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Ai Internships Jobs in Delaware (NOW HIRING)

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 ...

AI Adoption Specialist

Wilmington, DE ยท On-site +1

$35 - $45/hr

Coursework, internships, or handson experience in data science, analytics, automation, or AI. Eligibility Requirements The preferred work location for this role is at the GEH Headquarters in ...

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Ai Internships information

What are AI internships?

AI internships are temporary positions offered by companies or research institutions to students or recent graduates interested in artificial intelligence. These internships provide hands-on experience working on real-world AI projects, such as machine learning, data analysis, or natural language processing. Interns often collaborate with experienced professionals, learn industry tools and methodologies, and gain practical skills that can help launch a career in AI. Typically, these positions can be found in tech companies, startups, academic labs, or research organizations.

What types of projects can AI interns typically expect to work on during their internship?

AI interns are often involved in hands-on projects such as data preprocessing, building and training machine learning models, or contributing to research initiatives. They may help analyze datasets, optimize algorithms, and collaborate with data scientists and engineers on real-world business challenges. The specific projects will depend on the company's focus but frequently include natural language processing, computer vision, or predictive analytics tasks. This exposure helps interns build practical skills and gain valuable experience working in multidisciplinary teams.

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

To thrive as an AI Intern, you typically need a background in computer science, mathematics, or a related field, with foundational knowledge of machine learning and programming languages like Python. Familiarity with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems like Git is often expected. Strong problem-solving abilities, curiosity, and effective communication skills help you succeed in collaborative and fast-paced research environments. These skills and qualities are essential for contributing to innovative AI projects and adapting quickly to evolving technologies.

What is the difference between Ai Internships vs Data Science Internships?

AspectAi InternshipsData Science Internships
Required CredentialsBasic programming, machine learning knowledge, relevant courseworkStatistics, programming, data analysis skills, relevant coursework
Work EnvironmentTech companies, startups, research labs focusing on AI projectsTech firms, consulting, research institutions analyzing data
Employer & Industry UsageAI development, machine learning applications, automationData analysis, predictive modeling, business insights

Ai Internships and Data Science Internships share overlapping skills like programming and data analysis, but AI internships focus more on developing artificial intelligence models and algorithms, while data science internships emphasize data analysis and insights. Both roles are common in tech industries and require similar foundational skills, making them closely related but distinct in their focus areas.

What are popular job titles related to Ai Internships jobs in Delaware?

For Ai Internships jobs in Delaware, the most frequently searched job titles are:

What cities in Delaware are hiring for Ai Internships jobs?

Cities in Delaware with the most Ai Internships job openings:

AI Engineering Intern

Athenago

Wilmington, DE โ€ข On-site

Full-time

Re-posted 28 days 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.