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Remote Betting Jobs (NOW HIRING)

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

From casinos and racetracks to online gaming, sports betting and entertainment content, we deliver ... Education and conference reimbursements. #LI-REMOTE Salary Range $115,000-$165,000 USD Penn ...

From casinos and racetracks to online gaming, sports betting and entertainment content, we deliver ... Education and conference reimbursements #LI-REMOTE Salary Range $48,000-$70,000 USD Penn ...

Trading Assistant

OR · Remote

$20/hr

Interest in sports betting Even better if you have: * Prior gaming/sports betting experience ... REMOTE

We provide real-time sports betting data and risk management solutions that help clients boost ... Flexible work environment with the option for remote work * Lifestyle Allowance/Lifestyle Spending ...

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Remote Betting information

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$21K

$91.1K

$197K

How much do remote betting jobs pay per year?

As of Jun 10, 2026, the average yearly pay for remote betting in the United States is $91,136.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $123,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working remotely in the betting industry?

Working remotely in the betting industry often requires managing fast-paced decision-making and adapting to rapidly changing market trends, which can be challenging without in-person oversight. Maintaining secure and reliable access to digital platforms and sensitive data is essential and may involve navigating various cybersecurity measures. You’ll also need to stay organized and self-motivated to meet deadlines and performance targets, as remote roles typically offer greater autonomy but less direct supervision. Building clear communication with teammates and staying updated on industry developments are key to overcoming these challenges and excelling in a remote betting position.

What is a Remote Betting job?

A Remote Betting job involves managing wagers, analyzing betting markets, and assisting customers with online betting platforms from a remote location. Responsibilities may include handling customer inquiries, monitoring betting trends, and ensuring compliance with gambling regulations. This role often requires knowledge of sports betting, odds calculation, and familiarity with betting software. Many positions are available in sportsbooks, casinos, or gambling platforms. Strong analytical skills and attention to detail are essential for success in this field.

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

To thrive in a Remote Betting role, you need a strong analytical mindset, knowledge of betting markets, and attention to detail, often supported by experience in gaming, finance, or statistics. Familiarity with online betting platforms, data analysis tools, and secure digital payment systems is essential. Strong communication skills, independence, and ethical judgement are highly valued soft skills for remote teamwork and responsible wagering practices. These skills ensure accurate decision-making, regulatory compliance, and effective contribution to remote teams in a dynamic online environment.

More about Remote Betting jobs
What cities are hiring for Remote Betting jobs? Cities with the most Remote Betting job openings:
What are the most commonly searched types of Betting jobs? The most popular types of Betting jobs are:
What states have the most Remote Betting jobs? States with the most job openings for Remote Betting jobs include:
Infographic showing various Remote Betting job openings in the United States as of June 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $91,136 per year, or $43.8 per hour.
Machine Learning Engineer

Machine Learning Engineer

Swish Analytics

San Francisco, CA • On-site, Remote

$160K/yr

Full-time

Posted 22 days ago


Job description

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and enterprise clients.
The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch. They can assist with optimizing the different aspects of the modeling process (Data Validation, Data Visualization, Data Stores & Structures, Feature Engineering, Model Training & Evaluation, Deployments) and improving a variety of Swish products. They will know when to "roll your own" and when to outsource a particular step in the modeling process. They will engineer custom solutions to solve complex data-related sports challenges across multiple leagues.
This position is 100% remote
Responsibilities:
  • Design, prototype, implement, evaluate, optimize systems to generate sports datasets and predictions with high accuracy and low latency.
  • Evaluate internal modeling frameworks and tools to optimize data scientist's modeling workflow.
  • Build, test, deploy and maintain production systems.
  • Work closely with DevOps and Data Engineering teams to assist with implementation, optimization and scale workloads on Kubernetes using CI/CD, automation tools and scripting languages.
  • Support maintenance and optimization of cloud-native EDW and ETL solutions.
  • Maintain and promote best practices for software development, including deployment process, documentation, and coding standards.
  • Experience applying large scale data processing techniques to develop scalable and innovative sports betting products.
  • Use extensive experience to build, test, debug, and deploy production-grade components.
  • Experience applying large scale data processing techniques to develop scalable and innovative sports betting products.
  • Participate in development of database structures that fit into the overall architecture of Swish systems

Qualifications:
  • Masters degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area
  • 5+ years of demonstrated experience developing and delivering clean and efficient production code to serve business needs
  • A proven background in quantitative analytics, trading, or engineering is required for this position
  • Demonstrated experience developing data science modeling systems and infrastructure at scale
  • Experience with Python and exposure to modern machine learning frameworks
  • Proficient in SQL; experience with MySQL
  • Background and/or interest in Rust preferred
  • Affinity for teamwork and collaboration with others to solve problems, share knowledge, and provide feedback
  • Strong communication skills when discussing technical concepts with technical and non-technical colleagues

Base salary: starting at $160,000 base plus bonus potential
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Engineering & Infrastructure Role Data Science Infrastructure Locations San Francisco, CA - Remote Remote status Fully Remote