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Ai Sports Jobs (NOW HIRING)

SwingVision

Head of Product

Berkeley, CA · On-site

$285K - $299K/yr

SwingVision is the AI racket sports app that provides automated stats, highlights, and line calling using just your phone. They are seeking an experienced Head of Product to own the product lifecycle ...

Genius Sports

AI Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

About the Role - AI Engineer, Sports AI We're looking for an AI Engineer on our Sports AI team to help build the next generation of applied AI systems powering sports analysis, automation, and ...

Genius Sports

AI Engineer

Los Angeles, CA

$123K - $148K/yr

About the Role - AI Engineer, Sports AI We're looking for an AI Engineer on our Sports AI team to help build the next generation of applied AI systems powering sports analysis, automation, and ...

Genius Sports

AI Engineer

New York, NY

$125K - $150K/yr

About the Role - AI Engineer, Sports AI We're looking for an AI Engineer on our Sports AI team to help build the next generation of applied AI systems powering sports analysis, automation, and ...

Genius Sports

AI Engineer

New York, NY · On-site

$125K - $150K/yr

About the Role - AI Engineer, Sports AI We're looking for an AI Engineer on our Sports AI team to help build the next generation of applied AI systems powering sports analysis, automation, and ...

Brooklyn Sports & Entertainment

AI Engineer

Brooklyn, NY · On-site

$125K - $150K/yr

Brooklyn Sports & Entertainment creates bold, authentic, and unforgettable experiences that ... SUMMARY The AI Engineer builds agent-based systems and intelligent workflows that power Brooklyn ...

Dick's Sporting Goods

Sport inspires us. Innovation drives us. Come Win With Us at DICK'S Sporting Goods as part of a ... AI tools are not permitted to be used by the candidate during any part of the interview process.

Da Francesco's

High School Sports Reporter

Brooklyn, OH

$55K - $63K/yr

Cleveland.com's award-winning sports team has an opening for an ambitious, social media-savvy ... The successful candidate will use reporting and AI-assisted tools to produce exclusive content, and ...

Catapult Sports

Agentic AI Engineer)

New York, NY · On-site

Catapult is a sports technology company that empowers professional teams to make data-driven decisions. We deliver health, performance, video, and AI insights from the locker room to competitive ...

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All JobsAi Sports Jobs

Ai Sports information

See salary details

$27K

$85K

$147.5K

How much do ai sports jobs pay per year?

As of Aug 4, 2026, the average yearly pay for ai sports in the United States is $85,009.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $112,500.00 per year, depending on experience, location, and employer.

What is AI Sports?

AI Sports refers to the use of artificial intelligence technologies in the sports industry to enhance performance, analyze data, and improve experiences for athletes, teams, and fans. This can include applications such as player performance analytics, injury prediction, game strategy optimization, fan engagement, and automated content creation. AI Sports professionals work on developing and implementing these technologies to help teams make data-driven decisions and gain a competitive edge.

How does an AI Sports professional typically collaborate with coaches and athletes to improve performance?

AI Sports professionals work closely with coaches and athletes by analyzing large datasets collected from games, practices, and wearable technology. They translate complex data insights into actionable recommendations, such as optimizing training regimens or developing game strategies. Regular meetings and feedback sessions are common, allowing AI specialists to tailor their models and reports to the specific needs of the team. This collaborative environment fosters continual learning and adaptation, ensuring that both coaches and athletes benefit from the latest advancements in sports analytics.

What are the key skills and qualifications needed to thrive as an AI Sports specialist, and why are they important?

To thrive as an AI Sports Specialist, you need a solid background in data analytics, machine learning, and sports science, often supported by a degree in computer science, statistics, or a related field. Familiarity with programming languages like Python or R, experience using data visualization tools, and knowledge of sports analytics platforms are typically required. Strong problem-solving skills, collaboration, and the ability to communicate insights clearly set outstanding professionals apart in this role. These skills are crucial for leveraging data-driven insights to enhance athlete performance, strategy, and overall sports outcomes.

What is the difference between Ai Sports vs Ai Sports Coach?

AspectAi SportsAi Sports Coach
CertificationsSports management, fitness certifications, AI technology trainingCoaching certifications, sports science, AI tools training
Work EnvironmentSports facilities, gyms, AI development labsTraining sessions, sports fields, virtual coaching platforms
Industry UsageSports organizations, fitness companies, AI sports tech firmsIndividual athletes, teams, fitness centers

Ai Sports professionals focus on integrating AI technology into sports management and analytics, often working in tech-driven sports environments. Ai Sports Coaches primarily work directly with athletes or teams, applying AI tools to enhance training and performance. Both roles require knowledge of sports and AI, but differ in their focus—tech development versus direct coaching.

More about Ai Sports jobs
What cities are hiring for Ai Sports jobs? Cities with the most Ai Sports job openings:
What states have the most Ai Sports jobs? States with the most job openings for Ai Sports jobs include:
What job categories do people searching Ai Sports jobs look for? The top searched job categories for Ai Sports jobs are:
Ai Sports jobs near you
Infographic showing various Ai Sports job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $85,009 per year, or $40.9 per hour.

Research Engineer (AI + Sports)

YinzCam Inc.

Pittsburgh, PA • On-site

Full-time

Posted 9 days ago

Job description

Description
YinzCam is seeking exceptional Research Engineers to lead the development of AI-driven video analysis and game analytics systems that power next-generation fan experiences in professional sports. This is a rare opportunity to conduct publishable research while building products that reach millions of fans in real time.
You'll work at the cutting edge of computer vision and machine learning applied to sports, collaborating with leading academic researchers at Carnegie Mellon University while taking your innovations from prototype to production. This role demands both research rigor and product sensibility. We value publication records and engineering excellence equally. This is a full-time, onsite position based in Pittsburgh, PA.
You will be at the forefront of establishing a new, in-house AI Research Lab within YinzCam, and working with multiple sports teams, leagues, and venues to apply AI to the fan experience and to business operations.
CORE RESPONSIBILITIES.
Video Analysis & Computer Vision
  • Design and develop AI systems for real-time video understanding of live sporting events (player detection, action recognition, spatial analysis, etc.)
  • Build robust computer vision pipelines that handle challenging real-world footage (lighting, occlusion, multiple camera angles)
  • Explore novel architectures and techniques in modern CV to solve sports-specific problems

Large-Scale Game Analytics
  • Develop AI systems to extract, aggregate, and interpret game data at scale across multiple sports, teams, and seasons
  • Create spatial and temporal analytics frameworks that surface actionable insights from video and sensor data
  • Build analytics platforms that scale from single games to league-wide deployments

AI-Powered Fan Experiences
  • Translate video understanding and analytics into engaging, intuitive experiences for millions of fans
  • Collaborate on product features that leverage AI (real-time highlights, personalized stats, interactive visualizations, etc.)
  • Ensure research outputs move through the full product development lifecycle

CORE GOALS.
  1. Publish Your Work: We intend to publish the work coming out of these research projects. Papers will be published in top-tier CV/ML venues and presented at conferences.
  2. Bridge Academia & Industry: Work directly with Prof. Priya Narasimhan (Carnegie Mellon University) and her research team to translate academic innovations into applied systems. Mentor CMU students, collaborate on research projects, and shape the next generation of sports AI researchers.
  3. From Research to Product: Own the path from prototype to production. You'll participate in design reviews, handle real-world deployment challenges, and see your ideas impact actual fan experiences at scale.

CORE REQUIREMENTS.
  • PhD in Computer Vision, Machine Learning, Computer Science, or a closely related field
  • Strong publication track record in top-tier venues (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, etc.)
  • Deep expertise in modern computer vision techniques: neural networks, object detection, semantic/instance segmentation, action recognition, optical flow, pose estimation, or related areas
  • Proficiency in ML frameworks (PyTorch, TensorFlow) and modern deep learning practices
  • Strong software engineering fundamentals: Python, Java, AWS, SQL, Redshift, version control, testing, CI/CD
  • Demonstrated ability to implement complex systems end-to-end
  • Background in sports analytics, sports tech, or applied computer vision (industry, research, or both)
  • Genuine enthusiasm for sports and AI
  • Genuine enthusiasm for going beyond book learning, and to have ideas go into large-scale production

HOW TO APPLY
Please submit:
  1. Your CV (with publication list) and research statement.
  2. A cover letter describing your research interests and why you're excited about this opportunity
  3. Links to your top 2-3 publications hat best represent your work

Apply