ZipRecruiter

Log In

1

Internship Computer Vision Engineer Jobs in Dallas, TX

Infosys Limited Digital

Computer Vision Engineer

Grapevine, TX · On-site

$103K - $121K/yr

... Computer Vision Technical Skills 2 Technology|data science|PYTHON Technical Skills 3 Technology|Traditional AI|TensorFlow Overview The Infosys Engineering unit is dedicated to amplifying product ...

Infosys

Computer Vision Engineer

Grapevine, TX · On-site

$103K - $121K/yr

Required Skill and Experience - Expertise in developing real-time computer vision models - Python ... Overview The Infosys Engineering unit is dedicated to amplifying product-centric value delivery ...

Infosys

Computer Vision Engineer

Grapevine, TX · On-site

$103K - $121K/yr

Required : • Expertise in developing real-time computer vision models • Python, Pytorch, tensorflow • CV/ML model development • Object recognition/Detection • Bachelor's degree or foreign ...

AgileEngine

Senior Computer Vision Engineer ID72408

Allen, TX · On-site

$97K - $133K/yr

ABOUT THE ROLE We are looking for a Senior Computer Vision Engineer to own applied model development across computer vision, machine learning, and data science use cases - building and deploying ...

AgileEngine

Senior Computer Vision Engineer ID72408

Plano, TX · On-site

$100K - $138K/yr

ABOUT THE ROLE We are looking for a Senior Computer Vision Engineer to own applied model development across computer vision, machine learning, and data science use cases - building and deploying ...

next page

Showing results 1-20

All JobsComputer Vision Engineer JobsInternship Computer Vision Engineer JobsInternship Computer Vision Engineer Jobs in Dallas, TX

Internship Computer Vision Engineer information

See Dallas, TX salary details

$13

$25

$38

How much do internship computer vision engineer jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for internship computer vision engineer in Dallas, TX is $25.14, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $28.56 per hour, depending on experience, location, and employer.

What does an Internship Computer Vision Engineer do?

An Internship Computer Vision Engineer assists in developing and testing algorithms that allow computers to interpret and process visual information from the world, such as images and videos. They often work on tasks like object detection, image classification, and facial recognition using programming languages like Python and tools such as OpenCV or TensorFlow. Interns may also help collect and annotate datasets, run experiments, and analyze results under the guidance of senior engineers. This role is ideal for students or recent graduates seeking hands-on experience in the field of computer vision and artificial intelligence.

What are the key skills and qualifications needed to thrive as an Internship Computer Vision Engineer, and why are they important?

To thrive as an Internship Computer Vision Engineer, you need a solid background in computer science, mathematics, and image processing, usually demonstrated through coursework or relevant project experience. Familiarity with programming languages like Python or C++, frameworks such as OpenCV or TensorFlow, and knowledge of machine learning algorithms are commonly expected. Strong problem-solving abilities, attention to detail, and effective teamwork skills help you stand out in this collaborative and innovative field. These skills and qualities are crucial for developing, testing, and optimizing computer vision solutions that address real-world visual data challenges.

What types of projects and responsibilities can I expect as an Internship Computer Vision Engineer?

As an Internship Computer Vision Engineer, you’ll typically work on tasks such as developing and testing algorithms for image and video analysis, assisting in dataset preparation and annotation, and supporting the implementation of computer vision models. You may also help evaluate model performance and collaborate closely with senior engineers or researchers to integrate solutions into real-world applications. Interns often participate in team meetings, present their findings, and receive mentorship, which provides a valuable learning environment and exposure to the latest industry tools and practices.
What are popular job titles related to Internship Computer Vision Engineer jobs in Dallas, TX? For Internship Computer Vision Engineer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Internship Computer Vision Engineer jobs in Dallas, TX look for? The top searched job categories for Internship Computer Vision Engineer jobs in Dallas, TX are:
Internship Computer Vision Engineer jobs near you
Infographic showing various Internship Computer Vision Engineer job openings in Dallas, TX as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $52,298 per year, or $25.1 per hour.

Computer Vision Engineer

Texas State Library and Archives Commision

Richardson, TX • On-site

$101K - $119K/yr

Full-time

Re-posted 12 days ago

Job description

  • MS/PhD in computer science, or related technical disciplines.
  • 6+ years hands-on development experience in deep learning/machine learning/data science with expertise in computer vision.
  • Proficient in Python programming language.
  • Solid knowledge of machine learning frameworks and tools - PyTorch, OpenVino, TensorRT, OpenCV, NumPy etc.
  • Solid knowledge of developing convolution neural networks from scratch.
  • Experience with object detection, segmentation, classification and object tracking.
  • Experience with handling and manipulating large datasets.
  • Experience with developing automated machine learning pipelines.
  • Solid experience in building scalable, high performance software systems.
  • Proven ability to translate high-level product requirements into technical solutions.
  • Enthusiasm to work in a vibrant, collaborative and fast-paced engineering team.

Resource should be working in the office, Work from home is not supported.

Apply