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Prompt Engineering Internship Jobs in Oregon (NOW HIRING)

Point C

OR · On-site

The internship is set for 10-12 weeks but may be extended based on business needs. Primary ... Experience with prompt engineering, APIs, or workflow automation tools (Make, Zapier, Power ...

Intel

Software Engineer

Hillsboro, OR

... or internship experiences. Minimum Qualifications: * Master's degree in AI/ML, Data Science ... End-to-end experience with generative AI and LLM-based solutions, including prompt engineering ...

Musixmatch S.p.a

OR · On-site

Experiment with and integrate LLM-based tools, prompt engineering, and automation into catalog ... related role (internships and strong side projects count). A genuine AI-first mindset: you ...

AllOne Health, Inc.

AI Full Stack Developer

Implement guardrails for AI systems including prompt safety, data protection, hallucination ... engineering experience after completing your bachelor's degree. Internships and co-ops do not count ...

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Prompt Engineering Internship information

What is the stipend for prompt engineer intern?

The stipend for a prompt engineering internship varies depending on the company and location but typically ranges from $1,000 to $3,000 per month. Interns often work part-time or full-time and may also receive mentorship and skill development opportunities.

What is a Prompt Engineering Internship job?

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.

Is 22 too old for an internship?

Prompt Engineering Internships are open to candidates of various ages, including those in their early twenties. Age is generally not a barrier, and employers often value skills, relevant experience, and a willingness to learn over age. Many internships welcome diverse applicants, regardless of age, especially if they demonstrate enthusiasm and technical aptitude.

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 the Prompt Engineering Internship position, and why are they important?

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.

What jobs can I get with prompt engineering?

Prompt engineering skills are valuable in roles such as AI/ML engineer, data scientist, NLP specialist, or AI product manager, where designing effective prompts improves AI model outputs. These positions often require knowledge of machine learning, programming, and AI tools like language models. The role involves developing, testing, and refining prompts to optimize AI performance in various applications.

Are prompt engineers still in demand?

Prompt engineering is a growing field as AI language models become more integrated into various industries. Demand for prompt engineers is increasing, especially for roles involving AI development, natural language processing, and expertise with tools like GPT models, making it a valuable skill set for tech-focused positions.
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Prompt Engineering Internship jobs near you
Data Science AI Intern

Data Science AI Intern

Point C

OR • On-site

Other

Posted 12 days ago

Job description

Point C is seeking an AI Data Science Intern to join our Operations team this summer/fall. You'll work directly with operational leaders across claims, plan administration, client services, and clinical functions to identify manual workflows and build AI-assisted tools that drive real efficiency. This is not a shadow-and-observe internship. You'll have real ownership, real problems, and direct exposure to leadership. The internship is set for 10-12 weeks but may be extended based on business needs.

Primary Responsibilities:

  • Partner with operational leaders to identify high-friction, high-volume manual workflows and opportunities to automate and improve processes using AI and data science across claims, plan administration, client services, and clinical/UM functions
  • Design and build AI-assisted tools and prototype solutions using Anthropic's Claude platform - from prompt-based assistants to lightweight internal apps; focus is on initial concepts and working prototypes, not full-scale production builds
  • Prototype quickly; target concept-to-working-demo timelines of days, not weeks; partner with engineers and technical team members to hand off and build out solutions beyond the prototype stage
  • Collaborate with the AI & Automation Engineering team on solutions requiring API integrations or multi-system workflows
  • Document use cases, build logic, and outcomes so solutions are repeatable beyond the internship; write clear documentation capturing the idea, logic, and intended approach for each solution to enable handoff and continuity
  • Present findings and ROI framing to operational and executive leadership
  • Help build and deliver an AI Efficiency Playbook at the close of the internship - capturing what was built, what it replaced, recommended next steps, and a framework for how Point C can continue identifying and implementing AI-driven improvements

Qualifications:

  • Currently a Senior or Graduate student enrolled in a degree program in Business, Computer Science, Health Informatics, Operations, or a related field
  • Hands-on experience with AI tools such as Claude, ChatGPT, or similar LLMs
  • Strong written and verbal communication skills; able to translate technical ideas for non-technical audiences
  • Ability to work independently, manage ambiguity, and prioritize across multiple projects
  • Experience with prompt engineering, APIs, or workflow automation tools (Make, Zapier, Power Automate) is a strong plus
  • Familiarity with Python, JavaScript, or C#/.NET is a plus
  • Prior exposure to healthcare, TPAs, or regulated operational environments is a plus

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