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Remote Deep Learning Jobs in North Carolina (NOW HIRING)

Sunergi Inc

$110K - $140K/yr

Previous experience with statistical modeling and deep learning frameworks / libraries we use is required. * Strong aptitude for learning new technologies related to Data Management and Data Science.

galore staffing

This position involves using deep learning, neuro-linguistic programming (NLP), computer vision ... hours and remote work options. Employer Details Galore Creative Staffing offers competitive ...

EDCLUB, INC

UI/UX Designer

Albemarle, NC · Remote

We create comprehensive, high-quality courses that inspire curiosity and facilitate deep learning ... will be fully remote, as our headquarters are located in Rockville, Maryland, USA. Key ...

Booz Allen Hamilton, Inc.

Data Scientist

Fayetteville, NC · On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Experience selecting, training, evaluating, and tuning machine learning or deep learning algorithms ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Cengage Learning

Sr Financial Analyst (Remote)

Concord, NC · Remote

$79K - $99K/yr

We believe in the power and joy of learning At Cengage, our employees have a direct impact in ... Develop a deep understanding of business drivers and proactively identify risks and opportunities

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All JobsDeep Learning JobsRemote Deep Learning JobsRemote Deep Learning Jobs in North Carolina

Remote Deep Learning information

See North Carolina salary details

$21

$49

$75

How much do remote deep learning jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for remote deep learning in North Carolina is $49.54, according to ZipRecruiter salary data. Most workers in this role earn between $40.10 and $61.30 per hour, depending on experience, location, and employer.

What is a remote deep learning engineer?

A Remote Deep Learning job involves working with artificial intelligence and machine learning models, particularly using deep neural networks, from a location outside a traditional office, often from home. Professionals in this field design, build, and optimize algorithms that enable computers to learn from large amounts of data. They often work on projects such as image and speech recognition, natural language processing, or autonomous systems. The remote aspect allows flexibility and access to global opportunities, but requires strong communication skills and the ability to collaborate virtually with teams.

What are common challenges faced by remote deep learning engineers, and how can they be addressed?

Remote deep learning engineers often encounter challenges such as limited access to high-performance computing resources, communication barriers with distributed teams, and difficulties in collaborating on large codebases or datasets. These issues can be mitigated by leveraging cloud-based platforms for scalable computing, using clear communication tools like Slack or Zoom for regular check-ins, and employing version control systems like Git for collaborative code management. Proactively setting up workflows and documentation helps ensure smooth collaboration and project continuity within a remote environment.

What is the difference between Remote Deep Learning vs Remote Machine Learning Engineer?

AspectRemote Deep LearningRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with neural networksBachelor's/Master's in CS, Data Science, or related; experience with algorithms and data modeling
Work EnvironmentCollaborative teams, research-focused, often in tech or AI companiesDevelopment teams, data-driven projects, across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, e-commerce

Remote Deep Learning specialists focus on designing and training neural networks for AI applications, often requiring advanced knowledge of deep neural architectures. Remote Machine Learning Engineers work on developing algorithms and models for broader data analysis and predictive tasks. While both roles involve machine learning, deep learning emphasizes neural networks, whereas machine learning engineers may work with a variety of algorithms across industries.

What skills and qualifications are needed to thrive as a remote deep learning engineer?

To thrive as a Remote Deep Learning Engineer, you need strong programming skills in Python, a deep understanding of machine learning algorithms, and typically a degree in computer science, engineering, or a related field. Proficiency with frameworks like TensorFlow or PyTorch, as well as cloud computing platforms such as AWS or Google Cloud, is essential, and certifications in these technologies can be advantageous. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These skills ensure effective development, deployment, and maintenance of deep learning models while working independently in distributed teams.
What are the most commonly searched types of Deep Learning jobs in North Carolina? The most popular types of Deep Learning jobs in North Carolina are:
What are popular job titles related to Remote Deep Learning jobs in North Carolina? For Remote Deep Learning jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Remote Deep Learning jobs in North Carolina look for? The top searched job categories for Remote Deep Learning jobs in North Carolina are:
What cities in North Carolina are hiring for Remote Deep Learning jobs? Cities in North Carolina with the most Remote Deep Learning job openings:
Remote Deep Learning jobs near you
Infographic showing various Remote Deep Learning job openings in North Carolina as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $103,036 per year, or $49.5 per hour.

GENAI / MACHINE LEARNING AI / DATA Scientist

Hudson Manpower

Wilmington, NC • On-site, Remote

Contractor

Re-posted 29 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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