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Machine Learning Intern Remote Jobs in Riegelwood, NC

All JobsMachine Learning Intern JobsMachine Learning Intern Remote JobsMachine Learning Intern Remote Jobs in Riegelwood, NC

Machine Learning Intern Remote information

See Riegelwood, NC salary details

$21K

$35.1K

$72.5K

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

As of Aug 11, 2026, the average yearly pay for machine learning intern remote in Riegelwood, NC is $35,065.00, according to ZipRecruiter salary data. Most workers in this role earn between $26,800.00 and $37,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Intern (Remote), a solid understanding of programming (especially Python), statistics, and foundational machine learning concepts—often supported by coursework or a relevant degree—is essential. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems (e.g., Git) is typically required, along with experience using data analysis libraries. Strong problem-solving skills, initiative, and clear communication are valuable soft skills for collaborating virtually and adapting to remote work environments. These skills and qualities enable effective contribution to projects, smooth team communication, and successful learning in a dynamic, distributed setting.

What types of projects can I expect to work on as a machine learning intern?

As a remote Machine Learning Intern, you can typically expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of models into production environments. You may also help with tasks like feature engineering, exploratory data analysis, and preparing technical documentation. Collaboration is usually done through virtual meetings and code repositories, and you'll often work closely with data scientists, engineers, and mentors who provide guidance and feedback. This hands-on experience helps you gain exposure to industry-standard tools and workflows, preparing you for more advanced roles in the future.

What does a machine learning intern do when working remotely?

A remote Machine Learning Intern typically assists with data collection, cleaning, and analysis, helps develop and test machine learning models, and collaborates with team members through virtual meetings and code repositories. They may also research new algorithms, document their work, and present findings to their supervisors. The role provides hands-on experience in applying machine learning concepts to real-world problems while working from a remote location.
What cities near Riegelwood, NC are hiring for Machine Learning Intern Remote jobs? Cities near Riegelwood, NC with the most Machine Learning Intern Remote job openings:
Machine Learning Intern Remote jobs near you
Infographic showing various Machine Learning Intern Remote job openings in Riegelwood, NC as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $35,065 per year, or $16.9 per hour.

GENAI / MACHINE LEARNING AI / DATA Scientist

Hudson Manpower

Wilmington, NC • On-site, Remote

Contractor

Re-posted 27 days ago

Job description

Hello,
I hope this message finds you well.
I'm reaching out to share an exciting opportunity that I believe aligns with your experience and expertise in the field for my client. If you are interested, I'd love to connect and share more details.
GenAI Engineer
100% Remote
**NO H1B Candidates** REST ALL CAN APPLY **
Only W2 Candidates
Experience - 10+ Years
Job description:-
Skill sets: Ability to develop prototypes, PoCs, MVPs using one or more of the following,
AI/ML Knowledge: Strong foundation in AI, deep learning, and machine learning principles.
Programming Skills: Expertise in Python and tools like Hugging Face, Langchain, and OpenAI API.
Deep Learning Frameworks: Experience with TensorFlow, Keras, and PyTorch.
Cloud Platforms: Familiar with Google Model Garden, Amazon Bedrock, and Nvidia Nim.
Multi-Modal Data and AI Tools: Experience with multi-modal data and intelligent agent-based tools.
Mindset: Self-motivated individual with a passion for solving hard problems using AI/GenAI. Must have collaborative and an innovative mindset.
Best regards,

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