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Machine Learning Remote Internship Jobs in Winona, MN

Good Culture

Quality Data Analyst

La Crosse, WI · On-site +1

Remote (WI or MN based candidates preferred) REPORTS TO: Quality Systems Manager DEPARTMENT ... Analyze defect trends using tools like AI, machine learning, and statistical modeling to catch ...

Good Culture

Quality Data Analyst

La Crosse, WI · On-site +1

Remote (WI or MN based candidates preferred) REPORTS TO: Quality Systems Manager DEPARTMENT ... Analyze defect trends using tools like AI, machine learning, and statistical modeling to catch ...

All JobsMachine Learning JobsMachine Learning Remote Internship JobsMachine Learning Remote Internship Jobs in Winona, MN

Machine Learning Remote Internship information

See Winona, MN salary details

$24.7K

$41.3K

$85.3K

How much do machine learning remote internship jobs pay per year?

As of Sep 3, 2026, the average yearly pay for machine learning remote internship in Winona, MN is $41,285.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,500.00 and $44,600.00 per year, depending on experience, location, and employer.

What is a machine learning remote internship?

A Machine Learning Remote Internship is a temporary, structured work experience where interns contribute to machine learning projects from a remote location, such as their home. Interns typically work with teams on tasks like data preprocessing, building models, and evaluating results, while gaining practical knowledge and mentoring. These internships are ideal for students or recent graduates looking to develop their skills in machine learning, programming, and data science without the need to relocate. They often involve working with Python, popular ML libraries, and real-world datasets. Communication and collaboration are maintained through online tools and regular meetings.

What types of projects can I expect to work on during a machine learning remote internship?

During a remote machine learning internship, you can expect to contribute to projects such as data preprocessing, model development, and performance evaluation. Interns often work on real-world datasets, applying techniques like regression, classification, clustering, or deep learning, depending on the organization's focus. Collaboration with data scientists, engineers, and other interns is common, typically via virtual meetings and shared code repositories. These projects provide hands-on experience and often culminate in presenting your findings to the team, offering valuable exposure to industry-standard workflows and tools.

What are the key skills and qualifications needed to thrive as a machine learning remote intern, and why are they important?

To thrive as a Machine Learning Remote Intern, you need a solid background in programming (especially Python), mathematics/statistics, and a foundational understanding of machine learning concepts, often gained through coursework or relevant projects. Familiarity with machine learning libraries (like TensorFlow, PyTorch, and scikit-learn), version control systems (such as Git), and cloud platforms is typically expected. Strong problem-solving abilities, self-motivation, and effective remote communication set top interns apart. These skills and qualities enable efficient collaboration, successful project delivery, and continuous learning in a dynamic, distributed work environment.

What is the difference between Machine Learning Remote Internship vs Data Science Intern?

AspectMachine Learning Remote InternshipData Science Intern
Required CredentialsBasic programming, math, and machine learning knowledgeStatistics, programming, and data analysis skills
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, data analysis and modeling tasks
Industry UsageTech, AI, startups, research labsTech, finance, healthcare, consulting
Search & Comparison IntentUnderstanding internship roles in MLExploring data science internship opportunities

Machine Learning Remote Internships focus on developing models and algorithms, often requiring knowledge of programming and math. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. While both roles are remote and industry-relevant, ML internships emphasize algorithm development, whereas data science roles focus on data analysis and visualization.

What cities near Winona, MN are hiring for Machine Learning Remote Internship jobs?

Cities near Winona, MN with the most Machine Learning Remote Internship job openings:

Machine Learning Remote Internship jobs near you
Infographic showing various Machine Learning Remote Internship job openings in Winona, MN as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $41,285 per year, or $19.8 per hour.

Agentic AI Workflow Engineer Project Experience Program

Sapsol Technologies Inc

Houston, MN • Remote

Full-time

Re-posted 27 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