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Machine Learning Unpaid Internship Jobs in Remote, OR

All JobsMachine Learning Unpaid JobsMachine Learning Unpaid Internship JobsMachine Learning Unpaid Internship Jobs in Remote, OR

Machine Learning Unpaid Internship information

See Remote, OR salary details

$25.5K

$42.5K

$87.9K

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

As of Aug 13, 2026, the average yearly pay for machine learning unpaid internship in Remote, OR is $42,542.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is a machine learning unpaid internship?

A Machine Learning Unpaid Internship is a temporary position where students or recent graduates work with professionals to gain practical experience in machine learning without receiving monetary compensation. Interns typically assist with data analysis, model development, and research tasks, while learning about real-world machine learning applications. These internships help individuals build relevant skills, expand their professional network, and improve their resumes for future job opportunities.

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

AspectMachine Learning Unpaid InternshipData Science Intern
Required CredentialsBasic programming, coursework in ML or AIStatistics, programming, data analysis skills
Work EnvironmentStartups, tech companies, research labsTech firms, consulting agencies, research institutions
Industry UsageFocus on ML model development and algorithmsBroader data analysis, visualization, reporting

The main difference is that a Machine Learning Unpaid Internship emphasizes developing ML models and algorithms, often requiring knowledge of programming and AI concepts. In contrast, a Data Science Intern role covers a wider range of data analysis tasks, including visualization and reporting. Both roles are common in tech and research environments, but the internship focus and skill requirements differ slightly.

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

To thrive as a Machine Learning Unpaid Intern, you should have a solid understanding of linear algebra, statistics, and programming languages like Python, along with coursework or experience in machine learning concepts. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically expected. Strong problem-solving skills, eagerness to learn, and effective communication set standout interns apart. These skills are essential for contributing to projects, adapting quickly in a dynamic field, and collaborating with team members on real-world machine learning challenges.

What kinds of projects and responsibilities can I expect during a machine learning unpaid internship?

As a machine learning unpaid intern, you will typically work on projects such as data preprocessing, model training, and performance evaluation under the guidance of experienced team members. Your daily tasks may include cleaning datasets, implementing algorithms, and conducting experiments to test model improvements. Interns often collaborate with data scientists and engineers, participating in team meetings and code reviews to learn best practices. This hands-on experience provides valuable exposure to real-world machine learning workflows and tools, helping you build skills that are essential for future roles in the field.
What are popular job titles related to Machine Learning Unpaid Internship jobs in Remote, OR? For Machine Learning Unpaid Internship jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Machine Learning Unpaid Internship jobs in Remote, OR look for? The top searched job categories for Machine Learning Unpaid Internship jobs in Remote, OR are:
Machine Learning Unpaid Internship jobs near you
Infographic showing various Machine Learning Unpaid Internship job openings in Remote, OR as of August 2026, with employment types broken down into 27% Internship, 26% Full Time, and 47% Part Time. Highlights an 100% In-person job distribution, with an average salary of $42,542 per year, or $20.5 per hour.

Summer High School App Development Startup Intern(Remote)

Hideouts

OR • On-site, Remote

$14 - $18.75/hr

Full-time, Temporary, Internship

Re-posted 17 days ago

Job description

Are you a total nerd when it comes to computer science? Are you looking for hands-on experience with app development and the world of tech startups? If so, this might just be the perfect fit for you!
We are actively looking for high school coders to work with both our technical teen co-founders and our network of professional iOS developers in order to build Hideouts. Our professional mentors are seasoned developers with years of experience at top companies in the industry like Google and YC, and they provide guidance to our all-teen team.
The beta version of Hideouts is currently available on the App Store, but we are continuing to work on updates, improvements, and new features. We are also simultaneously working on a web-based version of Hideouts as well.
Top interns from this program will be offered full-year Junior Developer positions. They may also be asked to join our team as a co-founder and receive a small portion of synthetic equity.
Please note: this internship is completely virtual and remote. Although this is an unpaid opportunity, we offer service hours as a benefit to our teen interns. Interns are responsible for procuring their own devices needed to work. This internship term is for the summer only, from June 8th-August 28th, 2021. If selected to interview, interviews will be scheduled for Spring break and we will email you.
If you have any questions, comments, or concerns please feel free to send them to [email protected]. Please link any available portfolios or previous work (i.e. Github, websites, links to apps, etc.) in your cover letter. We look forward to reviewing your application!
Requirements:
For applicants interested in the iOS app development team, proficiency with Swift and XCode is required. Experience with SwiftUI is recommended, but not required.
For applicants interested in the web development team, proficiency with HTML, DOM, and CSS is required. Experience with Firebase and React/Node.js is recommended, but not required.
Applicants must have a strong background in computer science fundamentals. We are looking for applicants who are team-oriented, excellent communicators, and have great time management skills. Prospective applicants should be available to work full time during the summer (roughly 30 hours a week) and must be entering grades 10-12 in high school.

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