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Intern Remote Ai Prompt Engineer Jobs (NOW HIRING)

Think of this role as a blend of SEO analyst , AI prompt engineer , and strategic customer advisor . What You'll Be Doing: * Account Setup & Optimization - Configure and optimize customer accounts to ...

Implement prompt engineering strategies and retrieval-augmented generation (RAG) pipelines ... remote role with flexible work environment Work on cutting-edge AI automation projects with real ...

AI-powered sourcing + outreach workflows + expert/CRM management + project execution + an "org ... Strong interest in GenAI / prompt engineering, with experience building LLM-powered features ...

... AI-powered platform along with best-in-class expertise. We're constantly reimagining what ... We're seeking a skilled SQL Prompt Engineer Analyst to join our team! Join our Data Engineering ...

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.

Bachelor's degree in a relevant field (such as Business, Computer Science, or Engineering) or ... A strong commitment to integrity, professionalism, and SitusAMC's guiding principles #LI-Remote ...

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 ...

MCP tool structuring and prompt tuning * Setting up evals and quality measures across MCP tools and ... Format: Remote-friendly with core collaboration hours (PST) Why You'll Love Working Here: * A ...

United States (Remote) - Only US Citizens or GC Team: AI-Enhanced Product Engineering About ... Agentic AI & Prompt Engineering: You will be a subject matter expert in Agentic AI integration.

... Type Intern Remote Eligible Yes Base Salary Range: $0 - $0 Descriptions & Requirements and ... Experience with programming repositories (e.g., GitHub, Mercurial), AI & LLMs (Copilot, Claude ...

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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 Jun 29, 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.
More about Intern Remote Ai Prompt Engineer jobs
What cities are hiring for Intern Remote Ai Prompt Engineer jobs? Cities with the most Intern Remote Ai Prompt Engineer job openings:
What are the most commonly searched types of Remote Ai Prompt Engineer jobs? The most popular types of Remote Ai Prompt Engineer jobs are:
What states have the most Intern Remote Ai Prompt Engineer jobs? States with the most job openings for Intern Remote Ai Prompt Engineer jobs include:
Infographic showing various Intern Remote Ai Prompt Engineer job openings in the United States as of June 2026, with employment types broken down into 33% Internship, 34% Full Time, and 33% Temporary. Highlights an 100% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Project Lion - Prompt Engineer - United States (Remote, Part-Time)

Welo Global

Remote

Part-time

Posted 14 days ago


Key responsibilities

  • Utilize Automatic Prompt Generation tools to create baseline prompts for complex parent-child template clusters.

  • Run and supervise Automated Prompt Optimization tools, review the outputs, and flag when optimization reaches deadlocks or plateaus.

  • Manually draft, test, and refine prompts to address complex template architectures, overcome anti-patterns, and handle edge cases.


Job description

We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLMautoraters. The role is required to use client's internal tools to leverage prompt engineering techniques to maximize model performance.
Responsibilities:
  • Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.

  • Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus.

  • Manuallydraft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts.

  • Monitorshadowbotruns to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.

  • Run prompt versions against established gold data to continuously measureautoraterquality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall.

  • Draft technical launch readiness justifications (Launch Certification Documentation) for final.

Requirement:
  • Language Skills: Native fluency in English.

  • Location: Must be based in United States.

  • Education: Bachelor's, Master's, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, ora relatedanalytical field.

  • Prompt Engineering & AI Expertise: At least 2 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs)for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning.

  • Data Analysis: Strongproficiencyinidentifyingerror patterns, analyzing model performance, and using SQL or other data analytics tools.

  • Technical Agility: Ability to quickly learn and master proprietary tools with minimal supervision.

  • Communication: Excellent verbal and written communication skills.

Optional / Preferred Skills:
  • Familiarity with enterprise-grade LLM interfaces like the Goose API.

  • Experience in AI model evaluation, data science, computational linguistics, or software engineering.

  • Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows.

  • Linguistic expertise, including an understanding of semantics and logic.

Federal Law Compliance
In compliance with federal law, all persons hired will be required to:
- Verify identity and eligibility to work in the United States; and
- Complete a required employment eligibility verification form.
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.