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Entry Level Remote Ai Prompt Engineer Jobs in Minnesota

UnitedHealth Group

AI/ML Engineer

Eden Prairie, MN · Remote

$98K - $176K/yr

Develop prompt strategies, tool-calling patterns, grounding techniques, guardrails, and fallback behaviors with an emphasis on responsible AI practices * Partner with Data Engineering to ensure AI ...

UnitedHealth Group

Senior AI/ML Engineer

Minnetonka, MN · Remote

$120K - $214K/yr

In support of AI 10.0 Scaling and leveraging AI to apply processing rules directly from source ... RAG pipelines; prompt/route registries; LangChain style orchestration * 1 years in Serving ...

Varsity Tutors

ChatGPT Tutor

Saint Paul, MN · Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

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Entry Level Remote Ai Prompt Engineer information

What is an entry level remote AI prompt engineer?

An Entry Level Remote AI Prompt Engineer is a professional who works from a remote location to craft, test, and refine prompts for AI systems, particularly those based on large language models like ChatGPT or GPT-4. Their primary responsibility is to design effective instructions that guide the AI to produce accurate, relevant, and high-quality responses. Entry level roles typically require basic knowledge of AI concepts, strong communication skills, and a keen attention to detail. These engineers often collaborate with development teams to improve AI outputs and may conduct research to optimize prompt strategies. It's a rapidly growing field as AI becomes more integrated into various industries.

What are the key skills and qualifications needed to thrive as an entry level remote AI prompt engineer?

To thrive as an Entry Level Remote AI Prompt Engineer, you need a solid understanding of language models, prompt engineering concepts, and basic programming skills, typically supported by a relevant degree or self-guided learning in AI or computer science. Familiarity with tools such as OpenAI's GPT platforms, prompt design frameworks, and collaboration software like Slack or GitHub is common. Strong analytical thinking, creativity, and clear written communication are important soft skills for drafting effective prompts and collaborating in a remote team. These skills ensure the delivery of high-quality AI outputs, foster problem-solving, and support efficient teamwork in a rapidly evolving field.

What are some common challenges faced by entry level remote AI prompt engineers, and how can they overcome them?

Entry-level remote AI prompt engineers often encounter challenges such as interpreting ambiguous project requirements, balancing creative prompt crafting with technical accuracy, and effectively communicating with distributed team members. To overcome these, it's helpful to ask clarifying questions early, document prompt iterations, and actively participate in virtual team meetings or feedback sessions. Leveraging collaboration tools and setting regular check-ins with mentors or senior team members also helps in building confidence and improving prompt quality.

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

AspectEntry Level Remote Ai Prompt EngineerEntry Level Remote Data Annotator
Required CredentialsBasic understanding of AI, programming knowledge (Python, NLP), online coursesAttention to detail, basic computer skills, training in annotation tools
Work EnvironmentRemote, independent work with AI teamsRemote, often repetitive tasks with data labeling platforms
Industry UsageAI development, NLP projects, machine learningData preparation, training datasets for AI models

While both roles are remote and entry-level, AI Prompt Engineers focus on crafting prompts for AI models, requiring some programming and AI knowledge. Data Annotators primarily label data to train AI systems, emphasizing attention to detail. Both are essential in AI development but differ in skills and daily tasks.

What are the most commonly searched types of Remote Ai Prompt Engineer jobs in Minnesota?

The most popular types of Remote Ai Prompt Engineer jobs in Minnesota are:

What are popular job titles related to Entry Level Remote Ai Prompt Engineer jobs in Minnesota?

For Entry Level Remote Ai Prompt Engineer jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Entry Level Remote Ai Prompt Engineer jobs in Minnesota look for?

The top searched job categories for Entry Level Remote Ai Prompt Engineer jobs in Minnesota are:

What cities in Minnesota are hiring for Entry Level Remote Ai Prompt Engineer jobs?

Cities in Minnesota with the most Entry Level Remote Ai Prompt Engineer job openings:

Entry Level Remote Ai Prompt Engineer jobs near you
Infographic showing various Entry Level Remote Ai Prompt Engineer job openings in Minnesota as of August 2026, with employment types broken down into 77% Full Time, 10% Part Time, and 13% Contract. Highlights an 100% Remote job distribution.

Agentic AI Workflow Engineer Project Experience Program

Sapsol Technologies Inc

Houston, MN • Remote

Full-time

Re-posted 11 days ago

Job description

Agentic AI Experience Program (Remote)

8-Week Weekend-Based Project Exposure & Mentorship Program

SAPSOL Technologies Inc. is inviting interested learners to join a remote Agentic AI Experience Program focused on AI workflow automation, enterprise AI systems, AI agents, n8n workflows, APIs, and real-world automation use cases.

Important Note:

This is a structured learning, mentorship, and project exposure program.

This is not a job, internship, employment opportunity, recruitment drive, or placement offer.

About the Program

This program is designed to help participants gain hands-on exposure to modern AI automation tools and enterprise workflow systems through guided weekend sessions, real-time scenario-based exercises, and project-oriented implementation activities.

Participants will work on practical AI automation concepts used in business environments, including workflow design, API integrations, AI agents, prompt engineering, RAG systems, CRM workflows, and enterprise automation use cases.

Program Highlights

Remote weekend-based live sessions

Mentor-guided project walkthroughs

Real-time scenario-based project exposure

Hands-on AI workflow automation activities

Portfolio-oriented project work

Team-based collaboration activities

Guided workflow testing and documentation

Exposure to enterprise AI implementation concepts

Capstone-style project experience

Technologies & Tools Covered

Participants may gain exposure to:

n8n Workflow Automation

Webhooks & REST APIs

OpenAI / LLM Integrations

AI Agents & Agentic Workflows

Prompt Engineering

RAG System Concepts

PostgreSQL / Airtable Concepts

Google Sheets / Gmail Integrations

Slack / CRM Workflow Integrations

Workflow Testing & Documentation

Project Exposure Areas

Participants may work on guided project scenarios such as:

AI Email Summarizer

AI LinkedIn Content Generation Engine

AI Research Assistant

AI Knowledge Base Chatbot

AI Sales Outreach Assistant

AI Resume Screening System

AI Interview Evaluation Workflow

AI Customer Support Chatbot

AI Ticket Classification System

AI Document Processing Workflow

Multi-Agent Workflow Automation System

Capstone Project Exposure

As part of the program, participants may work on a capstone-style enterprise AI workflow involving:

Input Agent

Decision Agent

Action Agent

Logging Agent

Reporting Dashboard

Participants may also gain exposure to real project documentation practices such as:

Business Requirement Document

Functional Specification

Process Flow Diagram

Prompt Library

Test Cases

UAT Document

Final Demo Presentation

Who This Program Is For

This program may be suitable for:

Students & Recent Graduates

Developers & Engineers

Business Analysts

Career Transition Candidates

Automation Enthusiasts

Freelancers & Founders

Professionals interested in AI workflow automation

No advanced coding background is required for beginners who are willing to learn.

Program Structure

Weekend-based remote live sessions

Saturday: AI concepts, live builds, use cases, and architecture walkthroughs

Sunday: Guided project implementation, doubt solving, and portfolio-oriented work

Structured learning path from AI foundations to enterprise workflow systems

Important Clarification

This is a paid project experience and mentorship program.

It does not include salary, employment, internship placement, or job guarantee.

Program fees are related to mentorship, learning infrastructure, tools access, project environments, and guided project support.

Enrollment Process

Interested participants may share:

Brief background summary

Technical interests

LinkedIn profile, optional

Weekend availability

To register your interest, contact:

sushma@sapsol.com

Apply