1

Freelance Machine Vision Engineer Jobs in Texas (NOW HIRING)

next page

Showing results 1-20

Freelance Machine Vision Engineer information

Can you make 10k a month freelancing?

A Freelance Machine Vision Engineer can potentially earn $10,000 or more per month depending on experience, project complexity, client base, and hourly or project rates. Building a strong portfolio, specialized skills in AI and image processing, and establishing long-term client relationships can help achieve higher income levels. However, income varies widely and depends on market demand and individual effort.

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.

Will AI replace computer vision engineers?

AI is transforming the field of computer vision, but computer vision engineers play a crucial role in developing, training, and fine-tuning AI models, as well as integrating them into real-world applications. Their expertise in algorithms, programming, and domain knowledge ensures that AI systems function effectively and ethically, making their role essential despite advancements in automation. Continuous learning and skills in machine learning frameworks like TensorFlow or PyTorch are important for these professionals.

What is the salary of a freelance ML engineer?

A freelance machine vision engineer's salary varies based on experience, project complexity, and location, but typically ranges from $50 to $150 per hour. Experienced professionals with specialized skills in deep learning and computer vision tools may command higher rates, especially for complex or long-term projects.

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 engineer makes $500,000 a year?

A highly experienced freelance machine vision engineer working on advanced projects in industries like autonomous vehicles or aerospace can potentially earn $500,000 annually. Such roles typically require specialized skills in computer vision, deep learning, and extensive industry experience, often involving consulting or contract work with high-value clients.

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.

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 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 cities in Texas are hiring for Freelance Machine Vision Engineer jobs? Cities in Texas with the most Freelance Machine Vision Engineer job openings:
Infographic showing various Freelance Machine Vision Engineer job openings in Texas as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Computer Vision & Machine Learning Engineer

Allen Control Systems

Austin, TX • On-site

$110K - $130K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 20 days ago


Job description

Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems

Company Overview:

Allen Control Systems (ACS) is a cutting-edge defense startup founded by two former Navy electrical engineers with a proven track record in robotics and software. We are developing an autonomous gun turret using advanced computer vision and control systems to precisely detect, track, and neutralize enemy drones.

With an engineering-first culture, ACS values technical excellence and innovation. Backed by our founders' successful exits from two previous venture acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop will have a real-world impact. 

What You'll Do:

  • Development and optimization of computer vision algorithms for our autonomous gun turret, focusing on real-time drone detection, tracking, and classification.

  • Design and implement machine learning models that can operate in resource-constrained environments while maintaining high accuracy and reliability.

  • Collaborate closely with electrical engineers to integrate computer vision systems into the turret's hardware architecture.

  • Conduct extensive testing and validation of computer vision algorithms in various scenarios to ensure robustness and performance under different environmental conditions.

  • Contribute to the hardening of the prototype turret into a military-grade system, and assist in developing variants for different weapon systems and engagement ranges.

What You'll Need:

  • Deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career.

  • At least a Bachelor's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.

  • 4-7+ years of experience working on machine-learning-based computer vision, ideally in the context of robotics.

  • A proven track record of developing and deploying computer vision systems, ideally in real-time or safety-critical applications.

  • Proficient in Python, C++, and have experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.

  • Experience with embedded systems and integrating computer vision algorithms into hardware.

  • Familiar with various sensors (e.g., cameras, LIDAR, RADAR) and their integration into autonomous systems.

  • You enjoy collaborating with other engineers to solve complex technical challenges.

What We Offer:

  • Competitive salary

  • ACS Equity Package

  • Health, Dental, Vision Insurance

  • Paid Time Off

Allen Control Systems is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment. Allen Control Systems prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.