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Video Analyst Jobs in Baltimore, MD (NOW HIRING)

Business Analyst II

Baltimore, MD · On-site

$60K - $65K/yr

With over 10,000 video systems under management worldwide - more than any other video ... The Business Analyst II skillsets may be more specifically defined at the call order level to ...

March 2026 ABOUT MOBILE VIDEO GUARD Mobile Video Guard was founded in 2016 as SMART Security Pros ... walks/analysis, and any other needs required QUALIFICATIONS, SKILLS amp; EXPERIENCE · Proven ...

We offer support of end user devices including desktop, workplace peripherals, and voice and video ... The Senior Financial Analyst will play a critical role in helping program leadership understand ...

We offer support of end user devices including desktop, workplace peripherals, and voice and video ... The Senior Financial Analyst will play a critical role in helping program leadership understand ...

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Video Analyst information

See Baltimore, MD salary details

$35.3K

$98.5K

$126.2K

How much do video analyst jobs pay per year?

As of Aug 25, 2026, the average yearly pay for video analyst in Baltimore, MD is $98,527.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $125,700.00 per year, depending on experience, location, and employer.

What is a video analyst?

A Video Analyst is responsible for reviewing and analyzing video footage to extract insights, identify patterns, and support decision-making. This role is common in sports, security, and media industries, where analysts use software tools to break down footage and provide data-driven recommendations. In sports, they help teams improve performance by studying player movements and tactics. In security, they monitor surveillance footage for anomalies or threats. Strong analytical skills, attention to detail, and knowledge of video analysis software are essential for this role.

What does a video analyst do?

As a Video Analyst, your day-to-day tasks may include reviewing and tagging video footage, extracting key moments, compiling statistical data, and preparing clear reports or presentations for coaches, managers, or production teams. You may also participate in team meetings to discuss findings and collaborate on strategies, as well as update and maintain databases of analyzed footage. The role often requires balancing tight deadlines with high attention to detail, particularly during busy seasons or before important events. Consistent communication with other analysts, coaches, or creatives is key to aligning video insights with organizational goals.

What are the key skills and qualifications needed to thrive as a video analyst?

To excel as a Video Analyst, you should possess strong analytical skills, attention to detail, and a background in video editing or data analysis, often supported by a relevant degree in media, sports science, or computer science. Familiarity with video analysis software such as Hudl, Dartfish, or Sportscode, as well as proficiency with data visualization tools and possibly relevant certifications, is highly beneficial. Excellent communication, teamwork, and time management are valuable soft skills in this field. These competencies help ensure accurate video breakdowns and insightful reporting, which are critical for driving improvements and informed decisions in fields like sports or media production.

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, especially in competitive markets or with advanced tools like video analytics software.

What job categories do people searching Video Analyst jobs in Baltimore, MD look for?

The top searched job categories for Video Analyst jobs in Baltimore, MD are:

Infographic showing various Video Analyst job openings in Baltimore, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $98,527 per year, or $47.4 per hour.

Senior Computer Vision Engineer ID72408

Baltimore, MD • On-site

AgileEngine
Software Development • 201 - 500 employees

$103K - $142K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description


AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Senior Computer Vision Engineer to own applied model development across computer vision, machine learning, and data science use cases - building and deploying solutions for object detection, image segmentation, classification, and video analysis. You will evaluate and fine-tune model architectures using PyTorch and TensorFlow, build broader ML models for forecasting and anomaly detection, and apply practical knowledge of computer vision hardware including cameras, sensors, and edge devices.
WHAT YOU WILL DO
- Own the applied model development process across computer vision, AI/ML, and broader data science use cases;
- Translate complex business problems into viable, practical, and scalable AI/ML solutions;
- Evaluate various model options, train and fine-tune selected architectures, and rigorously analyze model performance;
- Develop and deploy solutions for object detection, image segmentation, image classification, and video analysis;
- Build and maintain models for time-series forecasting, anomaly detection, regression, clustering, and general data analysis;
- Apply practical knowledge of real-world constraints-such as lighting, sensor limitations, and edge device compute power-to ensure optimal data quality and robust model performance in production.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 3 to 5 years of professional experience in Computer Vision, Machine Learning, Data Science, or a related field;
- Degree in Computer Science, Engineering, Data Science, Mathematics, or a related discipline (or equivalent practical experience);
- Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);
- Strong, production-level proficiency in Python;
- Deep hands-on experience with PyTorch and/or TensorFlow;
- Proven track record of building and deploying models for detection, segmentation, classification, and image/video analysis;
- Solid understanding of broader ML and data science techniques (time-series modeling, forecasting, anomaly detection, regression, and clustering);
- Practical experience working with computer vision hardware, including cameras, sensors, and lighting setups;
- Familiarity with deploying models on edge devices;
- Strong understanding of how physical and real-world constraints impact data quality, model training, and inference;
- Upper-intermediate English level.
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.