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Remote Nfl Players Jobs (NOW HIRING)

Computer Vision Engineer

$114K - $134K/yr

We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs ... Build and train CV models for sports video: player/ball detection, multi-object tracking, pose ...

We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs ... Remote working environment * A flexible, unlimited time off policy * Generous paid holiday schedule ...

Game Day Representative

Ann Arbor, MI · On-site +1

$18 - $25/hr

While diverse in our offerings, we are the official licensee and operating partner of NFL FLAG, Jr. ... coaches, players, parents/guardians, and officials * Establish relationships with coaches and ...

... and NFL Universe Football. With over 160 million monthly active players across our games, we are ... Founded in 2015, we have since grown to 95+ full-time remote team members across the globe. Role ...

Senior Growth Analyst

$100K - $130K/yr

... across the NFL, NHL, MLB, and Premier League, we're scaling fast. Our mission is simple but ... Location This is a fully remote position for candidates residing within certain states in the U.S.

Growth Analyst

$90K - $115K/yr

... across the NFL, NHL, MLB, and Premier League, we're scaling fast. Our mission is simple but ... Location This is a fully remote position for candidates residing within certain states in the U.S.

Senior Product Manager

$129K - $170K/yr

APPLY is hybrid/remote-friendly. The preferred candidate should be based in Latin America ... You are a creative leader, a team player, and a problem solver. * You are professional, confident ...

Social Media Manager, Editorial

Atlanta, GA · On-site +1

$70K - $95K/yr

... NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 ... Track the ongoing player, league, team, and cultural storylines that matter to the PrizePicks ...

Remote Nfl Players information

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$5

$15

$34

How much do remote nfl players jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for remote nfl players in the United States is $15.91, according to ZipRecruiter salary data. Most workers in this role earn between $9.62 and $18.03 per hour, depending on experience, location, and employer.
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What are the most commonly searched types of Nfl Players jobs? The most popular types of Nfl Players jobs are:
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$114K - $134K/yr

Full-time

Medical, Retirement

Posted 29 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