation, and effective communication skills help you collaborate across distributed teams and drive innovation. These abilities are vital for developing robust AI solutions and maintaining productivity in a remote work environment.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI executive, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages. Such salaries reflect the high demand for expertise in developing and deploying cutting-edge AI solutions.

Can I work from home in AI?

Remote artificial intelligence jobs are common, especially in roles such as data scientists, machine learning engineers, and AI researchers. These positions often require strong programming skills, knowledge of tools like Python and TensorFlow, and the ability to collaborate virtually, making remote work a viable option for many AI professionals.
More about Remote Artificial Intelligence jobs
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What job categories do people searching Remote Artificial Intelligence jobs look for? The top searched job categories for Remote Artificial Intelligence jobs are:
Remote Artificial Intelligence jobs near you
Infographic showing various Remote Artificial Intelligence job openings in the United States as of June 2026, with employment types broken down into 95% Full Time, 4% Part Time, and 1% Contract. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution, with an average salary of $124,929 per year, or $60.1 per hour.
Artificial Intelligence (AI) Engineer

Artificial Intelligence (AI) Engineer

General Dynamics Mission Systems, Inc

Remote

$142K - $158K/yr

Full-time

Posted 26 days ago

General Dynamics Mission Systems rating

8.2

Company rating: 8.2 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

83rd of 202 rated software companies

Job description

Basic Qualifications
Bachelor's degree in Software Engineering, or related Science, Technology, Engineering or Mathematics field, plus a minimum of 8 years of relevant experience; or Master's degree, plus 6 years relevant experience.
CLEARANCE REQUIREMENTS:: Department of Defense Secret security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.
Responsibilities for this Position
What You'll Own
  • Production AI services. Build and deploy agentic workflows, RAG pipelines, and LLM-integrated applications using Python, LangChain/LangGraph, and commercial foundation models (Claude, Codex, Gemini, open source).
  • Data-to-insight pipelines. Implement document ingestion workflows that transform unstructured enterprise data into structured models for AI reasoning - embeddings, vectorization, knowledge graphs.
  • API integration. Design and build secure API interfaces that connect AI services to internal tools, enterprise platforms (Oracle, IFS, Snowflake, PLM, MES, CRM), and data sources.
  • Deployment and reliability. Containerize and deploy AI services using Docker and Kubernetes. Build monitoring and evaluation pipelines to track model reliability, latency, and operational performance.
  • Prompt engineering at scale. Design, test, and optimize prompts and agent configurations for production use - not demos.
What You Won't Own
  • Platform architecture decisions - that's the Lead Architect's job
  • Project coordination, scheduling, or status reporting
  • Vendor evaluations or tool selection committees
What Makes This Role Different
  • You will build production AI systems for a 10,000-person enterprise - not prototypes, not demos, not proofs of concept
  • You will work in a multi-model environment (Claude, Codex, Gemini, open source) on real enterprise problems - legacy modernization, ERP replacement, manufacturing intelligence
  • AI-assisted development is the default workflow - Claude Code, Codex, agentic tooling. You will use AI to build AI.
  • The team is small, the problems are hard, and your code ships to production. Your work will directly change how a major defense enterprise operates.
Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field, plus 5 years of experience; or Master's degree plus 3 years of experience
  • Production experience building applications with LLM APIs - you have deployed generative AI services that real users relied on, not just experimented with in notebooks
  • Strong Python development skills - you write clean, testable, production-grade code, not scripts
  • Experience with RAG pipelines, vector databases, and document ingestion workflows in production environments
  • Experience building and consuming REST APIs - you have integrated AI services with enterprise systems and data platforms
  • Containerized deployment experience - Docker, Kubernetes, CI/CD pipelines. You have shipped code through automated pipelines, not manual deployments.
  • U.S. citizenship required. Department of Defense Secret security clearance is required at time of hire.
Preferred Qualifications
  • Experience with agent frameworks - LangChain, LangGraph, or similar tools for building multi-step, tool-using AI workflows
  • Experience with multiple cloud platforms (AWS, Azure, GCP) including cloud-native AI services
  • Hands-on use of AI-assisted development tools (Claude Code, GitHub Copilot, Cursor) as part of your daily workflow
  • Experience with streaming data pipelines (Kafka, Airflow) and production data infrastructure
  • Model monitoring and evaluation - you have built systems to track AI service reliability, not just accuracy metrics in a notebook
  • Commercial technology background - SaaS, healthcare, fintech, or platform engineering. Defense experience is not required.
What Sets You Apart
  • You build things that work. Your default response to a problem is code, not a document.
  • You have shipped AI systems that real users depended on in production.
  • You are comfortable working without detailed specs - you can take a problem statement and figure out the right approach.
  • You care about reliability as much as capability - you monitor what you deploy.
  • You move fast without being reckless. You know when to iterate and when to get it right the first time.
Details
  • Remote - 100% telework
  • 9/80 schedule
  • Defense industry experience is not required

Salary Note
This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled.
Combined Salary Range
USD $142,696.00 - USD $158,303.00 /Yr.
Company Overview
General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team!
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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