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Video Analytics Jobs (NOW HIRING)

CRI

Video Analytics Engineer

Sterling, VA · On-site

The video Analytics Engineer would work with our team to build, develop and deploy image classification, object detection, video understanding, and imagery analysis services. Key Responsibilities ...

Omni Inclusive

Network Video & Voice

Waukegan, IL

Perform root cause analysis * Troubleshooting technical issues * Defining processes and ensuring ... Experience of Teams, Lenovo Thinksmart manager other similar management portals for video ...

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How much do video analytics jobs pay per year?

As of Jun 4, 2026, the average yearly pay for video analytics in the United States is $75,498.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $87,500.00 per year, depending on experience, location, and employer.

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 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.

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 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.

More about Video Analytics jobs
What states have the most Video Analytics jobs? States with the most job openings for Video Analytics jobs include:
What job categories do people searching Video Analytics jobs look for? The top searched job categories for Video Analytics jobs are:
Video Analytics jobs near you
Infographic showing various Video Analytics job openings in the United States 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 $75,498 per year, or $36.3 per hour.
Video Analytics Engineer

Video Analytics Engineer

CRI

Sterling, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

We are looking for a Video Analytics Engineer to support development and implementation of computer vision and deep learning models to analyze video data, often focusing on object detection, tracking, and behavior analysis. The video Analytics Engineer would work with our team to build, develop and deploy image classification, object detection, video understanding, and imagery analysis services. 


Key Responsibilities would include, but are not limited to: 

  • Test Planning & Execution: Design and execute test cases for video analytics systems, covering functionality, performance, and integration testing in both lab and real-world environments. The engineer will support COTS and customized video analytics software. 
  • AI/Model Validation: Evaluate the performance of computer vision models (object detection, tracking) using datasets, validating against expected metrics. 
  • Defect Detection & Analysis: Identify, reproduce, and report software bugs, focusing on issues like false positives, missed detections, and tracking failures. 
  • Scenario Testing: Create complex, real-world scenarios (e.g., varying lighting, crowd densities, weather conditions) to test algorithm robustness. 
  • Automation: Develop and maintain automated test scripts (Python/Bash) to streamline testing and validate video pipelines. 
  • Collaboration: Work with developers to analyze logs, investigate system behavior, establish integration requirements and improve AI model accuracy. Collaborating with software engineering teams to integrate models into production systems   


Skills Required: 

  • US Citizens with an Active Secret Clearance 
  • Technical Expertise: Experience with computer vision tools like OpenCV, YOLO, PyTorch, or TensorFlow.  Past successful experience (1-3 years) in applying machine learning and deep learning to solve computer vision and/or video analysis problems. 
  • Programming Skills: Proficiency in Python, C++, or Java for scripting and test automation. 
  • Video Technology Knowledge: Understanding of video formats, codecs (H.264/H.265), and streaming protocols. 
  • Analytical Abilities: Excellent analytical skills to troubleshoot complex issues, evaluate video performance, and interpret system logs independently. 
  • Environment Familiarity: Experience with Linux systems, networking protocols, and edge devices (e.g., NVIDIA Jetson) 

Location:  

  • The Video Analytics Engineer will report daily on site to our office in Sterling, VA.  

Company Description

At CRI, we are more than a workplace — we are a mission-driven, forward-thinking team shaping the future of secure and efficient operations across government and commercial sectors. As a minority-owned and Woman-Owned Small Business (WOSB) with over 30 years of experience, we specialize in delivering enterprise management systems, integrated physical and cybersecurity solutions and cutting-edge IT services, that elevate performance and ensure compliance. We thrive on innovation, collaboration, and continuous improvement, offering exciting opportunities to develop and deploy transformative technologies that support national and global organizations.

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