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Remote Junior Machine Learning Intern Jobs (NOW HIRING)

Machine Learning Engineer (AI Data Trainer) About the Role What if your expertise in machine ... This is a fully remote, flexible contract role built for experienced ML and engineering ...

Remote About the job At Alignerr, we partner with the world's leading AI research teams and labs to ... Machine Learning Engineer - AI Data Trainer Type : Hourly Contract Compensation : $50-$70 /hour ...

... machine learning to real-world problems, and crafting scalable and effective ML/AI solutions ... We support remote applicants from all over the US but candidates who can come to the office 2-3 ...

Health insurance Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that ...

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Remote Junior Machine Learning Intern information

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$25.5K

$42.6K

$88K

How much do remote junior machine learning intern jobs pay per year?

As of Jun 19, 2026, the average yearly pay for remote junior machine learning intern in the United States is $42,584.00, 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 are some typical challenges faced by Remote Junior Machine Learning Interns when collaborating with distributed teams?

As a Remote Junior Machine Learning Intern, one common challenge is maintaining clear communication with team members across different time zones. It's important to be proactive in scheduling meetings, providing timely updates, and asking questions through collaboration tools like Slack or Microsoft Teams. Additionally, interns may need to manage their time effectively to balance independent learning with project deadlines. Adapting to remote code reviews and feedback loops can also take practice, but these experiences are valuable for building strong collaboration skills in a distributed environment.

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

AspectRemote Junior Machine Learning InternRemote Data Science Intern
Required CredentialsBasic programming skills, coursework in ML or AIStatistics, programming, data analysis coursework
Work EnvironmentCollaborative teams, online platforms, internship programsData analysis projects, research teams, remote settings
Industry UsageTech companies, startups, research labsBusiness analytics, tech, finance, healthcare
Search & Comparison IntentUnderstanding entry-level ML roles, internshipsExploring data analysis internship opportunities

The Remote Junior Machine Learning Intern typically focuses on developing machine learning models and algorithms, requiring basic programming and ML coursework. In contrast, the Remote Data Science Intern emphasizes data analysis, statistical skills, and interpreting data insights. Both roles are remote, often found in tech and research industries, but they serve different functions within data-driven projects.

What are Remote Junior Machine Learning Interns?

Remote Junior Machine Learning Interns are entry-level professionals who work remotely to assist with machine learning projects. They typically support data preprocessing, model development, and basic data analysis under the guidance of senior team members. These interns gain hands-on experience with tools like Python, TensorFlow, or PyTorch while learning about real-world applications of machine learning. The remote aspect allows them to collaborate with teams from anywhere, making it a flexible option for students or recent graduates interested in artificial intelligence and data science.

What are the key skills and qualifications needed to thrive as a Remote Junior Machine Learning Intern, and why are they important?

To thrive as a Remote Junior Machine Learning Intern, you need a solid grasp of programming (especially Python), foundational knowledge of machine learning concepts, and relevant coursework or a degree in computer science, mathematics, or a related field. Familiarity with tools and libraries such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically required. Strong problem-solving skills, self-motivation, and effective written communication are crucial for collaborating remotely and learning independently. These skills and qualities enable interns to contribute meaningfully to projects, adapt quickly to new challenges, and grow within distributed teams.
Infographic showing various Remote Junior Machine Learning Intern job openings in the United States as of June 2026, with employment types broken down into 33% Full Time, and 67% Part Time. Highlights an 100% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Machine Learning Intern/Co-op (Fall 2026)

Machine Learning Intern/Co-op (Fall 2026)

PathAI

Boston, NY • On-site, Remote

Internship

Posted 13 days ago


Job description

Who We Are
PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning and artificial intelligence. We have a track record of success in deploying AI algorithms for histopathology in translational research, pathology labs and clinical trials. Rigorous science and careful analysis is critical to the success of everything we do. Our team, composed of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact on patient outcomes.
Where You Fit
Our Intern/Co-op program is designed to give you a real-world view of what it's like to be a Machine Learning Engineer at PathAI. You will be embedded directly into our AI product and ML Core teams, working on active projects that have a direct impact on our technical roadmap and business goals.
You will collaborate with a cross-functional team of scientists, engineers, and product managers to translate clinical needs into scalable ML solutions. This is your chance to contribute to meaningful work that directly relates to patient outcomes.
Timeline: This opportunity is for Fall 2026. We are looking for interns/co-ops who can commit to 3-6 months at PathAI (4-6 months preferred).
Location: We have offices in Boston, MA and New York, NY and would prefer interns/co-ops who can work from one of those locations-however, we will also consider remote candidates (US based only).
What You'll Do
  • Contribute to the design, development, and evaluation of machine learning models for our AI products, AI services and core ML models.
  • Work on subprojects derived from our ongoing ML product roadmap, focusing on areas like model improvements with novel techniques.
  • Partner with our MLOps and platform teams to help build and improve our ML pipelines.
  • Participate in experimental design, analysis, and team knowledge-sharing initiatives like design reviews, technical forums and journal clubs.
What You Bring
  • Currently pursuing a M.S., or Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering with a focus on Computer Vision and Machine Learning.
  • Strong programming skills in Python and hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow).
  • A solid grasp of the fundamentals of machine learning and/or computer vision.
  • Excellent communication skills and a desire to work in a highly collaborative, cross-functional environment.
  • A passion for our mission to improve patient outcomes.
  • [Nice-to-have] Any high impact contributions through any AI/ML publications, open-source projects and any AI based products.

We are looking for team players who are passionate about what they do and are willing to tackle any task to contribute to our goals. You could be exactly who we are looking for!
We Want To Hear From You
At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.
PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications - that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.