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Remote Computer Science Sports Jobs (NOW HIRING)

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 ...

$13/hr

For additional information on remote work at Penn State, see Notice to Out of State Applicants. POSITION SPECIFICS The Department of Computer Science and Engineering is seeking applicants for ...

$13/hr

For additional information on remote work at Penn State, see Notice to Out of State Applicants. POSITION SPECIFICS The Department of Computer Science and Engineering is currently accepting ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Master's or Doctorate degree in Computer Science, Software Engineering, Artificial Intelligence ...

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Requirements: * Masters degree in Data Analytics, Data Science, Computer Science or related ...

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Requirements: * Masters degree in Data Analytics, Data Science, Computer Science or related ...

Computer Scientist, Mid

Aurora, CO · On-site +1

$69K - $158K/yr

Remote Work: No Job Number: R0246983 Location: Aurora,CO,US Share job via: Share Computer Scientist, Mid The Opportunity: As an analytics professional, you're excited at the prospect of unlocking the ...

Computer Scientist, Mid

Aurora, CO · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247094 Location: Aurora,CO,US Share job via: Share Computer Scientist, Mid The Opportunity: As an analytic professional with computer science background, you're excited ...

Showing results 21-40

Remote Computer Science Sports information

What is a remote computer science sports job?

A Remote Computer Science Sports job involves using computer science skills, such as programming, data analysis, and software development, to support sports-related projects or organizations while working from a remote location. This can include roles like sports data analyst, software engineer for sports apps, or developers working on technologies for sports analytics, wearable devices, or e-sports platforms. Professionals in this field often collaborate with coaches, athletes, and sports organizations to enhance performance, analyze statistics, or create innovative solutions for the sports industry. The remote aspect allows for flexibility and the ability to work with teams and clients from around the world.

How do remote computer science professionals contribute to sports organizations, and what unique challenges do they face working offsite?

Remote computer science professionals in the sports industry typically work on projects such as data analysis, software development, and system integration to enhance team performance, fan engagement, or operational efficiency. Working remotely, they rely heavily on digital collaboration tools and clear communication with coaches, analysts, and other stakeholders. A common challenge is staying aligned with fast-paced changes and ensuring real-time data accuracy, especially during live events. However, remote roles offer flexibility and the opportunity to work on innovative tech-driven projects from anywhere, while still making a significant impact on sports outcomes.

What are the key skills and qualifications needed to thrive as a remote computer science sports analyst, and why are they important?

To excel as a Remote Computer Science Sports Analyst, you typically need a strong background in computer science, data analysis, and a solid understanding of sports statistics, often supported by a relevant degree. Familiarity with programming languages (such as Python or R), sports analytics software, and data visualization tools is crucial. Excellent problem-solving skills, attention to detail, and effective remote communication set top performers apart. These capabilities enable accurate analysis, actionable insights, and seamless collaboration with teams or clients in a digital sports environment.
More about Remote Computer Science Sports jobs

What cities are hiring for Remote Computer Science Sports jobs?

Cities with the most Remote Computer Science Sports job openings:

What are the most commonly searched types of Computer Science Sports jobs?

The most popular types of Computer Science Sports jobs are:

What states have the most Remote Computer Science Sports jobs?

States with the most job openings for Remote Computer Science Sports jobs include:

Infographic showing various Remote Computer Science Sports job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

$165K - $200K/yr

Full-time

Medical, Retirement

Posted 26 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
  • Competitive Salary and Bonus Plan
  • Comprehensive health insurance plan
  • Retirement savings plan (401k) with company match
  • Remote working environment
  • A flexible, unlimited time off policy
  • Generous paid holiday schedule - 13 in total including Monday after the Super Bowl

SumerSports is committed to fair and equitable compensation practices.
Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, benefits and/or other applicable incentive compensation plans.
The pay range for this role is:
165,000 - 200,000 USD per year (Remote)