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Ai Engineer Remote Internship Jobs (NOW HIRING)

Huzzle

AI Engineer - Remote

Independent Contractor Job Summary We are looking for a skilled AI Engineer with at least 2 years ... remote environment. Key Responsibilities * Design, build, and deploy AI/ML models for real-world ...

NAVA Software Solutions

AI Engineer - Remote

Boston, MA · On-site +1

AI Engineer Location: 100% Remote Duration: 6+ month contract-to-hire Interviews: 2 rounds Top Requirements: * Implemented GraphRag in AI/ML products (production deployments). * Strong Azure cloud ...

TMTG

Senior AI Engineer (Remote)

Sarasota, FL · Remote

$125K - $165K/yr

Senior AI Engineer Remote US only Full-time Are you passionate about building AI products people actually use, serving millions of users? Do you want to help lead the AI engineering effort at this ...

Indotronix International Corporation

AI Engineer

AI Engineer (Remote, US) - Contract (6+ Months) About the Role Join a dynamic, remote-first team shaping the future of AI-driven applications for the Department of Banking and collaborating with the ...

Capital One

Staff AI Engineer (Remote Eligible)

Staff AI Engineer (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine ...

Recruiting from Scratch

AI Engineer (Remote)

They are seeking an AI Engineer to design and implement machine learning models, develop full-stack applications, and collaborate with cross-functional teams to enhance operational efficiency.

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How much do ai engineer remote internship jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for ai engineer remote internship in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What is an AI Engineer remote internship?

An AI Engineer Remote Internship is a temporary, often entry-level position that allows students or recent graduates to gain practical experience working with artificial intelligence technologies while working remotely. Interns typically assist in developing, testing, and deploying machine learning models, as well as collaborating with teams on data analysis and AI-based solutions. Remote internships provide flexibility, allowing interns to work from any location while still gaining valuable industry experience and networking opportunities.

What are the key skills and qualifications needed to thrive as an AI Engineer remote intern?

To thrive as an AI Engineer Remote Intern, you need a solid foundation in computer science, machine learning principles, and programming languages like Python, often demonstrated through relevant coursework or projects. Familiarity with tools such as TensorFlow, PyTorch, version control systems (e.g., Git), and cloud platforms like AWS or Google Cloud is typically expected. Strong problem-solving skills, self-motivation, and effective remote communication are essential soft skills for success in a distributed team environment. These abilities enable interns to contribute meaningfully to AI projects, learn quickly, and collaborate efficiently despite the challenges of remote work.

How does an AI Engineer remote internship typically structure mentorship and collaboration given the virtual work environment?

Remote AI Engineer internships often use a combination of regular video check-ins, code reviews, and collaborative tools like GitHub and Slack to facilitate mentorship and teamwork. Interns are usually paired with a dedicated mentor or participate in a small project team, ensuring ongoing support and feedback despite the physical distance. Effective communication and proactive engagement are crucial, as interns may need to reach out regularly for guidance and share progress updates. This structure helps interns gain hands-on experience, develop problem-solving skills, and build professional relationships in a remote setting.
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AI Engineer - Remote

Remote

Huzzle
See more jobs at Huzzleexternal

Full-time

Re-posted 12 hours ago

Job description

About Huzzle
At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI.
Unlike an outsourcing agency, we place you directly with a client where you're hired in-house as a valued member of their team.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are looking for a skilled AI Engineer with at least 2 years of hands-on experience in developing, deploying, and optimizing AI and machine learning solutions. You will work closely with product, engineering, and data teams to design intelligent systems, integrate AI models into production environments, and contribute to cutting-edge AI initiatives.
This is an exciting opportunity for someone passionate about machine learning, generative AI, LLMs, automation, and scalable AI infrastructure in a fully remote environment.
Key Responsibilities
  • Design, build, and deploy AI/ML models for real-world applications.
  • Develop and optimize AI-powered features using modern frameworks and APIs.
  • Work with Large Language Models (LLMs) such as GPT, Claude, or open-source alternatives.
  • Build AI pipelines for data processing, training, inference, and monitoring.
  • Collaborate with cross-functional teams to translate business needs into AI solutions.
  • Integrate AI services into web applications, SaaS platforms, and internal tools.
  • Fine-tune and evaluate machine learning models for performance and scalability.
  • Maintain documentation and ensure AI systems follow security and compliance best practices.
  • Stay updated with the latest advancements in AI, machine learning, and automation technologies.

Requirements
  • 2+ years of experience as an AI Engineer, Machine Learning Engineer, or similar role.
  • Strong experience with Python and AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn, or LangChain.
  • Experience working with LLMs, generative AI, prompt engineering, or AI agents.
  • Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG).
  • Experience deploying models using cloud platforms like AWS, Azure, or Google Cloud.
  • Understanding of APIs, microservices, and backend development.
  • Experience with Docker, Git, and CI/CD workflows.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills and ability to work remotely with global teams.
  • Bachelor's degree in Computer Science, AI, Data Science, or related field preferred.
  • Experience with AI automation tools and agent frameworks.
  • Knowledge of MLOps and model monitoring tools.
  • Familiarity with NLP, computer vision, or recommendation systems.
  • Experience building AI SaaS products or chatbots.
  • Exposure to FastAPI, Node.js, or React-based applications.

Benefits
Competitive salary based on experience and location
Fully remote role with flexible work environment
Work on cutting-edge AI automation projects with real business impact
Strong growth opportunity into senior AI / systems roles
Exposure to LLMs, prompt engineering, and scalable AI system design
Direct collaboration with a fast-moving, high-performance team

Apply