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Machine Learning Contract Remote Jobs in High Point, NC

Varsity Tutors

Statics Tutor

Greensboro, NC · Remote

$40/hr

... machines, centroids, moments of inertia, friction, and distributed forces. Ability to explain ... for learning. Please note: Varsity Tutors does not contract in: Alaska, California, Colorado ...

Varsity Tutors

Statics Tutor

Winston Salem, NC · Remote

$40/hr

... machines, centroids, moments of inertia, friction, and distributed forces. Ability to explain ... for learning. Please note: Varsity Tutors does not contract in: Alaska, California, Colorado ...

Moderna

Intern, CMC Development (Summer 2027)

Elon, NC · On-site +1

$20 - $60/hr

... remote work . Here's What You'll Do * Work with a team of highly skilled experts to come up to ... external contract manufacturing sites. * Participate in planning, design, execution, analysis of ...

Workiva

Spring 2027 Intern - Sales Analyst

Elon, NC · On-site +1

$21/hr

You will assist with sales data analysis, contract renewal engagement, revenue retention support ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

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All JobsMachine Learning Contract JobsMachine Learning Contract Remote JobsMachine Learning Contract Remote Jobs in High Point, NC

Machine Learning Contract Remote information

See High Point, NC salary details

$22.8K

$38K

$78.5K

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

As of Sep 13, 2026, the average yearly pay for machine learning contract remote in High Point, NC is $37,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,000.00 and $41,000.00 per year, depending on experience, location, and employer.

What is a machine learning contract remote job?

Machine learning contract remote jobs are temporary work opportunities where professionals use machine learning techniques to solve problems for organizations, but do so remotely, often from home or another location. These roles typically involve building, training, and deploying models, analyzing data, and collaborating with teams virtually. Contracts can vary in length and scope, allowing flexibility for both the employer and the worker. These positions are ideal for individuals seeking project-based work or more flexible schedules, and require strong technical skills and the ability to communicate effectively online.

What skills and qualifications are needed to thrive as a machine learning contractor in a remote role?

To thrive as a Machine Learning Contractor working remotely, you need strong proficiency in mathematics, programming (typically Python), and a solid understanding of machine learning algorithms, usually supported by a relevant degree or equivalent experience. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and cloud platforms such as AWS or Azure is essential, as well as experience with version control systems like Git. Excellent self-motivation, time management, and communication skills help you effectively collaborate with distributed teams and manage multiple projects independently. These competencies are crucial for delivering high-quality, scalable solutions and meeting client expectations in a flexible, remote work environment.

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

Remote machine learning contractors often face challenges such as managing communication across time zones, accessing necessary data securely, and staying aligned with the client's project expectations. To address these, it’s important to establish clear communication channels, use secure data transfer protocols, and schedule regular check-ins with project stakeholders. Building strong documentation habits and leveraging collaborative tools like version control or shared notebooks can also help ensure smooth workflow and project transparency.

What is the difference between Machine Learning Contract Remote vs Data Scientist Contract Remote?

AspectMachine Learning Contract RemoteData Scientist Contract Remote
Required CredentialsDegree in Computer Science, Data Science, or related field; experience with ML frameworksDegree in Statistics, Data Science, or related; proficiency in data analysis tools
Work EnvironmentRemote, project-based, often collaborative with ML engineersRemote, analytical, often cross-functional teams
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting
Common Search & ComparisonYesYes

Machine Learning Contract Remote roles focus on developing and deploying ML models, requiring specialized skills in algorithms and frameworks. Data Scientist Contract Remote positions emphasize data analysis, statistical modeling, and insights generation. While both roles often work remotely and share similar credentials, their core responsibilities differ, making this comparison useful for job seekers exploring related opportunities.

What are popular job titles related to Machine Learning Contract Remote jobs in High Point, NC?

For Machine Learning Contract Remote jobs in High Point, NC, the most frequently searched job titles are:

What job categories do people searching Machine Learning Contract Remote jobs in High Point, NC look for?

The top searched job categories for Machine Learning Contract Remote jobs in High Point, NC are:

What cities near High Point, NC are hiring for Machine Learning Contract Remote jobs?

Cities near High Point, NC with the most Machine Learning Contract Remote job openings:

Machine Learning Contract Remote jobs near you
Infographic showing various Machine Learning Contract Remote job openings in High Point, NC as of June 2026, with employment types broken down into 77% Full Time, 5% Part Time, and 18% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $37,993 per year, or $18.3 per hour.

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

High Point, NC • Remote

Siemens
Machinery Manufacturing • 10K+ employees
Learn more about Siemensexternal

$18 - $50/hr

Full-time, Internship

Retirement

Posted 9 days ago

Siemens rating

7.7

Company rating: 7.7 out of 10

Based on 100 frontline employees who took The Breakroom Quiz

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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