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Intern Remote Ai Prompt Engineer Jobs in Rochester, MN

Quora

AI Automation Engineer -Remote

Rochester, MN · On-site +1

$202K - $234K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

DataAnnotation

Security Engineer - AI Trainer

Rochester, MN · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... engineering, DFIR, malware analysis, threat intelligence, or adjacent fields, including government ...

DataAnnotation

SDLC Engineer - AI Trainer

Rochester, MN · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... other engineers -- who are driving real-world impact in AI development. Our platform offers an ...

DataAnnotation

Red Team Engineer - AI Trainer

Rochester, MN · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... engineering, DFIR, malware analysis, threat intelligence, or adjacent fields, including government ...

DataAnnotation

QA Engineer - AI Trainer

Rochester, MN · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... other engineers -- who are driving real-world impact in AI development. Our platform offers an ...

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All JobsIntern Remote Ai Prompt Engineer JobsIntern Remote Ai Prompt Engineer Jobs in Rochester, MN

Intern Remote Ai Prompt Engineer information

See Rochester, MN salary details

$13

$25

$39

How much do intern remote ai prompt engineer jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for intern remote ai prompt engineer in Rochester, MN is $25.84, according to ZipRecruiter salary data. Most workers in this role earn between $21.01 and $29.33 per hour, depending on experience, location, and employer.

What is the difference between Intern Remote Ai Prompt Engineer vs Intern Remote Data Annotator?

AspectIntern Remote Ai Prompt EngineerIntern Remote Data Annotator
Required CredentialsBasic understanding of AI, programming, or related courseworkAttention to detail, basic computer skills
Work EnvironmentRemote, collaborative with AI teamsRemote, often independent annotation tasks
Industry UsageAI development, NLP projectsData labeling for machine learning
Search & Comparison IntentUnderstanding AI prompt roles, entry-level AI jobsData annotation roles, entry-level data jobs

The Intern Remote Ai Prompt Engineer focuses on creating and refining prompts for AI models, requiring some technical knowledge. In contrast, the Intern Remote Data Annotator primarily labels data to train AI systems, emphasizing accuracy and attention to detail. Both roles are remote and entry-level, but they serve different functions within AI development teams.

What types of projects and responsibilities can I expect as a remote AI Prompt Engineer intern?

As a remote AI Prompt Engineer intern, you can expect to work on tasks such as designing, testing, and refining prompts for large language models to improve their accuracy and relevance. You'll likely collaborate with data scientists, software engineers, and other team members to analyze AI model outputs and iterate on prompt strategies. Typical responsibilities may also include documenting best practices, participating in team meetings, and contributing to ongoing research or product development. This role offers a hands-on learning experience in AI development while working in a supportive, remote environment.

What are the key skills and qualifications needed to thrive as an Intern Remote AI Prompt Engineer, and why are they important?

To thrive as an Intern Remote AI Prompt Engineer, you need a solid understanding of natural language processing concepts, critical thinking skills, and preferably some background in computer science or linguistics. Familiarity with AI platforms like OpenAI, prompt engineering tools, and collaborative work systems (such as GitHub or Slack) is commonly expected. Strong written communication, creativity, and adaptability are valuable soft skills for crafting effective prompts and collaborating with distributed teams. These skills are crucial for generating high-quality AI outputs and ensuring productive teamwork in a remote environment.

What does a Remote AI Prompt Engineer Intern do?

A Remote AI Prompt Engineer Intern works on designing, testing, and refining prompts for artificial intelligence models, particularly those used in natural language processing. Their main responsibility is to craft effective prompts that optimize AI responses for accuracy and relevance. They may also analyze AI outputs, collaborate with teams to improve model performance, and document best practices. Since the role is remote, communication and self-management skills are essential. This internship provides valuable experience in AI development and prompt engineering.
What are the most commonly searched types of Remote Ai Prompt Engineer jobs in Rochester, MN? The most popular types of Remote Ai Prompt Engineer jobs in Rochester, MN are:
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Intern Remote Ai Prompt Engineer jobs near you
Infographic showing various Intern Remote Ai Prompt Engineer job openings in Rochester, MN as of June 2026, with employment types broken down into 30% Internship, 40% Full Time, and 30% Temporary. Highlights an 100% Remote job distribution, with an average salary of $53,739 per year, or $25.8 per hour.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Rochester, MN • Remote

Full-time

Posted 15 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply