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Video Analytics Jobs (NOW HIRING)

Hearst

Data Analyst, Social Media & Video

New York, NY · Hybrid

$66K - $80K/yr

Use analytics tools (e.g., Dash, ListenFirst, YouTube Analytics, Tubular) to track and benchmark ... Proficiency in social media and video analytics tools (e.g., Google Analytics, Facebook Insights ...

Kake Group

Senior iOS Video Player Engineer

Austin, TX · Remote

$143K/yr

Use video analytics and QoE metrics to diagnose issues and improve real-world playback performance. Core Requirements 7+ years of iOS development experience with deep expertise in Swift and ...

Govcio LLC

Voice and Video Engineer

Doral, FL · On-site

$108K - $124K/yr

Develops knowledge base articles, conducts root cause analysis for incidents, takes direction from ... In-depth knowledge of voice and video communication technologies, protocols, and standards (e.g ...

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Acadian Total Security

Video Analyst

Lafayette, LA · On-site

Acadian Total Security has an immediate opening for a full-time Video Analyst at our Lafayette, LA location. Job Summary: Verify and dispatch on video security alarms for residential and commercial ...

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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.
AI Engineer- Video Analytics

AI Engineer- Video Analytics

VELOCITOR SOLUTIONS

Charlotte, NC

Full-time

Re-posted 28 days ago

Job description

AI Engineer: Video Analytics


Location: Charlotte, NC
Employment Type: Full time

The VTrack Vision team builds GPU accelerated video analytics for real time safety monitoring across large fleets and industrial environments. Our system processes high volume video streams, runs YOLO based 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 ML pipelines, and building real world safety applications that make an impact, you’ll fit right in.

Responsibilities

  • Develop and optimize GPU accelerated 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.

Requirements

  • 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.

Nice to Have

  • Experience with Azure Event Hub, Blob Storage, Application Insights, or similar cloud messaging/storage platforms.
  • Familiarity with Docker, cloud deployments, and production monitoring systems.
  • Experience in temporal/sequence analysis for event detection.
  • Background in video analytics for safety, compliance, or industrial/transportation environments.

Tech Stack

Python, OpenCV, PyTorch, Ultralytics YOLO, ONNX, TensorRT, CUDA, asyncio, aiohttp, gRPC, REST APIs, Azure Event Hub, Azure Blob Storage, Docker, Application Insights (or equivalent telemetry tools).

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