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Sports Modeling Jobs (NOW HIRING)

AI Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

The role spans a broad set of sports modeling and automation problems across multiple sports, including soccer, American football, and basketball. This role sits at the intersection of machine ...

AI Engineer

Los Angeles, CA

$123K - $148K/yr

The role spans a broad set of sports modeling and automation problems across multiple sports, including soccer, American football, and basketball. This role sits at the intersection of machine ...

Data Scientist

Jersey City, NJ · On-site

$116K - $152K/yr

Throughout the lifecycle of a model, from data collection through results, you will create predictive models of sports to build tools and dashboards, price markets, and drive actionable insights ...

Be a positive role model for young athletes * Access to online training resources Company Overview Founded in Tampa, Florida, i9 Sports ® is the nation's first and largest youth sports league ...

Opportunity to build coaching skills and be a role model for athletes * Impact the lives of young athletes * Online training opportunities Company Overview Founded in Tampa, Florida, i9 Sports ® is ...

Opportunity to build coaching skills and be a role model for athletes * Impact the lives of young athletes * Online training opportunities Company Overview Founded in Tampa, Florida, i9 Sports ® is ...

Opportunity to build coaching skills and be a role model for athletes * Impact the lives of young athletes * Online training opportunities Company Overview Founded in Tampa, Florida, i9 Sports ® is ...

Teach and model i9 Sports' core values and sportsmanship principles to all participants * Game Day Operations: Supervise the overall operation of your designated sports, ensuring fields/courts are ...

Opportunity to build coaching skills and be a role model for athletes Company Overview i9 Sports offers youth sports leagues, camps, and clinics for kids ages 3-14 in today's most popular sports such ...

Sports Coordinator

Wellington, FL · On-site

$13 - $18/hr

Be a role model for athletes * Online training opportunities Company Overview Founded in Tampa, Florida, i9 Sports ® is the nation's first and largest youth sports league franchise business in the ...

Be a role model for athletes * Online training opportunities Company Overview Founded in Tampa, Florida, i9 Sports ® is the nation's first and largest youth sports league franchise business in the ...

Youth Sports Instructor

MN · On-site

$18 - $20/hr

Opportunity to build coaching skills and be a role model for athletes * Online training opportunities * Flexible schedule Company Overview Founded in Tampa, Florida, i9 Sports ® is the nation ...

Youth Sports Instructor

MN · On-site

$18/hr

Opportunity to build coaching skills and be a role model for athletes * Online training opportunities * Flexible schedule Company Overview Founded in Tampa, Florida, i9 Sports ® is the nation ...

Youth Sports Instructor

MN · On-site

$18 - $20/hr

Opportunity to build coaching skills and be a role model for athletes * Online training opportunities Company Overview Founded in Tampa, Florida, i9 Sports ® is the nation's first and largest youth ...

... be a role model while keeping safety first. Weekday mornings throughout July and/or Wednesday ... We offer youth sports leagues, camps and clinics for kids ages 3 and up in today's most popular ...

Opportunity to build coaching skills and be a role model for athletes * Online training opportunities Company Overview Founded in Tampa, Florida, i9 Sports ® is the nation's first and largest youth ...

Opportunity to build coaching skills and be a role model for athletes * Online training opportunities Company Overview Founded in Tampa, Florida, i9 Sports ® is the nation's first and largest youth ...

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Sports Modeling information

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How much do sports modeling jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for sports modeling in the United States is $40.33, according to ZipRecruiter salary data. Most workers in this role earn between $31.25 and $43.51 per hour, depending on experience, location, and employer.

What are the typical working conditions and schedule expectations for sports models?

Sports modeling often involves working in a variety of settings such as studios, outdoor fields, or sports arenas, sometimes under time constraints or challenging weather conditions. Schedules can be highly variable, with assignments often occurring on short notice and including early mornings, evenings, or weekends to accommodate shoots and events. Sports models regularly collaborate with photographers, stylists, and marketing teams to create promotional materials. Flexibility, reliability, and maintaining peak physical condition are essential, as the demands can change rapidly based on project requirements. Over time, successful sports models may have the opportunity to work with high-profile brands and diversify into fitness modeling or related fields.

What are the key skills and qualifications needed to thrive in the Sports Modeling position, and why are they important?

To thrive in Sports Modeling, you need a fit and athletic physique, camera presence, and the ability to pose dynamically to showcase sports apparel and equipment, often supported by a professional modeling portfolio. Experience with modeling agencies, industry-standard photo shoot processes, and familiarity with casting calls and comp cards is beneficial. Strong communication, adaptability, and professionalism are key soft skills to work effectively with photographers, directors, and clients. These skills ensure you can consistently deliver engaging visuals, meet client expectations, and build a successful reputation in a competitive industry.

What is a Sports Modeling job?

A Sports Modeling job involves using statistical and mathematical models to analyze sports data and make predictions. Professionals in this field apply techniques from data science, machine learning, and probability to assess player performance, game outcomes, and betting probabilities. These models are used by sportsbooks, teams, and analysts to gain insights and improve decision-making. Strong analytical skills and knowledge of sports dynamics are crucial for success in this role.

More about Sports Modeling jobs
What cities are hiring for Sports Modeling jobs? Cities with the most Sports Modeling job openings:
What are the most commonly searched types of Sports Modeling jobs? The most popular types of Sports Modeling jobs are:
What states have the most Sports Modeling jobs? States with the most job openings for Sports Modeling jobs include:
What job categories do people searching Sports Modeling jobs look for? The top searched job categories for Sports Modeling jobs are:
Infographic showing various Sports Modeling job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $83,896 per year, or $40.3 per hour.

AI Engineer

Genius Sports

Los Angeles, CA • On-site

$123K - $148K/yr

Full-time

Posted 10 days ago


Job description

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com.
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 insights.
These systems use live and historical sports data, including tracking data, structured feeds, broadcast video, commentary, and text, to understand game context, detect & enrich key events, estimate the probability of future events, and generate insights. The outputs from these systems power a range of products and workflows, such as projecting which games or moments will be most exciting to fans and automating parts of manual play-by-play collection using CV/AI. The role spans a broad set of sports modeling and automation problems across multiple sports, including soccer, American football, and basketball.
This role sits at the intersection of machine learning, AI system design, and production engineering. You'll own scoped AI systems end-to-end: framing the relevant modeling problems, constructing the datasets needed to solve them, training and composing models and algorithms, building the inference pipelines that orchestrate them, and rigorously evaluating output quality against messy, real-world data.
You'll work on challenges like aligning signals across multiple sources, handling uncertainty and inconsistency in system outputs, and improving accuracy, latency, and reliability in real-time production workflows. In this role, hands-on ML/AI work will be central: understanding data, developing models and algorithms, evaluating outputs empirically, and iterating in production. You'll also apply LLMs and agentic workflows as part of your broader AI engineering toolkit.
Key Responsibilities
  • Own applied AI work end-to-end, from data exploration and early prototypes through evaluation, production integration, and iteration
  • Develop and compose models, algorithms, and inference pipelines that convert sports data into structured events, predictions, insights, and confidence-aware outputs
  • Build models for problems such as event detection, event likelihood estimation, fan interest & excitement projection, and automation of manual play-by-play collection
  • Work with messy, multimodal sports data from tracking systems, video and computer vision outputs, audio, commentary, text, and structured feeds, including imperfect labels and ambiguous real-world examples
  • Define and use metrics, evaluation datasets, and benchmarks to measure AI system quality and guide model, algorithm, and product decisions
  • Train, adapt, evaluate, and integrate ML models and AI components, including multi-step systems where model, algorithmic, and LLM/agent outputs are composed, validated, and refined
  • Design workflows that use human review or correction data to improve evaluation, model iteration, and production output quality where appropriate
  • Work closely with CV engineers on training pipelines, labeling workflows, and model deployment patterns
  • Partner with product, data platform, infrastructure, and systems engineers to integrate evaluated AI outputs into real-time sports products and automation workflows
  • Mentor junior teammates and contribute to team knowledge-sharing, reviews, and experiment design

Qualifications
  • 3+ years of experience building production ML, CV, or AI systems
  • Ability to translate ambiguous sports product goals into concrete ML tasks, including defining the prediction target, identifying the right data, measuring output quality, and shipping production-ready solutions
  • Hands-on production ML/AI experience, including constructing datasets, defining features and labels, training and deploying models, evaluating outputs empirically, and shipping AI system capabilities into production
  • Strong modeling judgment across deep learning and classical ML, with experience choosing approaches based on data inputs and problem structure
  • Experience with predictive modeling, event detection, data labeling, data quality improvement, and communicating experiment results to technical and non-technical stakeholders
  • Ability to evaluate AI system quality beyond anecdotal inspection, including reasoning about ambiguous outputs, imperfect labels, uncertainty, and real-world product tradeoffs
  • Strong production engineering fundamentals, including testing, observability, performance, and reliability
  • Demonstrated interest in the fast-moving landscape of LLMs, latest models, agentic AI systems, and development frameworks
  • Comfortable working in fast-moving, iterative environments with evolving requirements

Preferred Qualifications
  • Hands-on experience with LLM-integrated workflows, LLM APIs or cloud AI platforms such as AWS Bedrock, agentic AI systems, multi-agent systems, or evaluation of LLM/agent outputs in production workflows
  • Experience with ML/CV domains relevant to sports understanding, such as action recognition, sequence modeling, multimodal modeling, object detection, tracking, or player identification
  • Experience working with player tracking data, sports analytics, play-by-play data, labeling platforms, and/or ML training platforms such as Union
  • Experience collaborating with CV engineers or integrating CV model outputs into downstream ML workflows
  • Experience using human review or correction workflows to evaluate and improve AI system quality
  • Experience building production systems in Rust
  • Familiarity with streaming, event-driven, audio/video, or real-time data workflows is a plus
  • Background or strong interest in sports, especially soccer, American football, and basketball

The salary for this role is based on an annualized range of $160,000 - $190,000 USD. This role will also be eligible to take part in Genius Sports Group's benefits plan.
We enjoy an 'office-first' culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.
As well as a competitive salary and range of benefits, we're committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports. One team, being brave, driving change
We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.
Let us know when you apply if you need any assistance during the recruiting process due to a disability.