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Freelance Machine Vision Engineer Jobs in Texas (NOW HIRING)

Darbytek

Sr. Computer Vision Engineer

Austin, TX · On-site

$180K - $250K/yr

We are seeking a Full-time Sr Level Computer Vision Engineer to help provide expertise to our team ... Design and implement machine learning models that can operate in resource-constrained environments ...

T3i, Inc.

Computer Vision Engineer

San Antonio, TX · On-site

... PhD in Computer Vision, Machine Learning, Robotics, or related field • Prior experience ... programming for accelerated computer vision processing • Experience training and deploying ...

Cymertek

Machine Learning Engineer

San Antonio, TX · On-site

Machine Learning Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note ... Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus) * HSA/FSA * AFLAC ...

NOV, Inc.

Automation and Controls Engineer

Navasota, TX · On-site

$69K - $92K/yr

Program and troubleshoot PLCs, HMIs, machine vision systems, and related controls. * Create and ... Maintain technical documentation and engineering records. * Comply with all NOV, Quality, and HSE ...

NOV, Inc.

Automation and Controls Engineer

Navasota, TX · On-site

$69K - $92K/yr

Program and troubleshoot PLCs, HMIs, machine vision systems, and related controls. * Create and ... Maintain technical documentation and engineering records. * Comply with all NOV, Quality, and HSE ...

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Freelance Machine Vision Engineer information

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 are the key skills and qualifications needed to thrive as a freelance machine vision engineer?

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 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.

What are the most commonly searched types of Machine Vision Engineer jobs in Texas?

The most popular types of Machine Vision Engineer jobs in Texas are:

What are popular job titles related to Freelance Machine Vision Engineer jobs in Texas?

For Freelance Machine Vision Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Freelance Machine Vision Engineer jobs in Texas look for?

The top searched job categories for Freelance Machine Vision Engineer jobs in Texas are:

What cities in Texas are hiring for Freelance Machine Vision Engineer jobs?

Cities in Texas with the most Freelance Machine Vision Engineer job openings:

Freelance Machine Vision Engineer jobs near you
Infographic showing various Freelance Machine Vision Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Industrial Automation Applications Engineer - Machine Vision

Jobtailor

Dallas, TX • On-site

$120 - $180/hr

Other

Posted 4 days ago

Job description

  • Act as a bridge between customers, sales, and engineering—ensuring customer requirements are accurately captured and reflected in technical solution development.
  • Work closely with the Business Development Managers to support pre-sales function, including evaluating opportunities and projects for technology alignment with a potential client’s project objectives and to define project performance criteria.
  • Translate customer needs into clear technical specifications and collaborate with internal sales, engineering, and operations teams to ensure solution alignment.
  • Lead technical presentations, demos, and PoC projects for potential customers.
  • Prepare and deliver technical results documentation and ROI analyses for prospective clients.
  • Travel to customer sites to support the following objectives: demos, training, technical discussions, installs, post-install support.
  • Manage large-scale capital equipment and robotics projects from concept through delivery, developing detailed project plans, schedules, and risk mitigation strategies while coordinating communication between Oxipital AI, integrator partners, and key customer stakeholders to ensure seamless execution and successful outcomes.
  • Serve as the primary point of contact for project execution, facilitating clear, proactive communication between customers, integrators, and internal leadership to ensure expectations, deliverables, and technical requirements are fully aligned.
  • Provide transparent project progress updates and milestone reporting to Oxipital AI senior management, identifying potential risks or delays early and proposing actionable solutions to maintain delivery commitments.
  • Act as the local project manager, including developing standardized workflows, documentation practices, and project governance models that will support the company’s growth and operational excellence.
  • Collaborate with the marketing team to provide technical details for compelling marketing materials — including case studies, application notes, and demo content that highlight technical capabilities and customer value.
Requirements
  • Bachelor’s degree in Mechanical Engineering or related field.
  • At least 5 years experience with machine vision or robotics.
  • Strong understanding of image processing and machine learning.
  • Demonstrated experience managing multiple technical projects at once.
  • Ability to explain technical concepts to non-technical stakeholders.
  • Experience creating demos or PoC systems in an industrial environment.
  • Strong communication and presentation skills.
  • Working knowledge and understanding of Robotics, PLC, or Controls Engineering.
  • Experience with CRM; Salesforce preferred.
  • Willingness to travel for customer engagements in Industrial environment up to 50%.
Core Competencies

Demonstrates expertise in managing large-scale capital equipment and robotics projects, ensuring alignment between customer requirements and technical solutions. Proficient in translating complex technical concepts for diverse stakeholders while delivering compelling presentations and documentation.

Highest-signal resume keywords
  • Project Management
  • Machine Vision
  • Image Processing
  • Technical Presentations
  • CRM Experience
ATS Optimization KeywordsHard Skills
  • Robotics
  • Machine Learning
  • Technical Specifications
  • Project Planning
  • Risk Mitigation
  • Demos
  • Proof of Concept (PoC)
  • Image Processing
  • Controls Engineering
  • Technical Documentation
Soft Skills
  • Communication
  • Presentation Skills
  • Collaboration
  • Proactive Problem Solving
  • Stakeholder Management
Industry Keywords
  • Industrial Environment
  • Capital Equipment
  • Robotics Projects
  • Technical Solution Development
  • Customer Engagement
Tools & Technologies
  • Salesforce
  • CRM Software
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