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Machine Learning Intern Jobs in Salem, NH (NOW HIRING)

AI Annotator Intern

Sudbury, MA ยท On-site

$15.75 - $21/hr

Work in close collaboration with Gentuity's software and machine learning teams, system engineers and external clinical collaborators. Requirements Interest in artificial intelligence, image ...

The intern will collaborate closely with software developers, AI engineers, and product managers to ... Validate machine learning surrogate models against high-fidelity CFD simulations and experimental ...

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Machine Learning Intern information

See Salem, NH salary details

$25.5K

$42.5K

$87.9K

How much do machine learning intern jobs pay per year?

As of Aug 13, 2026, the average yearly pay for machine learning intern in Salem, NH is $42,519.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,400.00 and $45,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What does a machine learning intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

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

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What types of projects do machine learning interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What does a machine learning intern do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

What job categories do people searching Machine Learning Intern jobs in Salem, NH look for? The top searched job categories for Machine Learning Intern jobs in Salem, NH are:
What cities near Salem, NH are hiring for Machine Learning Intern jobs? Cities near Salem, NH with the most Machine Learning Intern job openings:
Infographic showing various Machine Learning Intern job openings in Salem, NH as of August 2026, with employment types broken down into 1% As Needed, 58% Full Time, 38% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $42,519 per year, or $20.4 per hour.

AI Annotator Intern

Gentuity LLC

Sudbury, MA โ€ข On-site

$15.75 - $21/hr

Internship

Re-posted 5 days ago


Job description

Job Type
Internship
Description
You will work with an experienced engineering team working on building AI algorithms for medical image analysis. The candidates will have an opportunity to contribute to several key AI projects and learn from domain experts during the process.
Project Scope
Gentuity is developing a novel diagnostic technology that is applicable to the treatment of cardiovascular diseases. This project will involve your participation in the development of datasets that artificial intelligence (AI) methods will use for the automated analysis of medical images.
Responsibilities
Participate in a key component of developing AI algorithms, that is, the creation and management of labeled data.
Work in close collaboration with Gentuity's software and machine learning teams, system engineers and external clinical collaborators.
Requirements
Interest in artificial intelligence, image processing, medical imaging devices, and neurovascular or cardiovascular diseases. Currently enrolled in a science, technology, medical, biology, computer or related program.
Candidates need to be able to provide their own transportation to and from the Gentuity's office located in Sudbury, MA.