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Remote Video Analyst Jobs in Miami, FL (NOW HIRING)

YO AI Labs

Graphic Designer Expert - Remote

Miami, FL · Remote

$20 - $50/hr

Remote Role Summary We are seeking experienced Graphic Designers specializing in editorial, poster ... video assets using precise design terminology. * Analyze layouts, typography, hierarchy, grids ...

New

Globe Life American Income Division

Be Seen First

Remote Insurance Sales Associate

Miami, FL · Remote

$50K - $120K/yr

Familiarity with the Zoom platform and high-speed internet access to support video conferencing ... Associates use a needs-based benefit analysis program to complete applications for our clients ...

7Figures

SEO Support Specialist

Miami, FL · On-site +1

... video calls and remote work * Ability to work independently in a remote environment Bonus Points Experience with tools such as Google Search Console, Google Analytics, SEMrush, Ahrefs, WordPress, or ...

Rumble

Senior Infrastructure Engineer - DDOS

Miami, FL · Remote

$132K - $158K/yr

Rumble, RUM Group's video business and the original tenant of Quake AI, provides creators and ... If you enjoy analyzing complex traffic patterns, building resilient internet-scale defenses, and ...

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All JobsVideo Analyst JobsRemote Video Analyst JobsRemote Video Analyst Jobs in Miami, FL

Remote Video Analyst information

See Miami, FL salary details

$28.2K

$68.4K

$117.6K

How much do remote video analyst jobs pay per year?

As of Aug 30, 2026, the average yearly pay for remote video analyst in Miami, FL is $68,396.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,100.00 and $75,600.00 per year, depending on experience, location, and employer.

What is a remote video analyst?

A Remote Video Analyst is a professional who reviews, interprets, and provides insights from video footage while working from a remote location. They may analyze security footage, sports games, surveillance videos, or other recordings to identify patterns, events, or data points relevant to their employer or client. This role often relies on specialized software and strong analytical skills to accurately assess video content. Remote Video Analysts may work for various industries, including sports, security, research, and media. Their findings can help organizations make informed decisions or improve processes based on the analyzed footage.

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

To thrive as a Remote Video Analyst, you need strong analytical abilities, attention to detail, and experience with video analysis or surveillance, often supported by a relevant degree or background in security, sports analysis, or data science. Familiarity with video management software, analytics tools, and possibly certifications in video analysis or security systems is typically required. Excellent communication, critical thinking, and the ability to work independently make someone stand out in this position. These skills ensure accurate, timely insights and effective collaboration while working remotely, ultimately enhancing decision-making and operational outcomes.

What are some common challenges faced by remote video analysts, and how can they be managed effectively?

Remote Video Analysts often face challenges such as maintaining focus during long periods of video review and managing potential technical issues with video streaming platforms. To address these, it's important to develop strong time management habits, take regular breaks to reduce eye strain and fatigue, and stay updated on the latest video analysis software. Additionally, effective communication with team members is essential, as collaboration on findings and sharing insights can help ensure accuracy and improve overall workflow.

What is the difference between Remote Video Analyst vs Remote Data Annotator?

AspectRemote Video AnalystRemote Data Annotator
Required CredentialsHigh school diploma or equivalent; some roles may prefer related certificationsHigh school diploma; basic computer skills
Work EnvironmentRemote, often with flexible hoursRemote, often with flexible hours
Employer & Industry UsageTech companies, security, surveillance, autonomous vehicle developmentAI and machine learning companies, data labeling firms

Remote Video Analysts review and interpret video footage for security, surveillance, or autonomous vehicle data, requiring analytical skills and attention to detail. Remote Data Annotators label and categorize data, including videos, to train AI models. While both roles are remote and involve data handling, Remote Video Analysts focus on analysis and decision-making, whereas Remote Data Annotators primarily perform data labeling tasks.

What are popular job titles related to Remote Video Analyst jobs in Miami, FL?

For Remote Video Analyst jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Remote Video Analyst jobs in Miami, FL look for?

The top searched job categories for Remote Video Analyst jobs in Miami, FL are:

What cities near Miami, FL are hiring for Remote Video Analyst jobs?

Cities near Miami, FL with the most Remote Video Analyst job openings:

Remote Video Analyst jobs near you

Senior Computer Vision Engineer ID72408

Miami, FL • On-site, Remote

AgileEngine
Software Development • 201 - 500 employees
Learn more about AgileEngineexternal

$99K - $137K/yr

Full-time

Posted 7 days ago

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.