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Prompt Engineer Internship Jobs in Michigan (NOW HIRING)

Soothsayer Analytics

Prompt Engineer

Livonia, MI · On-site

$60 - $80/hr

We seek an AI Prompt Engineer with strong analytical skills, excellent reading comprehension, and ... Experience: 0 to 2 years including internships, academic projects, or full-time roles. * Strong ...

Kla

AI Software Engineer - Operations

Ann Arbor, MI · On-site

$90K - $153K/yr

Develop prompt engineering strategies and manage prompt lifecycle for performance and reliability ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

Orbotech

AI Software Engineer - Operations

Ann Arbor, MI · On-site

$90K - $153K/yr

Develop prompt engineering strategies and manage prompt lifecycle for performance and reliability ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

KLA-Belgium

AI Software Engineer - Operations

Ann Arbor, MI · On-site

$90 - $154/hr

Develop prompt engineering strategies and manage prompt lifecycle for performance and reliability ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

New

Autoliv United States

GenAI Intern

Auburn Hills, MI · On-site

$14.25 - $19/hr

Collaborate with teams to understand business needs * Assist with prompt design, data integration ... internship * Basic Python or programming knowledge * Interest in Generative AI and emerging ...

Autoliv United States

GenAI Intern

Auburn Hills, MI · On-site

$14.25 - $19/hr

Collaborate with teams to understand business needs * Assist with prompt design, data integration ... internship * Basic Python or programming knowledge * Interest in Generative AI and emerging ...

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Prompt Engineer Internship information

What is a prompt engineer internship?

A Prompt Engineer Internship is a temporary position where interns learn to design, test, and optimize prompts for AI models such as ChatGPT or other large language models. Interns work alongside experienced prompt engineers to create effective instructions that guide AI systems to produce accurate, relevant, and safe responses. This role often involves experimentation, analysis, and collaboration with developers or researchers. It's a great opportunity for those interested in artificial intelligence, natural language processing, and human-computer interaction. Interns typically gain hands-on experience in prompt engineering, data analysis, and understanding the limitations and capabilities of current AI models.

What do prompt engineer interns do?

As a Prompt Engineer Intern, you will typically work on developing, testing, and refining prompts for AI language models to optimize their performance across various applications. Your daily tasks may include experimenting with prompt phrasing, analyzing model outputs, collaborating with data scientists and product managers, and documenting best practices. Interns are often encouraged to share insights that improve prompt effectiveness and may contribute to internal knowledge bases. This role offers hands-on exposure to prompt engineering techniques and a chance to directly impact product features and user experience.

What skills and qualifications are needed to thrive as a prompt engineer intern?

To thrive as a Prompt Engineer Intern, you generally need a foundation in computer science, familiarity with natural language processing (NLP), and strong analytical skills, often supported by coursework or experience in AI or machine learning. Experience with programming languages like Python, APIs for large language models, and tools such as OpenAI or Hugging Face libraries is valuable. Creativity, critical thinking, and effective communication help interns design, test, and refine high-quality prompts collaboratively. These skills and qualities enable the intern to contribute meaningful insights, solve real-world challenges, and optimize AI model outputs in a rapidly evolving field.

What is the difference between Prompt Engineer Internship vs Data Scientist Internship?

AspectPrompt Engineer InternshipData Scientist Internship
Required CredentialsRelevant coursework, coding skills, familiarity with AI modelsStatistics, programming, data analysis, often a degree in CS or related field
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, research institutions
Industry UsageAI development, NLP projects, chatbot designData analysis, predictive modeling, data visualization
Search & Comparison IntentUnderstanding roles related to AI prompt designExploring data analysis internship opportunities

Prompt Engineer Internships focus on designing and refining prompts for AI models, requiring coding and AI knowledge. Data Scientist Internships involve analyzing data, building models, and deriving insights. While both are tech-focused, they serve different functions within AI and data analysis fields.

What are the most commonly searched types of Prompt Engineer jobs in Michigan?

The most popular types of Prompt Engineer jobs in Michigan are:

What are popular job titles related to Prompt Engineer Internship jobs in Michigan?

For Prompt Engineer Internship jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Prompt Engineer Internship jobs in Michigan look for?

The top searched job categories for Prompt Engineer Internship jobs in Michigan are:

What cities in Michigan are hiring for Prompt Engineer Internship jobs?

Cities in Michigan with the most Prompt Engineer Internship job openings:

Prompt Engineer Internship jobs near you
Infographic showing various Prompt Engineer Internship job openings in Michigan as of August 2026, with employment types broken down into 50% Internship, and 50% Part Time. Highlights an 100% In-person job distribution.

Prompt Engineer

Soothsayer Analytics

Livonia, MI • On-site

$60 - $80/hr

Other

Posted 4 days ago

Job description

We seek an AI Prompt Engineer with strong analytical skills, excellent reading comprehension, and exceptional attention to detail. You will design, test, and refine prompts for large language models, audit AI-generated outputs for accuracy, and work closely with client teams to ensure AI solutions meet production quality standards.

Key Responsibilities Prompt Engineering and Design
  • Design and refine structured prompts for AI models to extract data and generate narrative outputs from complex source documents.
  • Identify and diagnose AI failure modes such as fabricated data, incorrect source attribution, and formatting errors, and develop targeted prompt fixes.
  • Iterate prompts through structured test-and-audit cycles to meet defined accuracy thresholds.
Quality Assurance and Validation
  • Audit AI-generated outputs against source documents, verifying data points at the individual figure level.
  • Build validation workbooks to track accuracy metrics across test runs.
  • Categorize and document errors by type and severity to drive systematic improvement.
  • Work with client subject matter experts to understand workflows, quality expectations, and output conventions.
  • Translate domain-specific drafting conventions into structured AI instructions.
  • Present validation results and accuracy metrics to internal and client stakeholders.
Required Skills & Qualifications
  • Education: Bachelor’s degree in Finance, Accounting, Business, Economics, or a related field.
  • Experience: 0 to 2 years including internships, academic projects, or full-time roles.
  • Strong analytical and quantitative reasoning with comfort working with numbers, percentages, financial figures, and tabular data.
  • Exceptional attention to detail with a natural tendency to validate numbers and verify source accuracy.
  • Excellent reading comprehension with the ability to interpret dense, data-heavy documents such as financial reports and regulatory filings.
  • Clear, precise, and structured writing skills to create unambiguous AI prompts.
  • Proficiency in Excel or Google Sheets for data validation and tracking.
  • Patience and discipline for methodical, repetitive quality assurance work.
  • Strong logical reasoning to trace AI errors to root causes and implement systematic fixes.
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