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Internship Machine Learning Jobs in Ohio (NOW HIRING)

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Internship Machine Learning information

See Ohio salary details

$24.2K

$40.5K

$83.7K

How much do internship machine learning jobs pay per year?

As of May 28, 2026, the average yearly pay for internship machine learning in Ohio is $40,484.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,900.00 and $43,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Machine Learning, and why are they important?

To thrive as a Machine Learning Intern, you generally need a solid grounding in mathematics, programming (especially Python), and familiarity with machine learning concepts, often supported by coursework or relevant projects. Experience with tools and libraries like TensorFlow, scikit-learn, and Jupyter Notebooks, as well as knowledge of version control systems like Git, is typically expected. Strong problem-solving skills, willingness to learn, and effective communication set outstanding interns apart. These skills and qualities enable interns to contribute meaningfully to projects, adapt quickly, and collaborate well within technical teams.

What types of projects can I expect to work on during a Machine Learning internship?

As a Machine Learning intern, you may work on a variety of projects such as data preprocessing and cleaning, developing and testing machine learning models, or assisting with research experiments. These projects often involve collaborating closely with data scientists and engineers, learning to use popular frameworks like TensorFlow or PyTorch, and presenting your findings to the team. The scope and complexity of your assignments will typically grow as you demonstrate proficiency and initiative, providing valuable real-world experience and networking opportunities.

What are internship machine learning positions?

Internship machine learning positions are temporary roles for students or recent graduates to gain hands-on experience in the field of machine learning. Interns typically work on real-world projects involving data analysis, model development, and algorithm implementation under the guidance of experienced professionals. These internships provide valuable exposure to machine learning tools, programming languages such as Python, and industry best practices. They are an excellent way to build technical skills, enhance your resume, and explore career opportunities in artificial intelligence and data science.

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

AspectInternship Machine LearningData Science Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, programming, data analysis basics
Work EnvironmentHands-on ML model development, codingData analysis, visualization, reporting
Industry UsageTech, AI companies, research labsBusiness, finance, healthcare sectors

Internship Machine Learning focuses on developing and implementing machine learning models, requiring programming and ML fundamentals. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. Both roles are common in tech and research industries, but ML internships are more specialized in model building, while Data Science internships emphasize data analysis and visualization.

What are the most commonly searched types of Machine Learning jobs in Ohio? The most popular types of Machine Learning jobs in Ohio are:
What job categories do people searching Internship Machine Learning jobs in Ohio look for? The top searched job categories for Internship Machine Learning jobs in Ohio are:
Machine Learning Engineer - Coding - Remote

Machine Learning Engineer - Coding - Remote

Outlier AI

Delaware, OH โ€ข Remote

Part-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Outlier helps the worlds most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw?

We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows.

Whether you are a passionate orchestration guru or experienced software developer -- we want you to help us train the world's most advanced generative systems.


About the opportunity:

  • Outlier is looking for skilled software experts to help train generative AI models.
  • This freelance role is fully remote and offers flexible hoursyou can contribute whenever it fits your schedule.


You may contribute your expertise by

  • Developing objective, verifiable criteria (rubrics) to evaluate system performance and ensure outputs meet strict functional requirements.
  • Reviewing system logs and "trajectories" to refactor code, improve execution paths, and reach a "Golden Path" of perfect reliability
  • Testing systems for vulnerabilities, including improper data exposure, unauthorized access escalations, and edge-case failures.


Were looking for people with

  • 2+ years of experience in backend engineering, AI automation, or complex systems integration
  • Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting)
  • Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases
  • Practical experience building for live, non-mocked environments and handling multi-turn system interactions.
  • Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors



Nice to have

  • Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output
  • Hands on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems
  • High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress.
  • Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.


Payment:

  • Project work: Earn up to USD $35 per hour for core project work
  • Additional incentives: On average, Outlier Contributors earn an additional 7.5% on top of the core project rates through Missions Outlier's version of surge pricing. The top quartile of contributors boost their earnings by an average of 11%.
  • Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates apply. Additional incentives data is based on payments made in the past six months and is updated quarterly. Certain projects offer incentive payments. Please review the payment terms for each project.


PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with the Outlier Privacy Policy and our internal policies and programs designed to protect personal data.

This is a 1099 contract opportunity on the Outlier.ai platform. Because this is a freelance opportunity, we do not offer internships, sponsorship, or employment. You must be authorized to work in your country of residence. If you are an international student, you may be able to sign up for Outlier if you are on a visa. You should contact your tax and/or immigration advisor with specific questions regarding your circumstances.