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Video Analytics Jobs in Texas (NOW HIRING)

Responsibilities : • Lead the design, development, and optimization of edge AI systems for real-time video analytics, spanning model architectures, inference pipelines, and runtime frameworks ...

Lead Technician-Dallas

Irving, TX · On-site

$35 - $40/hr

System knowledge of CCTV, Access Control, IP Cameras, Intrusion Detection, Video Analytics, IP network systems, and visitor management, preferred. * Leading a team on project installations.

Computer Vision Engineer

Fort Worth, TX · On-site

$43.27 - $61/hr

This system processes streams from dozens of cameras to detect, track, and analyze human movement, converting video data into actionable operational insights. This is a highly hands-on, end to end ...

Proficiency in video equipment, video formats, and adherence to industry standards for video ... Strong analytical and organizational skills * Ability to interpret schematics and signal flow ...

Role Overview UATX is seeking a Producer to lead the planning, execution, and delivery of video and ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

Role Overview UATX is seeking a Producer to lead the planning, execution, and delivery of video and ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

Role Overview UATX is seeking a Producer to lead the planning, execution, and delivery of video and ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

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Video Analytics information

See Texas salary details

$35.4K

$70.3K

$120.2K

How much do video analytics jobs pay per year?

As of Jun 9, 2026, the average yearly pay for video analytics in Texas is $70,338.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,000.00 and $81,500.00 per year, depending on experience, location, and employer.

What are Video Analytics?

Video analytics refers to the use of software and algorithms to automatically analyze video footage to detect, classify, and track objects or events. These technologies are commonly used in security, retail, transportation, and smart city applications to monitor activity, improve safety, and gather insights from video data. Video analytics can include features such as motion detection, facial recognition, license plate recognition, and people counting. By automating the analysis process, organizations can respond more quickly to incidents and make data-driven decisions.

What is the difference between Video Analytics vs Video Surveillance Technician?

AspectVideo AnalyticsVideo Surveillance Technician
CredentialsTypically requires knowledge of analytics software, computer vision, and sometimes certifications in security systemsRequires technical skills in installing, maintaining, and troubleshooting surveillance hardware and software
Work EnvironmentPrimarily office-based, working with software and data analysisField-based, installing and servicing surveillance equipment on-site
Industry UsageUsed in security, retail, traffic management, and smart city applicationsCommonly employed in security firms, retail stores, and public safety agencies

Video Analytics focuses on analyzing video data using software to detect patterns or events, often in real-time. In contrast, Video Surveillance Technicians install and maintain physical security camera systems. Both roles are essential in security but differ in skills, tools, and daily tasks.

How can I make 2000 a week working from home?

Video analytics professionals can increase their earnings by gaining advanced skills in data analysis, machine learning, and relevant software tools, and by taking on freelance or consulting projects that pay higher rates. Building a strong portfolio and obtaining certifications can also help command higher pay, but earning $2000 weekly typically requires experience, specialized skills, and a flexible schedule. Many work-from-home roles in this field are project-based or hourly, so consistent high income depends on workload and expertise.

What are the key skills and qualifications needed to thrive as a Video Analytics Specialist, and why are they important?

To thrive as a Video Analytics Specialist, you need strong analytical skills, a background in computer vision or data science, and typically a degree in computer science, engineering, or a related field. Familiarity with programming languages such as Python or C++, experience with video analytics platforms, and certifications in AI or machine learning are commonly required. Exceptional problem-solving abilities, attention to detail, and effective communication skills help professionals excel in this role. These competencies are vital for accurately interpreting video data, developing actionable insights, and collaborating with stakeholders to optimize security, operations, or business outcomes.

What are some typical challenges faced by professionals in Video Analytics roles, and how can they be addressed?

Professionals working in Video Analytics often encounter challenges such as handling large volumes of unstructured video data, ensuring real-time processing, and integrating analytics solutions with existing security or business systems. Addressing these challenges requires proficiency with scalable data infrastructure, optimizing algorithms for speed and accuracy, and collaborating closely with IT and operations teams. Staying updated on the latest advancements in AI and machine learning also helps tackle evolving technical hurdles.
What are popular job titles related to Video Analytics jobs in Texas? For Video Analytics jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Video Analytics jobs in Texas look for? The top searched job categories for Video Analytics jobs in Texas are:
Infographic showing various Video Analytics job openings in Texas as of May 2026, with employment types broken down into 90% Full Time, 5% Part Time, 2% Temporary, and 3% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $70,338 per year, or $33.8 per hour.
Full Stack Developer with Security Clearance

Full Stack Developer with Security Clearance

Prometheus Security Group Global, Inc

Austin, TX

Other

Posted 28 days ago


Job description

Full Stack Developer (Java / Video Systems / Big Data / WebRTC)
Overview
Prometheus is seeking a highly skilled Full Stack Developer with a strong Java background and experience building scalable video processing, analytics, and browser-based applications. The ideal candidate has deep expertise in modern web development, WebRTC, distributed data systems such as Hadoop or OpenSearch, and video analytics frameworks including OpenCV and YOLO. Experience in the physical security or electronic security industry is a strong plus.
Key Responsibilities • Design, develop, and maintain full-stack applications using Java and modern web frameworks. • Build and optimize browser-based applications that integrate real-time video and analytics features. • Develop WebRTC-based video communication, streaming, and low-latency data-sharing solutions. • Create scalable video processing pipelines and integrate computer vision models (OpenCV, YOLO). • Architect, maintain, and optimize distributed data systems (Hadoop, OpenSearch, HDFS, Kafka). • Implement RESTful APIs and microservices to support video processing and analytics workloads. • Develop responsive front-end interfaces for real-time video analytics visualization. • Collaborate with cross-functional teams to deploy and scale ML and video solutions. • Troubleshoot issues across backend, frontend, and browser runtime environments.
Required Qualifications • Bachelor's of Science in a technical field or 5–7 years equivalent experience. • 5+ years of professional full-stack development experience. • Strong proficiency in Java and backend frameworks such as Spring or Spring Boot. • Expertise in modern web development (JavaScript/TypeScript, React, Angular, etc.). • Experience building browser-based applications that handle video or real-time data. • Hands-on experience with WebRTC for real-time media and data streaming. • Background in video development, streaming pipelines, and workflow technologies. • Experience with distributed data platforms such as Hadoop or OpenSearch. • Proficiency with computer vision frameworks (OpenCV) and object detection models (YOLO). • Strong understanding of microservices architecture and scalable backend design. • Familiarity with Linux, Docker, and Kubernetes. • Experience with CI/CD pipelines and tooling. • Experience using Maven for build and dependency management. • Understanding of secure development practices including SAST and DAST.
Preferred Qualifications • Experience with GPU-accelerated processing (CUDA, TensorRT). • Knowledge of FFmpeg, video codecs, or streaming protocols (RTSP, HLS). • Cloud experience with AWS, Azure, or GCP. • Experience in the security industry, including video surveillance or access control systems.
Security Clearance • Must be able to obtain and maintain a Secret Security Clearance.