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Prompt Engineering Internship Jobs (NOW HIRING)

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Internship About the Role Sycamore Life Sciences is seeking a motivated and curious IT / Software ... g., prompt engineering, API integration, workflow automation, or AIโ€powered feature development ...

New

This internship provides hands-on experience in applying artificial intelligence technologies ... Support data preparation, model evaluation, prompt engineering, and AI workflow optimization ...

AI Intern

Woodridge, IL ยท On-site

Contribute to prompt engineering, evaluation, and response-quality improvement initiatives. * Help ... Strong foundation in Python programming, gained through coursework, projects, internships, and/or ...

Strong interest in GenAI / prompt engineering, with experience building LLM-powered features (projects are totally fine). * Some experience shipping something real (project, internship, open source ...

We're offering AI Engineer Internships in regions across the globe to help drive that shift ... a prompt and hopes for the best. * Bias toward action. Given an ambiguous problem, you start ...

We're offering AI Engineer Internships in regions across the globe to help drive that shift ... a prompt and hopes for the best. * Bias toward action. Given an ambiguous problem, you start ...

We're offering AI Engineer Internships in regions across the globe to help drive that shift ... a prompt and hopes for the best. * Bias toward action. Given an ambiguous problem, you start ...

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Prompt Engineering Internship information

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$11

$19

$29

How much do prompt engineering internship jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for prompt engineering internship in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is a prompt engineering internship?

A Prompt Engineering Internship is a role where interns learn to design, refine, and optimize prompts for AI models to generate accurate and useful responses. Interns work closely with developers, researchers, and data scientists to test and improve AI outputs. The position often involves experimenting with different prompt structures, analyzing results, and helping enhance AI capabilities. This internship is ideal for those interested in AI, natural language processing, and machine learning applications.

What kinds of projects or responsibilities can I expect during a prompt engineering internship?

As a Prompt Engineering Intern, you will typically work on developing, testing, and optimizing prompts for large language models to improve response quality and accuracy. Your daily tasks may include collaborating with engineers, data scientists, and product teams to understand project goals, conducting experiments to evaluate prompt effectiveness, and documenting findings or best practices. You may also be involved in researching emerging trends in AI and suggesting improvements based on real-world feedback. This role offers a dynamic environment with opportunities to contribute to cutting-edge applications and strengthen your technical and communication skills in a collaborative team setting.

What are the key skills and qualifications needed to thrive in a prompt engineering internship?

To thrive as a Prompt Engineering Intern, you need a strong background in language modeling, natural language processing (NLP), and analytical thinking, often supported by coursework or experience in computer science or related fields. Familiarity with tools like Python, machine learning libraries (such as TensorFlow or PyTorch), and platforms that host large language models (like OpenAI API) is helpful. Excellent communication, problem-solving abilities, and creativity are valuable soft skills for crafting effective prompts and collaborating within teams. These skills ensure that prompts are precise and effective, enabling high-quality outputs from AI systems and driving innovation in conversational AI applications.

Are prompt engineering interns still in demand?

Prompt engineering interns are increasingly in demand as organizations seek to develop and optimize AI language models. Skills in natural language processing, machine learning, and familiarity with AI tools like GPT are valuable for these roles, which are often part of broader AI and data science teams.
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What are the most commonly searched types of Prompt Engineering jobs?

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What states have the most Prompt Engineering Internship jobs?

States with the most job openings for Prompt Engineering Internship jobs include:

Infographic showing various Prompt Engineering Internship job openings in the United States as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Automation & Integration Engineer/Information Security Officer

Access Health Louisiana

Kenner, LA โ€ข On-site

$141K/yr

Full-time

Re-posted 22 days ago


Job description

Position Summary:
The Automation & Integration Engineer/Information Security Officer will support the development of intelligent automation and system integrations across the organization. This entry-level role is ideal for candidates with foundational programming experience-especially in Python-and a strong interest in artificial intelligence, workflow automation, and connecting systems to improve care delivery and operations.
The engineer will work closely with Informatics, IT, and operational teams to implement AI-powered tools, automate routine processes, and ensure seamless data exchange between systems.
Minimum Qualifications
Education
Bachelor's degree (or in progress) in Computer Science, Information Systems, Engineering, or related field
Experience
  1. 0-2 years of experience in software development, automation, or system integration (internships/projects acceptable).
  2. Experience with cloud platforms (e.g., AWS, Azure, or GCP) is a plus
  3. Basic knowledge of SQL or data querying.
  4. Familiarity with healthcare systems or interoperability standards (HL7, FHIR).
  5. Exposure to AI/ML concepts or tools (e.g., prompt engineering, NLP basics, or model APIs).

Knowledge, Skills, and Abilities
  1. Strong analytical and problem-solving skills.
  2. Curiosity and enthusiasm for AI and emerging technologies.
  3. Ability to translate technical concepts for non-technical users.
  4. Detail-oriented with strong organizational skills.
  5. Proficiency in Python (scripting, automation, or small applications).
  6. Familiarity with APIs (REST), and data formats such as JSON, XML, and CSV.
  7. Basic understanding of automation tools (e.g., Power Automate, UiPath, or similar).
  8. Exposure to version control (e.g., Git).

"This position offers a 4-day workweek schedule to support work-life balance while maintaining full-time benefits."