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Remote Super Bowl Security Jobs (NOW HIRING)

Data Engineer

$117K - $140K/yr

Remote working environment * A flexible, unlimited time off policy * Generous paid holiday schedule - 13 in total including Monday after the Super Bowl

New York area (Remote) We're looking for a Brand Strategy Manager to join our growing Studio team ... Help package Pubity's offerings around tentpole moments (for example, Super Bowl, Valentine's Day ...

Los Angeles area (Remote) We're looking for a Brand Strategy Manager to join our growing Studio ... Help package Pubity's offerings around tentpole moments (for example, Super Bowl, Valentine's Day ...

... centers, remote production environments, and cloud platforms. These systems underpin real-time ... the FIFA World Cup and Super Bowl-delivering network architectures where performance is ...

Senior Software Engineer

Omaha, NE · On-site +1

$117K - $154K/yr

We are headquartered in Omaha, Nebraska, with remote employees across the nation: Las Vegas ... Provided security for the 2020 Presidential Inauguration, Super Bowl, and post-attack Boston ...

... with remote employees across the nation: Las Vegas, Washington D.C., Austin, Dallas, Portland ... Provided security for the 2020 Presidential Inauguration, Super Bowl, and post-attack Boston ...

Controller

Crowley Lake, CA · On-site +1

$95K - $110K/yr

... as the Super Bowl, Grammy Awards, US Open Tennis Tournament, Kentucky Derby, and NHL, MLB, NBA, NFL, and MLS All-Star Games. Job Summary Position Title: Controller (Resorts) Location: Remote ...

Controller

Crowley Lake, CA · On-site +1

$95K - $110K/yr

... as the Super Bowl, Grammy Awards, US Open Tennis Tournament, Kentucky Derby, and NHL, MLB, NBA, NFL, and MLS All-Star Games. Job Summary Position Title: Controller (Resorts) Location: Remote ...

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Remote Super Bowl Security information

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$28K

$67.7K

$162K

How much do remote super bowl security jobs pay per year?

As of Jun 10, 2026, the average yearly pay for remote super bowl security in the United States is $67,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,000.00 and $81,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Super Bowl Security vs Event Security Officer?

AspectRemote Super Bowl SecurityEvent Security Officer
CredentialsSecurity certifications, background checksSecurity certifications, background checks
Work EnvironmentRemote monitoring, on-site event securityOn-site at events, stadiums, or venues
Industry UsageSports, large-scale events, security firmsPublic events, concerts, sports games
Search & ComparisonOften searched together due to security roles at events

Remote Super Bowl Security involves monitoring and coordinating security remotely, often supporting on-site teams, while Event Security Officers are physically present at events to manage crowd control and ensure safety. Both roles require similar credentials but differ mainly in work environment and daily duties.

How much does NFL security get paid?

NFL security personnel, including event security staff and specialized security teams, typically earn between $15 and $25 per hour, depending on experience, role, and location. During major events like the Super Bowl, security staff may receive higher pay or overtime compensation, and roles often require background checks and security training.
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What cities are hiring for Remote Super Bowl Security jobs? Cities with the most Remote Super Bowl Security job openings:
What are the most commonly searched types of Super Bowl Security jobs? The most popular types of Super Bowl Security jobs are:
What states have the most Remote Super Bowl Security jobs? States with the most job openings for Remote Super Bowl Security jobs include:
What job categories do people searching Remote Super Bowl Security jobs look for? The top searched job categories for Remote Super Bowl Security jobs are:

$114K - $134K/yr

Full-time

Medical, Retirement

Posted 13 days ago


Job description

SumerSports is a leading football intelligence technology company that specializes in providing an innovative suite of products for football fans and NFL clubs. We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs, technology startups, finance, and academia.
Our data-driven platform empowers teams with insights and tools to make informed decisions within salary cap constraints. The platform also serves the NCAA, offering insights around the transfer portal and more.
What sets us apart is our unique blend of big tech talent, data scientists, and former NFL personnel, who have a combined 600+ years of NFL experience. Our domain knowledge is augmented by AI and machine learning technologies to create a unique view into many aspects of Football.
We're hiring a hands-on Computer Vision Engineer to build and improve sports video intelligence models-detection, tracking, pose, event understanding, and multi-view reasoning. You'll spend most of your time on CV research + applied modeling (experiments, architectures, training, evaluation), and partner with data/platform teammates to ensure your work can ship reliably.
This role is CV-first. A bend toward scalable pipelines / MLOps is a plus, not a requirement. Level (mid vs senior) depends on scope ownership and how independently you can drive results.
Responsibilities
CV Modeling & Experimentation
  • Build and train CV models for sports video: player/ball detection, multi-object tracking, pose/keypoints, event/action recognition, identity association (re-ID).
  • Own the experimentation loop: hypotheses → ablations → error analysis → measurable improvements.
  • Design and maintain evaluation: task-appropriate metrics (e.g., MOT metrics, keypoint accuracy, event precision/recall), dataset slices, and failure taxonomy.
  • Improve data efficiency: augmentations, sampling strategies, handling label noise, weak/self-supervision where helpful.
  • Prototype and iterate on modern architectures (e.g., transformer-based detection/tracking, temporal models, multi-task setups).

Research that Ships
  • Collaborate on dataset + labeling design: formats, schemas, tooling, versioning.
  • Help productionize models: packaging, batch/stream inference patterns, throughput/latency tradeoffs, robustness checks.
  • Add lightweight quality gates: reproducibility, automated eval, regression detection

Qualifications
Must-have:
  • Strong applied CV experience with hands-on model development (not just running existing repos).
  • Solid PyTorch skills: training loops, debugging, data pipelines for vision workloads, DDP basics.
  • Comfort with video CV fundamentals: occlusion, identity switches, temporal consistency, calibration, domain shift.
  • Strong Python engineering and a bias toward measurable outcomes.

Nice-to-have (Bonus):
  • Sports video CV or adjacent domains (multi-agent tracking, pose, crowded scenes).
  • Experience with video tooling (FFmpeg), efficient dataset formats (WebDataset/shards), or streaming/batching to GPUs.
  • MLOps/production experience: model packaging, CI for training/eval, serving (Triton/TorchServe), monitoring.

Benefits
  • MLOps/production experience: model packaging, CI for training/eval, serving (Triton/TorchServe), monitoring.
  • Competitive Salary and Bonus Plan
  • Comprehensive health insurance plan
  • Retirement savings plan (401k) with company match
  • Generous paid holiday schedule - 13 in total including Monday after the Super Bowl
  • Remote working environment
  • Generous paid holiday schedule - 13 in total including Monday after the Super Bowl