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Freelance Machine Vision Engineer Jobs (NOW HIRING)

Develop and implement machine vision solutions for quality inspection, defect detection, robot ... Work with engineering functions, suppliers, plant personnel and others to implement cost reduction ...

Develop and implement machine vision solutions for quality inspection, defect detection, robot ... Work with engineering functions, suppliers, plant personnel and others to implement cost reduction ...

Develop and implement machine vision solutions for quality inspection, defect detection, robot ... Work with engineering functions, suppliers, plant personnel and others to implement cost reduction ...

Computer Vision Engineer

San Diego, CA · On-site

$112K - $130K/yr

This role blends algorithm development, machine vision, and performance optimization in a fast-paced, hardware-integrated environment. This position reports to the Firmware Engineer Manager and is ...

Computer Vision Engineer

San Diego, CA · On-site

$112K - $130K/yr

This role blends algorithm development, machine vision, and performance optimization in a fast-paced, hardware-integrated environment. This position reports to the Firmware Engineer Manager and is ...

Computer Vision Engineer

Fremont, CA · On-site

$122K - $143K/yr

Computer Vision Engineer Location: Fremont, CA Key Skills: C#/C++ programming Computer vision tasks ... In addition, machine vision and machine learning technologies are being incorporated into the ...

Computer Vision Engineer

Fremont, CA · On-site

$122K - $143K/yr

Computer Vision Engineer Location: Fremont, CA Key Skills: C#/C++ programming Computer vision tasks ... In addition, machine vision and machine learning technologies are being incorporated into the ...

Sr. Engineer, Machine Vision

Corning, NY · On-site

$95K - $131K/yr

Utilize novel computer vision and machine learning methods to perform object detection ... Train engineering, maintenance, and operations personnel to use and maintain measurement systems.

Robotic Vision Engineer Pay Range: $38-$49/hour Location: 12200 Brookpark Rd, Parma, OH 44130 ... Work directly with Keyence, Photoneo, and Matrox camera systems to set up and maintain machine ...

Computer Vision Engineer

San Diego, CA · On-site

$112K - $130K/yr

This role blends algorithm development, machine vision, and performance optimization in a fast-paced, hardware-integrated environment. This position reports to the Firmware Engineer Manager and is ...

Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) * Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and their ...

Sr. Engineer, Machine Vision

Corning, NY · On-site

$95K - $131K/yr

Utilize novel computer vision and machine learning methods to perform object detection ... Train engineering, maintenance, and operations personnel to use and maintain measurement systems.

... Machine Learning. * As a computer vision engineer, you will be using cutting-edge vision and AI algorithms to integrate into robotics systems designed by worldwide teams of software, mechatronics ...

Partners with engineering, operations, maintenance, and external suppliers to define system ... Strong knowledge in machine vision 2D/3D technologies for high-speed applications along with ...

Computer Vision R&D Engineer

San Diego, CA · On-site

$217K/yr

... Machine Learning. As a computer vision engineer, you will be using cutting-edge vision and AI algorithms to integrate into robotics systems designed by worldwide teams of software, mechatronics ...

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Freelance Machine Vision Engineer information

See salary details

$31.5K

$128.8K

$193.5K

How much do freelance machine vision engineer jobs pay per year?

As of Jun 4, 2026, the average yearly pay for freelance machine vision engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Freelance Machine Vision Engineer, and why are they important?

To excel as a Freelance Machine Vision Engineer, you need a solid background in computer vision, image processing, and programming, typically supported by a degree in engineering, computer science, or a related field. Familiarity with tools like OpenCV, MATLAB, TensorFlow, and industrial camera systems, as well as relevant certifications, is highly valuable. Strong problem-solving skills, effective communication, and the ability to work independently distinguish top performers in this role. These capabilities are crucial for delivering innovative, client-focused solutions and adapting to diverse project requirements in a rapidly evolving industry.

How do freelance machine vision engineers typically manage client expectations and project timelines?

Freelance machine vision engineers often balance multiple projects and clients, making clear communication essential for managing expectations and deadlines. They usually begin by setting detailed project scopes, deliverables, and realistic timeframes in consultation with clients. Regular progress updates, milestone check-ins, and transparent reporting help prevent misunderstandings and ensure alignment throughout the development process. By proactively addressing potential challenges and being adaptable to changes, freelancers can maintain client satisfaction and build long-term relationships.

What is a Freelance Machine Vision Engineer?

A Freelance Machine Vision Engineer is a specialist who designs, develops, and implements computer vision systems on a project or contract basis. These professionals work independently with various clients to create solutions that enable machines to interpret and process visual information, such as images and videos, for tasks like quality inspection, object detection, or automation. Their work often involves programming, selecting appropriate hardware, and integrating vision systems into larger processes or machines. Freelancers in this field may serve industries like manufacturing, robotics, agriculture, or healthcare, depending on project needs.

What is the difference between Freelance Machine Vision Engineer vs Machine Vision Engineer?

AspectFreelance Machine Vision EngineerMachine Vision Engineer
CredentialsTypically requires a degree in engineering or computer science; certifications are optionalUsually holds a degree in related fields; certifications can enhance prospects
Work EnvironmentIndependent, project-based, often remote or on-site at client locationsEmployed full-time at companies, labs, or research institutions
Employer & Industry UsageServes multiple clients across industries like manufacturing, robotics, and automationWorks within a single organization, focusing on internal projects

Freelance Machine Vision Engineers typically work independently on diverse projects, offering flexibility and a broad industry reach. In contrast, Machine Vision Engineers are usually employed full-time within organizations, focusing on specific company goals. Both roles require technical expertise, but their work settings and employment structures differ significantly.

More about Freelance Machine Vision Engineer jobs
What cities are hiring for Freelance Machine Vision Engineer jobs? Cities with the most Freelance Machine Vision Engineer job openings:
What are the most commonly searched types of Machine Vision Engineer jobs? The most popular types of Machine Vision Engineer jobs are:
What states have the most Freelance Machine Vision Engineer jobs? States with the most job openings for Freelance Machine Vision Engineer jobs include:
Vision Engineer

Other

Posted 5 days ago


General Motors rating

8.1

Company rating: 8.1 out of 10

Based on 303 frontline employees who took The Breakroom Quiz

5th of 44 rated automakers


Job description

Job Description
Work Arrangement
Hybrid - This position requires the employee to be onsite for a minimum of 3 days per week. The primary work location will be Warren, MI. This role will require some travel to various manufacturing sites in North America.
The Role
As a Stamping Vision Engineer you will be responsible for design, implementation, and optimization of machine vision systems for our manufacturing operations. You will be the subject matter expert, responsible for designing, validating, and optimizing novel vision systems to monitor and control the quality of our stamping systems and stamped parts for the press and automation engineering team. This includes being skilled in robot guidance and inspection vision systems along with sequence and flow of operations for the effective utilization of machines, equipment, and facilities necessary to manufacture parts.
In this role, you would be responsible for working with other team members on problem solving and continuous improvement initiatives daily to achieve operational excellence. This position is responsible for defining requirements, execution of design, analysis, development, testing and control of vision engineering projects for stamping facilities. You will also be required to provide technical direction over other engineers or engineering support personnel and may have work direction responsibilities over a small group with specific engineering objectives both at supplier build shops and stamping facilities.
What You'll Do
  • Develop and implement machine vision solutions for quality inspection, defect detection, robot guidance, automated part racking, and process monitoring.
  • Specify, procure, validate, and upgrade vision system components such as cameras, lenses, lighting, and software while incorporating your experiences with external lights, lighting, filters, and lenses.
  • Collaborate with cross-functional teams and work with controls engineering and IT partners to establish requirements for associated vision systems while analyzing vision system performance to identify areas for improvement in accuracy, reliability, and speed.
  • Lead efforts in root cause analysis and corrective actions related to vision system findings. Utilize vision system data to diagnose issues, identify trends, and improve manufacturing processes. Troubleshoot and resolve technical issues related to vision systems and equipment.
  • Support training of production staff on the operation and maintenance of vision systems. Maintain comprehensive documentation for vision system design, development, and implementation.
  • Work with engineering functions, suppliers, plant personnel and others to implement cost reduction, methods, and manufacturing improvements.

Your Skills & Abilities (Required qualifications)
  • Bachelor of Science in Engineering (Mechanical, Electrical and/or Computer, Manufacturing Systems Engineering, or Computer Science) or equivalent experience will be considered. Master of Science degree is preferred.
  • 3+ years of experience in developing and maintaining vision systems in a manufacturing, preferably in product quality inspection systems.
  • Ability to travel up to 50% of the time domestically and internationally.
  • High level of integrity, ability to deal with ambiguity, take initiative/self-directed.
  • Experience in coordinating design & construction activities - preferably in automotive manufacturing facilities.
  • Experience with project management methodologies to manage budget constraints, varying production schedules and OEM counterparts.
  • Understanding of Microsoft software including MS Project.
  • Ability to use CAD systems (ie. AutoCAD, Unigraphics, SOLIDWORKS, Teamcenter, Teamcenter Visualization, etc.).

What Will Give You A Competitive Edge (Preferred Qualifications)
  • 5+ years of experience in developing and maintaining vision systems in a manufacturing, preferably in product quality inspection systems.
  • Demonstrated experience developing vision system platforms (e.g., Matrox, Cognex, Keyence, PhotoNEO, Fanuc 2D/3D) and programming languages (e.g., Python, C++, OpenCV).
  • Strong understanding of image processing algorithms, optics, and lighting principles.
  • Hands-on experience with industrial automation systems (e.g., PLCs, robotics).
  • Familiarity with advanced defect detection techniques, AI-based vision systems, and SPC methodologies.
  • Experience in related STEM (Science Technology Engineering Mathematics) field.

#LI-SB2
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.The selected candidate will be required to travel on a regular basis (25-50%) for this role.This job may be eligible for relocation benefits.
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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
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About General Motors

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General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908