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Video Analytics Jobs (NOW HIRING)

Security 101

Lead Technician

Dublin, OH · On-site

... Video Analytics, IP network systems and overall commercial electronic security systems. Salary and Benefits: Hourly wage varies from $30.00 to $40.00, non-exempt, commensurate with skills, product ...

Security 101

Lead Technician

Marietta, GA · On-site

$30 - $40/hr

... Video Analytics, IP network systems and overall commercial electronic security systems. Salary and Benefits: Hourly wage varies from $30.00 to $40.00, non-exempt, commensurate with skills, product ...

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Video Analytics information

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$38K

$75.5K

$129K

How much do video analytics jobs pay per year?

As of Jul 10, 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 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 much do video analysts make?

Video analysts typically earn between $40,000 and $70,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Salaries can also vary based on the complexity of the tools and data they work with.

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.

What is video analytics?

Video analytics is the process used by video analysts to automatically analyze video footage to detect, track, and interpret objects, behaviors, or events. It often involves the use of software tools and machine learning algorithms to enhance security, traffic management, or operational efficiency. Professionals in this field typically need knowledge of video systems, data analysis, and relevant certifications.

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 is the work of a video analyst?

A video analyst reviews and interprets video footage to extract relevant information, often using specialized software and analytical skills. Their work supports security, sports, marketing, or operational decisions by identifying patterns, behaviors, or events in the footage.

What kind of jobs in media bring in $150,000 a year?

In media, senior roles such as Video Analytics Managers, Data Scientists, or Media Directors often earn $150,000 or more annually, especially with extensive experience, advanced skills in data analysis tools, and industry-specific knowledge. These positions typically require strong analytical abilities, leadership skills, and sometimes certifications in data or analytics fields.
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 July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $75,498 per year, or $36.3 per hour.
Senior Software Engineer, Computer Vision

Senior Software Engineer, Computer Vision

Knightscope, Inc.

Sunnyvale, CA • On-site

$175K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago

Job description

About Knightscope
Knightscope is a security technology company building the Nation's First Autonomous Security Force. The Company combines autonomous machines, advanced software, and human expertise to help protect people, property, and critical infrastructure. Knightscope's long-term mission is to make the United States of America the safest country in the world.
About the Role
We are looking for a Senior Software Engineer to design, develop, and deploy computer vision systems that turn continuous video, audio, and sensor streams into reliable security intelligence. Your work will directly impact the safety and operational effectiveness of deployed security platforms across hundreds of real-world sites. You will collaborate with embedded, cloud, and product teams to deliver perception capabilities that power real-time threat detection and response.
Location Requirement: Full-time, on-site at Sunnyvale HQ (no relocation provided)
Key Responsibilities
  • Design and own the end-to-end ML pipeline for security perception: data ingestion, annotation, model training, evaluation, and deployment across edge and cloud targets.
  • Develop and deploy computer vision models for real-time security intelligence, spanning detection, tracking, recognition, and classification, on embedded GPU hardware.
  • Build and maintain data flywheel and active learning pipelines that leverage fleet-scale production data to drive continuous model improvement.
  • Optimize and deploy models to edge hardware using TensorRT, INT8/FP16 quantization, and hardware-aware model design for NVIDIA Jetson platforms.
  • Define evaluation frameworks and metrics to measure model performance in production, identify failure modes, and drive reliability improvements.
  • Collaborate with embedded, cloud, and product teams to integrate perception outputs into the security incident pipeline.
  • Support on-robot integration, debugging, and validation in real-world environments

Required Qualifications
  • 5+ years shipping computer vision or ML systems to production in physical security, video analytics, surveillance, automotive, or robotics domains.
  • Deep expertise in one or more areas: object detection, video analytics, multi-camera tracking, audio classification, or edge AI inference.
  • Strong ML engineering in Python and C++ with hands-on experience in PyTorch or TensorFlow, model optimization, and production deployment.
  • Understanding of camera systems, image processing, ISP pipelines, and sensor characteristics as they affect model design and performance.
  • Experience deploying ML models on embedded GPU platforms such as NVIDIA Jetson or equivalent under real-world latency and power constraints.

Preferred Qualifications
  • Experience with GPU-accelerated video analytics frameworks such as NVIDIA DeepStream or equivalent.
  • Familiarity with camera SoC hardware, ISP pipelines, and system-level trade-offs for edge AI.
  • Background in active learning, data flywheel design, or large-scale dataset curation for production CV systems.
  • Familiarity with VLM or multimodal AI approaches for scene understanding and anomaly detection in security contexts.
  • Familiarity with cloud ML infrastructure: training orchestration, model registries, and OTA model deployment for fleet systems.
  • MS or PhD in Computer Science, Electrical Engineering, Machine Learning, or related field.

Compensation & Benefits
  • Base Salary: $175,000 to $210,000 base (DOE)
  • Equity: Stock options
  • Benefits: Medical, dental, vision, 401(k), paid time off
  • Location Requirement: Full-time, on-site at Sunnyvale HQ

Apply