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Machine Learning Remote Internship Jobs in Columbia, SC

TSMG

AI/ML Data Contributor

Columbia, SC · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

TSMG

AI/ML Data Contributor

Columbia, SC · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

Motorola

Senior DevOps Engineer (US REMOTE)

Lexington, SC · Remote

$140K - $170K/yr

Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ... Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ...

New

DataAnnotation

SDLC Engineer - AI Trainer

Columbia, SC · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

QA Engineer - AI Trainer

Columbia, SC · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

All JobsMachine Learning Remote Internship JobsMachine Learning Remote Internship Jobs in Columbia, SC

Machine Learning Remote Internship information

See Columbia, SC salary details

$23.6K

$39.4K

$81.4K

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

As of Jun 24, 2026, the average yearly pay for machine learning remote internship in Columbia, SC is $39,396.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,100.00 and $42,600.00 per year, depending on experience, location, and employer.

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 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 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 are popular job titles related to Machine Learning Remote Internship jobs in Columbia, SC? For Machine Learning Remote Internship jobs in Columbia, SC, the most frequently searched job titles are:
What job categories do people searching Machine Learning Remote Internship jobs in Columbia, SC look for? The top searched job categories for Machine Learning Remote Internship jobs in Columbia, SC are:
What cities near Columbia, SC are hiring for Machine Learning Remote Internship jobs? Cities near Columbia, SC with the most Machine Learning Remote Internship job openings:
Machine Learning Remote Internship jobs near you
Principal Machine Learning Engineer

Principal Machine Learning Engineer

Armis Security

North, SC • On-site, Remote

Other

Medical

Posted 19 days ago

Job description

AI Pipeline Engineer/  Principal Machine Learning Engineer - REMOTE

Strategic Initiatives Team

Armis is seeking a talented and motivated AI Pipeline Engineer to join our Strategic Initiatives team. Reporting to the Sr. Director of Engineering, this role will be instrumental in developing and optimizing our AI infrastructure.

Responsibilities:

  • Design, build, and maintain robust AI pipelines for data processing, model training, and deployment.
  • Collaborate with data scientists and engineers to implement cutting-edge AI solutions.
  • Optimize existing AI infrastructure for performance, scalability, and reliability.
  • Troubleshoot and resolve issues in the AI pipeline environment.
  • Document and maintain best practices for AI pipeline development and deployment
  • Develop and implement Minimum Viable Product (MVP) code for AI initiatives.
  • Collaborate with other engineers to transition MVP code to production-ready systems.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
  • Proven experience in building and managing AI/ML pipelines.
  • Proficiency in Python and other relevant programming languages.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
  • Strong understanding of data processing and machine learning concepts.

Salary range guidance for this position is:   $184,000- $250,000

Bonus  and Pre-IPO Equity

The salary range listed does not include other forms of compensation or benefits (e.g. i.e. bonuses, commissions, stocks, health insurance benefits, etc.) offered to candidates. Visit our careers site for more information on benefits at Armis.

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