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Machine Learning Contract Remote Jobs in Franklin, OH

Sales Engineer (gn)

Dayton, OH · Remote

$80K - $100K/yr (+ commission)

We make machine data usable, reliable, and valuable across the entire organization. We are ... Personal learning and development budget and guidance Your Role * Work with the sales team to ...

Remote Company Overview: ITW Pro Brands is a manufacturer of lubricants, cleaning chemicals, and ... Shared risk : collaborating as a team, taking joint responsibility, and learning from trial and ...

Supply chain focus with a majority of your time invested in learning our business and aligning to ... Ability to propose winning solutions and negotiate contract terms * Participate in ongoing training ...

DevOps Engineer

Beavercreek, OH · On-site +1

$61K - $141K/yr

Remote Work: Hybrid Job Number: R0242669 Location: Beavercreek,OH,US Share job via: Share DevOps ... You'll apply your skills within an AWS DevOps framework to establish or provision virtual machines ...

DevOps Engineer

Beavercreek, OH · On-site +1

$61K - $141K/yr

Remote Work: Hybrid Job Number: R0248009 Location: Beavercreek,OH,US Share job via: Share DevOps ... You'll apply your skills within an AWS DevOps framework to establish or provision virtual machines ...

DevOps Engineer

Dayton, OH · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0246720 Location: Dayton,OH,US Share job via: Share DevOps Engineer ... You'll sharpen your skills within a DevOps framework to establish or provision virtual machines or ...

Showing results 41-52

Machine Learning Contract Remote information

See Franklin, OH salary details

$23.5K

$39.2K

$81.1K

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

As of Sep 8, 2026, the average yearly pay for machine learning contract remote in Franklin, OH is $39,241.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,900.00 and $42,400.00 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.

Visiting Faculty - Applied Computing and Engineering Technology

Miami University

Hamilton, OH • On-site, Remote

Part-time

Re-posted 11 days ago


Job description

Job Title

Visiting Faculty - Applied Computing and Engineering Technology

Department

Applied Computing and Engineering Technology Department JM

Worker Type

Fixed Term (Fixed Term)

Pay Type

Period Activity Pay

Benefit Eligible

No

Job Description Summary

The Department of Applied Computing and Engineering Technology (ACET) at Miami University Regionals invites applications for Visiting Faculty positions to teach undergraduate courses in Engineering Technology and Information Technology on a per-course basis. Course assignments are made on a semester basis and are taught at Miami University's Hamilton Campus, Advanced Manufacturing Hub, located at 101 Knightsbridge Drive, Hamilton, Ohio 45011. Courses may be offered in face-to-face, hybrid, or online formats and may be scheduled during the day or evening.

Job Description

Minimum Qualifications

Master's degree in Engineering, Engineering Technology, Information Technology, Computer Science, Cybersecurity, or a closely related discipline by the date of appointment;orbachelor's degree in a closely related discipline with at least five (5) years of relevant industry experience by the date of appointment.

Consideration may be given to candidates with expertise in one or more areas of Engineering Technology or Information Technology, including manufacturing, mechanical, electrical, computer, robotics, automation, mechatronics, industrial controls, CNC machining, CAD/CAM, programming, cybersecurity, networking, cloud computing, data analytics, artificial intelligence, database systems, and software development. Additional consideration will be given to candidates with postsecondary teaching experience, experience delivering face-to-face, hybrid, or online instruction, relevant industry experience, professional licensure or industry certifications, and a demonstrated commitment to excellence in teaching.

Additional Position Information (if applicable)

Required Application Documents

resume/CV,

Special Instructions (if applicable)

none

Additional Information

A criminal background check is required. All campuses are smoke- and tobacco-free campuses.

This organization participates in E-Verify.

Remote Work
For positions that are approved for remote work: Remote work is not a right, it is a work arrangement that can be modified or revoked by Miami University at any time for any reason, including the convenience of the University.


Reasonable Accommodations
Requests for reasonable accommodations for disabilities related to employment should be directed to ADAFacultyStaff@miamioh.edu or 513-529-3560. Questions and follow-ups regarding requests should also be directed here.

Miami University Values Statement
Miami University is a scholarly community whose members believe that a liberal education is grounded in qualities of character as well as of intellect. We respect the dignity of other persons, the rights and property of others, and the right of others to hold and express disparate beliefs. We believe in honesty, integrity, and the importance of moral conduct. We defend the freedom of inquiry that is the heart of learning and combine that freedom with the exercise of judgment and the acceptance of personal responsibility.

For more information on Miami University's mission and core values, please visit the Mission and Core Values webpage.


Equal Opportunity/Affirmative Action Statement
Miami University, an Equal Opportunity/Affirmative Action employer, encourages applications from protected veterans and individuals with disabilities. Miami University prohibits harassment, discrimination and retaliation on the basis of age (40 years or older), color, disability, gender identity or expression, genetic information, military status, national origin (ancestry), pregnancy, race, religion, sex/gender, status as a parent or foster parent, sexual orientation, or protected veteran status in its application and admission processes, educational programs and activities, facilities, programs or employment practices. Requests for reasonable accommodations for disabilities related to employment should be directed to ADAFacultyStaff@miamioh.edu or 513-529-3560.

Clery Act
As part of the University's commitment to maintaining a healthy and safe living, learning, and working environment, we encourage you to read Miami University's Annual Security & Fire Safety Report at: http://www.MiamiOH.edu/campus-safety/annual-report/index.html, which contains information about campus safety, crime statistics, and our drug and alcohol abuse and prevention program designed to prevent the unlawful possession, use, and distribution of drugs and alcohol on campus and at university events and activities. This report also contains information on programs and policies designed to prevent and address sexual violence, domestic violence, dating violence, and stalking. Each year, email notification of this website is made to all faculty, staff, and enrolled students. Written notification is also provided to prospective students and employees. Hard copies of the Annual Security & Fire Safety Report may be obtained from the Miami University Police Department at 513-529-2223.


Labor Law Posters for Applicants

Please visit our Labor Law Posters webpage to access all relevant and applicable labor law information.