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Video Analytics Jobs (NOW HIRING)

SDI Presence

IT Support Engineer - Video Systems

Chicago, IL · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Analyze and resolve video issues such as loss of video, degraded streams, recording failures, and analytics performance * Support video analytics capabilities, including motion detection, license ...

SDI Presence

IT Support Engineer - Video Systems

Chicago, IL · Hybrid

$70K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Analyze and resolve video issues such as loss of video, degraded streams, recording failures, and analytics performance * Support video analytics capabilities, including motion detection, license ...

SDI Presence

IT Support Engineer - Video Systems

Chicago, IL · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Analyze and resolve video issues such as loss of video, degraded streams, recording failures, and analytics performance * Support video analytics capabilities, including motion detection, license ...

SDI Presence

IT Support Engineer - Video Systems

Chicago, IL · On-site

$70 - $90/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Analyze and resolve video issues such as loss of video, degraded streams, recording failures, and analytics performance. * Support video analytics capabilities, including motion detection, license ...

SDI Presence

IT Support Engineer - Video Systems

Chicago, IL · On-site

$70K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Analyze and resolve video issues such as loss of video, degraded streams, recording failures, and analytics performance * Support video analytics capabilities, including motion detection, license ...

SDI Presence

IT Support Engineer - Video Systems

Chicago, IL · Hybrid

$70K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Analyze and resolve video issues such as loss of video, degraded streams, recording failures, and analytics performance * Support video analytics capabilities, including motion detection, license ...

Uw

Digital Video Producer

Seattle, WA · Hybrid

Analytics and Reporting (10%). Stay current on digital and social video trends, platform best practices, and emerging storytelling formats. Track video performance to identify top performing formats ...

Kake

Senior iOS Video Player Engineer

$143K/yr

... Use video analytics and QoE metrics to diagnose issues and improve real-world playback performance. • Collaborate with Engineering, Product, and Backend Technology Services teams to design ...

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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 Aug 19, 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 is 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 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 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 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 much does a video analytics make?

The average salary for a video analytics specialist or analyst ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Entry-level roles may start around $50,000, while experienced professionals with skills in data analysis and tools like computer vision can earn higher salaries.

What does a video analytics do?

A video analytics professional analyzes video data to detect and interpret patterns, behaviors, or events using specialized software and algorithms. They often work with surveillance systems, security cameras, or customer behavior analysis, utilizing tools like AI and machine learning to improve safety, security, or operational efficiency.
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 August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 100% In-person job distribution, with an average salary of $75,498 per year, or $36.3 per hour.

Artificial Intelligence (AI) Engineer, Video Analytics, Onsite in Charlotte, NC

Ginas Tech Jobs

Charlotte, NC • On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 11 days ago

Job description

Job Description

Artificial Intelligence (AI) Engineer, Video Analytics, Onsite in Charlotte, NC

The Artificial Intelligence (AI) Engineer, Video Analytics will work with a team that builds GPUaccelerated video analytics for realtime safety monitoring across large fleets and industrial environments.  The system processes highvolume video streams, runs YOLObased detection models, performs temporal tracking and smoothing to reduce false positives, and identifies actionable safety violations.  Inference results are published to downstream APIs and integrated with Azure Event Hub, Blob Storage, and cloud monitoring systems.  If you enjoy pushing GPU performance limits, crafting resilient Machine Learning (ML) pipelines, and building realworld safety applications that make an impact, you will fit right in.  This position is 100% Onsite in Charlotte, NC.

Artificial Intelligence (AI) Engineer Responsibilities:

- Develop and optimize GPUaccelerated video inference pipelines, including batching, stride control, and throughput tuning.

- Implement, evaluate, and improve object detection models (YOLO or similar) and build temporal smoothing/tracking logic for safety event detection.

- Optimize model performance using TensorRT, ONNX, CUDA, and GPU profiling tools to maximize throughput and minimize latency/VRAM usage.

- Build and maintain integrations with event-driven APIs, Azure Event Hub, Blob Storage, and internal services.

- Add robust metrics, logging, telemetry, and fail-safe mechanisms for resilient inference jobs.

- Collaborate on dataset curation, labeling, model training, validation, and experiment tracking.

- Support containerized deployments (Docker) and assist with monitoring and scaling production workloads.

Qualifications

Artificial Intelligence (AI) Engineer Qualifications:

- 3+ years of experience shipping computer vision or machine learning systems to production.

- Strong proficiency in Python and experience with OpenCV, PyTorch, async I/O frameworks, and API integrations.

- Hands-on experience with YOLO/Ultralytics or similar object detection frameworks.

- Solid understanding of video processing fundamentals: frame sampling, temporal filtering, confidence thresholds, and multi-camera aggregation.

- Experience optimizing GPU inference performance batching, stride, TensorRT, CUDA, model quantization, and throughput tuning.

- Experience with Azure Event Hub, Blob Storage, Application Insights, or similar cloud messaging/storage platforms is a plus.

- Familiarity with Docker, cloud deployments, and production monitoring systems is a plus.

- Experience in temporal/sequence analysis for event detection is a plus.

- Background in video analytics for safety, compliance, or industrial/transportation environments is a plus.

- Tech Stack:  aiohttp, Application Insights, asyncio, Azure Blob Storage, Azure Event Hub, CUDA, Docker, gRPC, ML - Machine Learning, ONNX, OpenCV, Python, PyTorch, RESTful APIs, Telemetry Tools, TensorRT, and Ultralytics YOLO.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:  Charlotte NC Jobs, Artificial Intelligence (AI) Engineer, aiohttp, Application Insights, asyncio, Azure Blob Storage, Azure Event Hub, CUDA, Docker, gRPC, ML, Machine Learning, ONNX, OpenCV, Python, PyTorch, RESTful APIs, Telemetry Tools, TensorRT, and Ultralytics YOLO, Video Analytics, North Carolina Recruiters, IT Jobs, North Carolina Recruiting

Looking to hire an Artificial Intelligence (AI) Engineer, Video Analytics in Charlotte, NC or in other cities?  Our IT recruiting agencies and staffing companies can help.

We help companies that are looking to hire Artificial Intelligence (AI) Engineers, Video Analytics for jobs in Charlotte, North Carolina and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!

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