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Image Segmentation Jobs in Houston, TX (NOW HIRING)

2020 Companies

Samsung Field Sales Manager

Houston, TX · On-site

$27/hr

... segments, and executing sales and marketing strategies. 2020 trains our teams to succeed in any ... Serve as a brand ambassador, fostering a positive image of Samsung through professional conduct ...

Doggett

Outside Sales Professional - Rental

Houston, TX · On-site

Ability to penetrate different market segments within a given geographic territory to maintain a ... Conduct self in the presence of customers and community so as to present a professional image of ...

Doggett

Outside Sales Professional - Rental

Houston, TX · On-site

Ability to penetrate different market segments within a given geographic territory to maintain a ... Conduct self in the presence of customers and community so as to present a professional image of ...

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All JobsImage Segmentation JobsImage Segmentation Jobs in Houston, TX

Image Segmentation information

See Houston, TX salary details

$18

$41

$67

How much do image segmentation jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for image segmentation in Houston, TX is $41.64, according to ZipRecruiter salary data. Most workers in this role earn between $32.36 and $48.41 per hour, depending on experience, location, and employer.

What is an image segmentation?

An Image Segmentation job involves developing algorithms and models to partition digital images into meaningful regions or objects. Professionals in this role often work with computer vision, deep learning, and artificial intelligence to improve image analysis. Tasks may include data annotation, training machine learning models, and optimizing segmentation accuracy for applications like medical imaging, autonomous vehicles, and industrial automation. Strong programming skills in Python and experience with frameworks like TensorFlow or OpenCV are typically required.

What are the key skills and qualifications needed to thrive in image segmentation, and why are they important?

To excel in Image Segmentation, you need a solid background in computer vision, machine learning, and data annotation, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, OpenCV, TensorFlow, and specialized annotation software is typically required. Attention to detail, collaborative mindset, and effective communication are important soft skills in this position. Mastering these abilities ensures precise segmentation work, efficient teamwork, and contributions to projects in fields such as healthcare, autonomous driving, and digital imaging.

What are the common challenges faced in an image segmentation role?

Professionals in image segmentation often encounter challenges such as dealing with low-quality or ambiguous images, managing large datasets, and ensuring consistency in labeling across various data sources. Staying up to date with rapidly evolving algorithms and tools in computer vision is also important for maintaining best practices. Effective communication with data scientists, engineers, and project managers is key for understanding project requirements and delivering high-quality segmentation results. Overcoming these challenges not only helps produce more accurate models but also contributes to personal skill growth and deeper team collaboration.

What are popular job titles related to Image Segmentation jobs in Houston, TX?

For Image Segmentation jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Image Segmentation jobs in Houston, TX look for?

The top searched job categories for Image Segmentation jobs in Houston, TX are:

Image Segmentation jobs near you
Infographic showing various Image Segmentation job openings in Houston, TX as of August 2026, with employment types broken down into 70% Full Time, 21% Part Time, and 9% Contract. Highlights an 100% In-person job distribution, with an average salary of $86,617 per year, or $41.6 per hour.

Senior Computer Vision Engineer ID72408

AgileEngine

Houston, TX • On-site

$99K - $137K/yr

Full-time

Posted 4 days ago

Job description


AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
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 solutions for object detection, image segmentation, classification, and video analysis. You will evaluate and fine-tune model architectures using PyTorch and TensorFlow, build broader ML models for forecasting and anomaly detection, and apply practical knowledge of computer vision hardware including cameras, sensors, and edge devices.
WHAT YOU WILL DO
- Own the applied model development process across computer vision, AI/ML, and broader data science use cases;
- Translate complex business problems into viable, practical, and scalable AI/ML solutions;
- Evaluate various model options, train and fine-tune selected architectures, and rigorously analyze model performance;
- Develop and deploy solutions for object detection, image segmentation, image classification, and video analysis;
- Build and maintain models for time-series forecasting, anomaly detection, regression, clustering, and general data analysis;
- Apply practical knowledge of real-world constraints-such as lighting, sensor limitations, and edge device compute power-to ensure optimal data quality and robust model performance in production.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 3 to 5 years of professional experience in Computer Vision, Machine Learning, Data Science, or a related field;
- Degree in Computer Science, Engineering, Data Science, Mathematics, or a related discipline (or equivalent practical experience);
- Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);
- Strong, production-level proficiency in Python;
- Deep hands-on experience with PyTorch and/or TensorFlow;
- Proven track record of building and deploying models for detection, segmentation, classification, and image/video analysis;
- Solid understanding of broader ML and data science techniques (time-series modeling, forecasting, anomaly detection, regression, and clustering);
- Practical experience working with computer vision hardware, including cameras, sensors, and lighting setups;
- Familiarity with deploying models on edge devices;
- Strong understanding of how physical and real-world constraints impact data quality, model training, and inference;
- Upper-intermediate English level.
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.

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