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Artificial Intelligence Machine Learning Remote Jobs in Hampton, VA

DCIM Administrator

Hampton, VA · On-site +1

$86K - $198K/yr

Ability to collaborate with other analysts to deploy machine learning models and enable advanced ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

DCIM Administrator

Hampton, VA · On-site +1

$86K - $198K/yr

Ability to collaborate with other analysts to deploy machine learning models and enable advanced ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Remote Insurance Sales Agent | $60k-$110k+ First Year | No Cold Calling Earn strong first-year ... We may use automated tools, including artificial intelligence (AI), to screen and assess candidates.

Remote Insurance Agent

Norfolk, VA · Remote

$60K - $110K/yr

Remote Insurance Sales Agent | $60k-$110k+ First Year | No Cold Calling Earn strong first-year ... We may use automated tools, including artificial intelligence (AI), to screen and assess candidates.

Technology Transactions Counsel

Chesapeake, VA · On-site +1

$350K - $410K/hr

Remote (opportunity to work from our SF office) The Role We are looking for a high-potential ... Experience with data licensing, artificial intelligence, privacy, or data protection. * Familiarity ...

Remote Insurance Agent

Norfolk, VA · Remote

$69K - $150K/yr

Build a rewarding remote career helping individuals and families protect what matters most. Enjoy ... We may use automated tools, including artificial intelligence (AI), to screen and assess candidates.

Showing results 41-60

Artificial Intelligence Machine Learning Remote information

See Hampton, VA salary details

$24.6K

$41.2K

$85K

How much do artificial intelligence machine learning remote jobs pay per year?

As of Sep 7, 2026, the average yearly pay for artificial intelligence machine learning remote in Hampton, VA is $41,154.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,400.00 and $44,500.00 per year, depending on experience, location, and employer.

What are artificial intelligence machine learning remote jobs?

Artificial Intelligence (AI) Machine Learning (ML) remote jobs are positions where professionals work from home or any location outside a traditional office to develop, implement, and improve AI and ML systems. These roles typically involve building algorithms, analyzing data, training models, and deploying solutions for various applications such as natural language processing, computer vision, or predictive analytics. Remote AI/ML jobs offer flexibility and often require strong programming skills, knowledge of data science, and experience with frameworks like TensorFlow or PyTorch. Employers may range from tech companies to startups, research institutions, and consultancies. The demand for remote AI/ML professionals continues to grow as more organizations embrace digital transformation.

What are some typical challenges faced by remote artificial intelligence machine learning professionals, and how can they be addressed?

Remote AI/ML professionals often encounter challenges such as effective collaboration with cross-functional teams, maintaining clear communication on complex technical topics, and accessing necessary computational resources. These can be addressed by leveraging collaborative tools (like Slack, GitHub, and Zoom), establishing regular check-ins with colleagues, and utilizing cloud-based platforms for scalable computing. Proactively sharing progress and blockers also helps ensure alignment and project momentum, making remote work both productive and engaging.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer working remotely, and why are they important?

To thrive as an Artificial Intelligence/Machine Learning Engineer in a remote role, you need strong programming skills (especially in Python or R), a solid understanding of algorithms and statistics, and typically a degree in computer science or a related field. Proficiency with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms (like AWS or Azure), and familiarity with version control systems (e.g., Git) are crucial. Excellent problem-solving abilities, self-motivation, and clear written communication help remote engineers collaborate effectively and drive projects forward. These skills ensure technical competence, productivity, and seamless teamwork in a distributed work environment.

Is artificial intelligence machine learning a good career?

Artificial intelligence and machine learning are rapidly growing fields with high demand for skilled professionals. Careers in these areas often require knowledge of programming, data analysis, and algorithms, and can offer competitive salaries and remote work opportunities. The field is suitable for individuals interested in technology, problem-solving, and continuous learning.

What are popular job titles related to Artificial Intelligence Machine Learning Remote jobs in Hampton, VA?

For Artificial Intelligence Machine Learning Remote jobs in Hampton, VA, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Remote jobs in Hampton, VA look for?

The top searched job categories for Artificial Intelligence Machine Learning Remote jobs in Hampton, VA are:

What cities near Hampton, VA are hiring for Artificial Intelligence Machine Learning Remote jobs?

Cities near Hampton, VA with the most Artificial Intelligence Machine Learning Remote job openings:

Infographic showing various Artificial Intelligence Machine Learning Remote job openings in Hampton, VA as of August 2026, with employment types broken down into 4% Internship, 53% Full Time, 26% Part Time, 4% Temporary, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $41,154 per year, or $19.8 per hour.

Strategic Student Program: AI & Engineering Data Internship (Spring 2027, GSCS)

Siemens

Virginia Beach, VA • Remote

$18 - $50/hr

Full-time, Internship

Retirement

Posted 4 days ago


Siemens rating

7.7

Company rating: 7.7 out of 10

Based on 100 frontline employees who took The Breakroom Quiz

271st of 453 rated engineering


Job description

Siemens Digital Industries Software

Strategic Student Program (SSP)

Discover your career with us at Siemens Digital Industries Software!

We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation- helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking and focuses on growth, so our people, our business, and our customers can achieve their full potential.

We're currently recruiting co-ops and interns for our Spring 2027 Strategic Student Program. Our opportunities will allow you to find a career path that most inspires you. Here, you will apply your education to solve real-world problems and turn theory into practice. At Siemens, our goal is to empower our students to become the next leaders of our company.

Baseline Program Requirements:

  • Currently enrolled as an undergraduate student at an accredited university
  • Legally authorized to work in the United States without the need for current or future sponsorship by the company
  • A minimum 3.0 GPA

Perks:

  • Employee discounts at our top customer sites
  • Networking with our global leaders
  • Mentorship from senior employees
  • Individual career development planning
  • Professional and technical workshops
  • Paid volunteer time off
  • Energetic student community
  • Leadership opportunities
  • Potential for full-time offers after university graduation and completion of the program

Position Overview:

Siemens Digital Industries Software is seeking an AI & Engineering Data Intern to support emerging Artificial Intelligence and Digital Thread initiatives within the Capital PreSales organization. This role provides hands-on experience applying AI technologies to engineering challenges across aerospace, defense, and automotive industries.

The intern will help create and manage engineering datasets, investigate AI-assisted workflows, and support projects that demonstrate how Digital Threads enable intelligent decision-making throughout the product lifecycle. The role combines engineering, software, data management, and AI technologies to develop innovative customer-facing demonstrations and internal capabilities.

Key Responsibilities:

  • Develop and curate engineering datasets for AI, analytics, and demonstration use cases.
  • Support AI and generative AI proof-of-concepts involving engineering and Digital Thread data.
  • Assist in connecting systems, software, and electrical engineering information into reusable data models.
  • Evaluate and document AI-assisted engineering workflows and use cases.
  • Build dashboards, reports, and visualizations that communicate engineering insights.
  • Support technical enablement activities and customer demonstration development.

Requirements:

  • Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial
  • Comfortable working in a fully remote environment within the United States of America.
  • Intelligence, Software Engineering, Systems Engineering, or a related discipline.
  • Experience with Python, data analytics, machine learning, or AI technologies.
  • Familiarity with digital engineering, PLM, or engineering data management concepts is a plus.
  • Strong communication, collaboration, and problem-solving skills.
  • Passion for applying emerging technologies to real-world engineering challenges.

#LI-PLM

#LI-Remote

#SWSaaS

You'll Benefit From

The hourly pay range for this position $18 - $50 per hour, based off of your projected graduation year. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Additionally, interns for Siemens are eligible to contribute into our 401K program.

Equal Employment Opportunity Statement

Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

EEO is the Law

Applicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law.

Reasonable Accommodations

If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form. If you're unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status.

Pay Transparency

Siemens follows Pay Transparency laws.

Application Deadline

This role will be posted for a minimum of five (5) days from the original posting date. The posting timeline may change based on applicant volume to ensure we attract and consider a strong and representative candidate pool.

California Privacy Notice

California residents have the right to receive additional notices about their personal information. To learn more, click here.

Criminal History

Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.


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