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Artificial Intelligence Internship Jobs in Delaware

... artificial intelligence. * Strong programming abilities in Python (and familiarity with ML ... Previous projects or internship experience involving machine learning or AI (especially work with ...

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Artificial Intelligence Internship information

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How much do artificial intelligence internship jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for artificial intelligence internship in Delaware is $19.33, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $22.07 per hour, depending on experience, location, and employer.

What is an artificial intelligence internship?

An Artificial Intelligence (AI) Internship is a temporary position for students or recent graduates to gain hands-on experience working with AI technologies. Interns typically assist with tasks such as data preprocessing, building machine learning models, and supporting research projects under the guidance of experienced professionals. These internships provide valuable exposure to real-world AI applications, tools, and industry practices. They often require a background in computer science, mathematics, or related fields, and can help interns build skills for future AI-related careers.

What types of projects do artificial intelligence interns typically work on during their internship?

Artificial Intelligence interns are often assigned to real-world projects that involve tasks such as data preprocessing, building machine learning models, or evaluating AI algorithms. Depending on the organization, you might work on natural language processing, computer vision, or recommendation systems. Interns usually collaborate closely with data scientists, engineers, and other interns, gaining hands-on experience with industry-standard tools and frameworks. These projects are designed to not only enhance technical skills but also provide exposure to the collaborative problem-solving processes common in AI teams.

What are the key skills and qualifications needed to thrive as an artificial intelligence intern, and why are they important?

To thrive as an Artificial Intelligence Intern, you generally need a solid foundation in programming (especially Python), statistics, and machine learning concepts, often supported by coursework or a degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, experience with data analysis tools, and participation in relevant online courses or certifications are typical requirements. Strong problem-solving skills, curiosity, and effective communication help interns collaborate and learn quickly in dynamic environments. These skills and qualities enable interns to contribute meaningfully to AI projects, adapt to new challenges, and grow within the field.

What is the difference between Artificial Intelligence Internship vs Data Science Internship?

AspectArtificial Intelligence InternshipData Science Internship
Required CredentialsBasic programming, machine learning fundamentalsStatistics, programming, data analysis skills
Work EnvironmentResearch labs, tech companies, startupsBusiness analytics, research, tech firms
Industry UsageAI development, machine learning projectsData analysis, predictive modeling
Common Search IntentAI-focused roles, machine learning projectsData analysis, insights generation

Artificial Intelligence Internships typically focus on developing AI and machine learning models, requiring programming and basic AI knowledge. Data Science Internships emphasize data analysis, statistical modeling, and insights extraction. Both roles are common in tech and research industries, but they serve different core functions within data-driven projects.

How to become an artificial intelligence intern?

To become an artificial intelligence intern, candidates typically need a strong foundation in programming languages like Python, knowledge of machine learning frameworks such as TensorFlow or PyTorch, and relevant coursework or projects in AI or data science. Gaining practical experience through internships, personal projects, or research can improve chances, along with a relevant degree in computer science, engineering, or related fields. Strong problem-solving skills and familiarity with data analysis are also beneficial.

Is an artificial intelligence internship worth it?

An artificial intelligence internship provides hands-on experience with AI tools, programming languages like Python, and machine learning concepts, which can enhance a candidate's skills and employability. It offers industry exposure, networking opportunities, and a chance to apply theoretical knowledge in real-world projects, making it valuable for those pursuing a career in AI or data science.

What are the most commonly searched types of Artificial Intelligence jobs in Delaware?

The most popular types of Artificial Intelligence jobs in Delaware are:

What cities in Delaware are hiring for Artificial Intelligence Internship jobs?

Cities in Delaware with the most Artificial Intelligence Internship job openings:

Infographic showing various Artificial Intelligence Internship job openings in Delaware as of August 2026, with employment types broken down into 84% Full Time, 12% Part Time, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $40,213 per year, or $19.3 per hour.

AI Engineering Intern

Athenago

Wilmington, DE โ€ข On-site

Full-time

Re-posted 16 hours ago


Job description

At Athena, we empower possibility through transformative delegation. Our mission is to build the world's premier delegation platform, combining the strengths of exceptional Executive Assistants with advanced AI technologies to save our clients millions of hours each year.

Role Overview

The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to improve task delegation workflows, instruction generation, and automate agentic processes. This role will also contribute to building and improving AI agentic systems that can reason through tasks, use tools, and support more reliable task execution across Athena workflows. You will play a crucial role in prototyping, developing, and deploying cutting-edge AI features that directly impact client productivity and efficiency.

Responsibilities
  • Assist in developing and fine-tuning large language models (LLMs) to better understand and generate instructions for complex tasks. You'll experiment with model parameters and training data to improve performance.

  • Build and integrate AI-driven features that improve task delegation workflows - for example, creating intelligent agents that break down client requests into actionable steps for our team.

  • Collaborate with senior AI engineers to prototype systems that use AI for agentic workflows, enabling the platform to automatically handle or delegate routine instructions.

  • Support the development of AI agentic components such as task planning, tool use, memory, prompt workflows, and orchestration logic to help agents operate more effectively in real-world scenarios.

  • Evaluate model outputs for accuracy and usefulness. Develop tests and metrics to assess how well the AI-generated instructions or recommendations are performing in real-world scenarios.

  • Help build lightweight evaluation harnesses and experiments to test agent behavior, workflow reliability, and the quality of AI-generated task execution.

  • Work cross-functionally with product and software engineers to implement AI solutions into the Athena platform. Communicate technical findings and iterate on solutions based on user feedback.

Qualifications
  • Currently pursuing (or recently completed) a degree in Computer Science, Stats, or related field, with coursework in machine learning or artificial intelligence.

  • Strong programming abilities in Python (and familiarity with ML libraries like TensorFlow, PyTorch). Comfortable with data structures, algorithms, and writing clean, efficient code.

  • Solid understanding of machine learning fundamentals and algorithms (classification, NLP, Deep Learning). Familiarity with concepts of training, fine-tuning, and evaluating models.

  • Knowledge of natural language processing techniques. Understanding how large language models work and experience using or implementing NLP models.

  • Interest in AI agentic systems, including areas such as prompt design, tool use, workflow orchestration, multi-step reasoning, or evaluation of LLM-based systems.

  • Ability to break down complex problems and experiment with creative AI solutions. Eagerness to learn new technologies and frameworks quickly.

Preferred Qualifications
  • Previous projects or internship experience involving machine learning or AI (especially work with LLMs or NLP projects).

  • Experience with ML ops or model deployment (e.g. using cloud AI services, Docker, REST APIs for model serving).

  • Familiarity with concepts like reinforcement learning, prompt engineering for LLMs, or building multi-agent systems.

  • Experience with data preprocessing pipelines, and working with datasets relevant to language models or automation tasks.

  • Exposure to agent evaluation, prompt pipelines, orchestration frameworks, or AI systems that interact with external tools or APIs is a plus.

  • Awareness of the latest trends and research in AI/ML (new model architectures, papers, etc.), showing a passion for staying up-to-date in the field.

Benefits
  • You will be mentored by Athena's AI and software engineering experts. They will provide guidance, code reviews, and support as you work on challenging AI projects, ensuring you learn best practices in the field.

  • Expect to engage with cutting-edge AI technology. You'll contribute to pioneering projects (like improving AI-driven delegation) that could become core Athena offerings, giving you tangible achievements to highlight in your career.

  • Be part of a collaborative, forward-thinking team. Interns at Athena are included in all aspects of company life - from daily stand-ups to social outings - receiving the same respect and perks as full-timers.

  • This internship will enhance your practical AI skills and professional network. You'll leave with a deeper understanding of how AI can automate and improve real-world processes, and you may earn opportunities for future employment at Athena.com based on your performance.