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Ai Assistant Jobs in Delaware (NOW HIRING)

Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to ... Responsibilities * Assist in developing and fine-tuning large language models (LLMs) to better ...

Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to ... Responsibilities * Assist in developing and fine-tuning large language models (LLMs) to better ...

AI Adoption Specialist

Wilmington, DE · On-site +1

$35 - $45/hr

Participate in prompt tuning and experimentation to improve model outputs. Assist with integrating AI services and models into applications and workflows using APIs. Build small prototypes, scripts ...

$150 - $200/hr

... knowledge assistants, workflow orchestration, and agentic AI-enabled process improvement ... Partners cross-functionally with Technology, Data Science, Operations, Risk, Compliance, Legal ...

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Ai Assistant information

What is an AI Assistant job?

An AI Assistant job involves developing, managing, or utilizing artificial intelligence to enhance productivity, automate tasks, and provide support in various industries. AI Assistants can be software-based, like virtual chatbots, or professionals who implement AI tools to optimize workflows. Responsibilities may include programming AI models, analyzing data, or assisting users with AI-powered solutions. The role varies depending on the organization and can range from customer support to advanced machine learning deployment.

How much do AI assistants make?

AI assistants, such as AI support specialists or chatbot developers, typically earn between $50,000 and $100,000 annually depending on experience, location, and skill level. Entry-level roles may start lower, while experienced professionals with skills in machine learning and natural language processing can earn higher salaries.

Can I get an AI job with no experience?

Entry-level AI assistant roles often do not require prior experience, but candidates typically need basic knowledge of AI concepts, programming skills, or familiarity with tools like Python or machine learning frameworks. Gaining certifications or completing relevant online courses can improve chances of securing such positions without extensive experience.

What are the key skills and qualifications needed to thrive in the Ai Assistant position, and why are they important?

To thrive as an AI Assistant, you should have a strong background in artificial intelligence concepts, data analysis, and programming, often supported by a relevant degree or training. Familiarity with AI development platforms, natural language processing tools, and machine learning frameworks is typically required. Excellent problem-solving abilities, clear communication, and adaptability are standout soft skills for this role. These competencies enable effective collaboration and innovative solutions in a rapidly evolving technology environment.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills, extensive experience, and sometimes a combination of technical expertise and leadership. These roles may involve overseeing AI development projects, strategic planning, or managing teams, and they usually offer compensation packages including salary, bonuses, and stock options. Such high salaries are generally found in large tech companies or specialized AI firms.

What is the work of AI assistant?

An AI assistant is a role that involves developing, maintaining, and optimizing artificial intelligence systems to perform tasks such as data analysis, customer support, or automation. The job typically requires skills in programming, machine learning, and natural language processing, and may involve working with AI tools and platforms to improve system performance.

What are the typical day-to-day responsibilities of an AI Assistant?

On a daily basis, an AI Assistant reviews and processes data, helps refine AI models, and collaborates with cross-functional teams such as developers, data scientists, and product managers. Tasks may include responding to user queries, analyzing patterns for process improvement, and updating algorithms to enhance system performance. The role often requires quick learning and adaptation to new technologies as projects evolve. This dynamic environment allows AI Assistants to develop technical expertise and gain experience working across multiple aspects of artificial intelligence projects.

What are the most commonly searched types of Ai jobs in Delaware? The most popular types of Ai jobs in Delaware are:
What are popular job titles related to Ai Assistant jobs in Delaware? For Ai Assistant jobs in Delaware, the most frequently searched job titles are:
What cities in Delaware are hiring for Ai Assistant jobs? Cities in Delaware with the most Ai Assistant job openings:
Infographic showing various Ai Assistant job openings in Delaware as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.

AI Engineering Intern

Athena LLC

On-site, Remote

Full-time

Re-posted 25 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.