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Artificial Intelligence Intern Remote Jobs (NOW HIRING)

Synopsys

Intern (Infrastructure) - 16520

Canonsburg, PA · On-site +1

... Type Intern Remote Eligible Yes Base Salary Range: $0 - $0 Descriptions & Requirements and ... Our technology drives the Era of Pervasive Intelligence, where smart tech and AI are seamlessly ...

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 ...

GXM Technologies LLC

Artificial Intelligence (AI) Lead Tester

VA · Remote

$48.50 - $66.25/hr

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

Extrity Services

People Operations Intern (Remote)

$15.50 - $20.50/hr

... intelligence, de-escalation, and cultivating a thriving company culture. We believe that security ... As the People Operations Intern at Extrity Services, you will be instrumental in supporting various ...

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 ...

Syniti

Intern

OR · On-site +1

$14 - $18.75/hr

The Legal Intern will assist with a wide range of activities including legal operations, compliance ... Artificial Intelligence and technology law Assist in drafting, reviewing, and revising corporate ...

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

As of Jun 9, 2026, the average hourly pay for artificial intelligence intern remote in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

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

AspectArtificial Intelligence Intern RemoteData Science Intern Remote
Required CredentialsEnrolled in Computer Science, AI, or related fields; some knowledge of programming and machine learningEnrolled in Data Science, Statistics, or related fields; programming and analytical skills needed
Work EnvironmentRemote internship with focus on AI projects, coding, and model developmentRemote internship involving data analysis, visualization, and statistical modeling
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, analytics companies, research organizations

Artificial Intelligence Intern Remote and Data Science Intern Remote roles share similarities in remote work settings and required technical skills. However, AI internships focus more on developing AI models and algorithms, while Data Science internships emphasize data analysis and statistical modeling. Both roles are valuable for gaining experience in tech and research industries.

What types of projects and responsibilities can I expect as a remote Artificial Intelligence Intern?

As a remote Artificial Intelligence Intern, you can expect to work on a variety of tasks such as data preprocessing, model training, and performance evaluation under the guidance of experienced AI professionals. You'll often collaborate with cross-functional teams—such as data scientists, software engineers, and product managers—using virtual communication tools. Common projects may include building or improving machine learning models, supporting research activities, or assisting with the deployment of AI solutions. The remote nature of the role requires strong self-motivation, time management skills, and proactive communication to stay aligned with your team and project goals.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Intern (Remote), and why are they important?

To thrive as an Artificial Intelligence Intern (Remote), a solid understanding of programming languages like Python, foundational knowledge in machine learning concepts, and progress toward a relevant degree (such as computer science or data science) are essential. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems (e.g., Git) is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns collaborate remotely and convey technical findings clearly. These skills are crucial for contributing to AI projects, learning from mentors, and succeeding in a distributed team environment.

What does an Artificial Intelligence Intern do in a remote position?

An Artificial Intelligence Intern working remotely typically assists with developing, testing, and deploying AI models and algorithms under the guidance of senior engineers or data scientists. Their tasks may include data preprocessing, coding in languages like Python, building machine learning models, and analyzing results. They often participate in virtual meetings, collaborate through project management tools, and contribute to research or documentation. This role provides hands-on experience with real-world AI projects while working from anywhere.
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Artificial Intelligence Intern Remote jobs near you
Artificial Intelligence (AI) Engineer

Artificial Intelligence (AI) Engineer

General Dynamics Mission Systems, Inc

Remote

$142K - $158K/yr

Full-time

Posted 6 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

75th of 186 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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