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Remote Football Analyst Jobs (NOW HIRING)

Computer Vision Engineer

$114K - $134K/yr

SumerSports is a leading football intelligence technology company that specializes in providing an ... Own the experimentation loop: hypotheses → ablations → error analysis → measurable ...

Remote Remote Full-time Compensation: $70K - $75K Our client operates an innovative, skill-based ... Following the successful launch of a summer football product, the organization is expanding its ...

SumerSports is a leading football intelligence technology company that specializes in providing an ... Background in sports analytics or other high-volume data domains. * Experience integrating LLM ...

Our products make it easier for coaches and athletes at any level to capture video, analyze data ... Global football background . You stay up-to-date with the trends and happenings across the sport ...

... Football & Basketball, NASCAR, IndyCar, and global broadcasts such as the FIFA World Cup and Super ... Architect WAN/long-haul contribution networks for remote production. * Support and integrate cloud ...

... football, and emerging eSports-for price movements, liquidity, and volatility. Analyze historical ... Flexi-work hour and hybrid or remote set-up Aspire career alternatives through us - our internal ...

at DVSport | Denver, CO / Remote Ever wonder what officials watch so they can efficiently confirm ... Sport specific opportunities - football, basketball, baseball, field hockey, ice hockey, soccer ...

Replay Manager

Kansas City, MO · Remote

$45K - $55K/yr

at DVSport | Kansas City / Remote Ever wonder what officials watch so they can efficiently confirm ... Sport specific opportunities - football, basketball, baseball, field hockey, ice hockey, soccer ...

at DVSport | Charlotte / NC / Remote Ever wonder what officials watch so they can efficiently ... Sport specific opportunities - football, basketball, baseball, field hockey, ice hockey, soccer ...

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Remote Football Analyst information

See salary details

$31K

$73.3K

$130K

How much do remote football analyst jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote football analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What is a Remote Football Analyst job?

A Remote Football Analyst evaluates football games, players, and strategies using data, video analysis, and statistical models while working remotely. They provide insights for teams, media, or betting companies to enhance decision-making. Responsibilities often include breaking down game footage, identifying trends, and generating reports. Strong analytical skills, knowledge of football tactics, and proficiency with data tools are essential for this role.

What are the key skills and qualifications needed to thrive in the Remote Football Analyst position, and why are they important?

To thrive as a Remote Football Analyst, you need strong analytical skills, in-depth knowledge of football tactics and rules, and experience interpreting game data, often supported by a degree in sports science, statistics, or a related field. Familiarity with video analysis software (such as Hudl or Wyscout), data visualization tools, and statistical programs is typically required. Excellent written communication, attention to detail, and the ability to work independently are standout soft skills for this position. These competencies are essential for delivering actionable insights and accurate reporting to coaches, teams, or media organizations from a remote setting.

What does a typical workday look like for a Remote Football Analyst?

A typical day for a Remote Football Analyst involves analyzing recorded football matches, extracting key performance metrics, and compiling detailed reports or presentations for clients. You may spend time using specialized software to break down plays, track player movements, and compare statistical trends. Communication with coaches, scouts, or media teams is often done through virtual meetings or collaborative online platforms. The workflow is generally deadline-driven and flexible, allowing you to manage your schedule while ensuring timely delivery of analysis. This remote structure supports both independent work and regular collaboration with sports professionals.

More about Remote Football Analyst jobs
What cities are hiring for Remote Football Analyst jobs? Cities with the most Remote Football Analyst job openings:
What are the most commonly searched types of Football Analyst jobs? The most popular types of Football Analyst jobs are:
What states have the most Remote Football Analyst jobs? States with the most job openings for Remote Football Analyst jobs include:
Infographic showing various Remote Football Analyst job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.

$114K - $134K/yr

Full-time

Medical, Retirement

Re-posted 17 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