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Intern Remote Ai Prompt Engineer Jobs (NOW HIRING)

Parachute Health

Staff Software Engineer, Applied AI

OR · Remote

$200K - $240K/yr

Prompt-engineer and iterate on LLM prompts and models. Evaluate and recommend improvements based on ... We are remote-first with a dedicated NYC office and reimbursement options for co-working spaces.

Athena LLC

Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to ... Support the development of AI agentic components such as task planning, tool use, memory, prompt ...

Fuku

Senior Prompt Engineering Engineer

San Francisco, CA · On-site +1

$123K - $169K/yr

What we're looking for - 4+ years of experience shipping ML/AI or applied NLP systems, with at ... HQ in San Francisco with remote flexibility across North America time zones. How to apply Send your ...

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

Matrix Global

Solution Engineer

Familiarity with graph databases or query languages (e.g., Neo4j, Cypher) AI & Prompt Engineering * Hands-on experience with multiple LLM platforms (e.g., ChatGPT, Claude, Gemini) * Strong ...

Peraton

Generative AI Engineering Intern (Graduate)

$17.25 - $22.25/hr

This internship provides competitive hourly compensation, flexible and remote-friendly scheduling ... Support prompt engineering efforts including designing, testing, and refining prompts to improve ...

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Intern Remote Ai Prompt Engineer information

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

As of Jul 21, 2026, the average hourly pay for intern remote ai prompt engineer in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 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.
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Intern Remote Ai Prompt Engineer jobs near you
Staff Software Engineer, Applied AI

Staff Software Engineer, Applied AI

Parachute Health

OR • Remote

$200K - $240K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago

Job description

About the Team

We're an incubator-style team inside Parachute Health, scaling AI capabilities across the entire product ecosystem.

What you'll do

  • Design and build agentic LLM pipelines that power AI features across the product.
  • Build full-stack product features: Python/FastAPI web applications, TypeScript or React web tooling.
  • Prompt-engineer and iterate on LLM prompts and models. Evaluate and recommend improvements based on accuracy, latency, and cost.
  • Strengthen our evaluation framework: curated datasets, evals, experiments, and regression identification, so we can ship changes with confidence.
  • Improve production observability: accuracy signals and feedback loops.
  • Contribute to architecture and technical direction.
  • Actively partner with other product teams to understand their AI use cases and identify how to best enable and support them.
  • Advise on when to apply an AI/LLM solution, and when not to: championing AI where it drives speed and ROI and steering away where it doesn't.

Requirements

  • 5+ years of professional software engineering experience
  • Experience working in a startup, incubator, or other fast-paced 0-to-1 environment where you own features end-to-end and set your own direction.
  • Strong full-stack web application experience in Python.
  • Has shipped reliable agentic LLM workflows to production, with any orchestration framework (LangGraph, LangChain, etc).
  • Experience evaluating and testing LLM workflows: eval harnesses, golden datasets, regressions, and observability.
  • Familiarity with prompt engineering and the prompt iteration lifecycle.
  • Fluent with AI-powered coding tools (e.g. Cursor, Claude Code) to move quickly.
  • Strong written and verbal communication; able to drive alignment without being asked.
  • Must reside in the U.S.

Nice to Have

  • Healthcare workflows or health-tech experience.
  • Ruby on Rails experience
  • A track record of evaluating emerging AI tools and driving their adoption on a team.

Benefits

  • Medical, Dental, and Vision Coverage: Comprehensive plans with options for low-to-no-cost premiums.
  • Employer HSA Contribution: Company-funded contributions to your Health Savings Account.
  • 401(k) Retirement Plan
  • Equity Incentive Plan
  • Annual Company-Wide Bonus: Opportunity for up to 15% bonus based on company performance.
  • Remote-First Culture: We are remote-first with a dedicated NYC office and reimbursement options for co-working spaces.
  • Flexible Vacation Policy
  • Summer Fridays: 5 additional Fridays off during the summer (separate from PTO).
  • Home Office and Wellness Stipend
  • Monthly Internet Stipend
  • Annual Learning and Development Stipend

Base Salary Band (based on experience and level)

Staff: $200,000 - $240,000

To ensure you're leveled accurately, all new engineers participate in a 90-day review. This allows us to calibrate your initial interview results with your actual work, ensuring your title and compensation align with your impact and our engineering rubric.

Apply