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Prompt Engineering Internship Remote Jobs (NOW HIRING)

Rockstar

Jr AI Engineer

Support prompt engineering, prompt testing, model comparison, and evaluation of AI-generated ... Internship experience, academic work, bootcamp projects, portfolio projects, or open-source ...

TMS

AI/ ML Engineer

New York, NY · Remote

$60 - $62/hr

US/ Canada- Remote Minimum exp. required: 8+ yrs. We are looking for a GenAI Engineer to design ... Implement prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning techniques

Huzzle

AI Engineer - Remote

... remote environment. Key Responsibilities * Design, build, and deploy AI/ML models for real-world ... Experience working with LLMs, generative AI, prompt engineering, or AI agents . * Familiarity with ...

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How much do prompt engineering internship remote jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for prompt engineering internship remote 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 Remote job?

A Prompt Engineering Internship Remote job is a temporary, remote position where interns learn how to design, refine, and optimize prompts for AI models, such as large language models. Interns work with AI teams to improve model outputs, ensure accuracy, and enhance user interactions. This role involves skills in natural language processing, critical thinking, and experimentation with AI prompts. Since it's remote, interns collaborate online using tools like Slack, GitHub, and cloud-based AI platforms.

What are the key skills and qualifications needed to thrive in the Prompt Engineering Internship Remote position, and why are they important?

To thrive as a Prompt Engineering Internship Remote, you need a solid understanding of natural language processing, prompt design for AI models, and experience with Python or similar programming languages. Familiarity with AI development tools like OpenAI APIs, version control systems (e.g., Git), and online collaboration platforms is typically required. Strong attention to detail, creative problem-solving, and excellent written communication skills help candidates excel in crafting and refining prompts. These skills are crucial for developing effective AI interactions, collaborating remotely, and adapting to rapidly evolving AI technologies.

What does a typical day look like for a remote Prompt Engineering Intern?

As a remote Prompt Engineering Intern, your typical day involves drafting, testing, and refining text prompts to optimize responses from AI language models. You may collaborate virtually with engineers and data scientists, participate in regular team meetings, and document prompt performance and outcomes. The role often includes researching best practices, troubleshooting inconsistent results, and iterating on your prompts based on feedback. You'll primarily work independently but will also engage with mentors and peers through chat, video calls, and shared code repositories. This structure offers a blend of focused solo work and collaborative learning, ideal for building both technical and professional skills.
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Prompt Engineering Internship Remote jobs near you
Infographic showing various Prompt Engineering Internship Remote job openings in the United States as of May 2026, with employment types broken down into 33% Internship, and 67% Part Time. Highlights an 100% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.
Prompt Engineer: LLM Migration & Optimization

Prompt Engineer: LLM Migration & Optimization

Welo Data

Charleston, WV • Remote

Part-time

Posted 16 days ago

Job description

United States • Remote • Part-Time

Are you an expert at navigating the complex logic of Large Language Models? Welo Data is seeking a technical Prompt Engineer to lead the end-to-end migration of template workflows into high-performance LLM autoraters.

This isn't just about writing prompts—it’s about engineering a technical bridge. You will use advanced APG/APO tools and manual refinement to ensure our automated systems meet (and exceed) human accuracy baselines.

The Mission: Architecting the Future of Rating
  • Technical Migration: Take ownership of the workflow for transitioning templates to LLM autoraters.
  • Optimization Leadership: Run and supervise Automated Prompt Optimization (APO) tools, identifying where logic plateaus and providing the manual "spark" to overcome deadlocks.
  • Metrics-Driven Accuracy: Continuously measure quality against gold data, calculating critical performance metrics like precision, recall, and $F_1$ scores.
  • Edge-Case Engineering: Solve complex scenarios by designing manual prompts that handle anti-patterns and broken logic in legacy architectures.
Project Details
  • Schedule: Part-Time (Flexible hours within project milestones)
  • Location: 100% Remote (Must be based in the United States)
  • Employment Type: Freelance / Independent Contractor
 Who We Are Looking For
  • Linguistic & AI Mastery: 2+ years of experience as a Prompt Engineer. You must be comfortable tuning LLMs for structured outputs and complex classification tasks.
  • Academic Background: BS, MS, or PhD in Computer Science, Data Science, Computational Linguistics, or a related analytical field.
  • Technical Agility: Fast learner capable of mastering proprietary internal tools and interfaces (like the Goose API) with minimal supervision.
  • Data Fluency: Strong ability to identify error patterns and use SQL or data analytics tools to analyze model performance.
Preferred Skills
  • Familiarity with shadowbot disagreement tracking between humans and LLMs.
  • Hands-on experience with Chain-of-Thought (CoT) and few-shot learning.
  • Proven ability to draft high-level Launch Certification Documentation.