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Remote Sports Data Entry Jobs in San Ramon, CA (NOW HIRING)

... data entry, chat support, zendesk, Call center, Support, Customer service oriented Top Skills ... remote position. Application Deadline This position is anticipated to close on Aug 14, 2026. About ...

Trading Analyst

San Francisco, CA ยท On-site +1

$75K/yr

... sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

Trading Analyst

San Francisco, CA ยท On-site +1

$65K/yr

... sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

New Homes Service Manager

San Francisco, CA ยท On-site +1

$98K - $117K/yr

... data analysis for process improvement feedback and insight. This position will be based out of one ... Remote work may be considered for exceptional cases. RESPONSIBILITIES: * Establishโ€ฏprocedures ...

... sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

... sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

Virtual Assistant

San Francisco, CA ยท Remote

$25 - $33.50/hr

... data entry, verification, and maintenance of company systems and spreadsheets * Support event ... Comfortable working in a fully remote environment with self-motivation and discipline Additional ...

Showing results 21-40

Remote Sports Data Entry information

See San Ramon, CA salary details

$12

$21

$31

How much do remote sports data entry jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote sports data entry in San Ramon, CA is $21.76, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $24.42 per hour, depending on experience, location, and employer.

What is a remote sports data entry?

A Remote Sports Data Entry job involves entering, updating, and maintaining sports-related data into digital databases or software systems from a remote location. Professionals in this role typically collect statistics, scores, player information, and other relevant data from live games, broadcasts, or official sources. Accuracy and attention to detail are essential, as this information is often used for sports analysis, reporting, and betting platforms. The work can be part-time or full-time, and may require knowledge of various sports and proficiency with data entry software. Remote Sports Data Entry jobs offer the flexibility to work from home while contributing to the fast-paced sports industry.

What are the key skills and qualifications needed to thrive as a remote sports data entry professional?

To thrive as a Remote Sports Data Entry professional, you need excellent attention to detail, fast and accurate typing skills, and familiarity with sports terminology, usually supported by a high school diploma or equivalent. Proficiency with spreadsheet software like Microsoft Excel, web-based data entry platforms, and sometimes experience with sports databases are typically required. Strong time management, reliability, and clear communication are valuable soft skills for meeting deadlines and coordinating with remote teams. These abilities are crucial for ensuring the accuracy and timeliness of sports data, which is essential for analytics, media, and fan engagement.

What are some common challenges faced in a remote sports data entry role, and how can they be addressed?

A common challenge in remote sports data entry is maintaining accuracy and speed while working independently, especially during live events with fast-paced updates. Distractions at home and inconsistent communication with team members can also pose difficulties. To address these, it's important to establish a dedicated, quiet workspace, use reliable internet, and stay organized with clear documentation. Regular check-ins with supervisors and utilizing collaboration tools can help ensure data consistency and team alignment.

What is the difference between Remote Sports Data Entry vs Remote Sports Content Writer?

AspectRemote Sports Data EntryRemote Sports Content Writer
CredentialsBasic data entry skills, familiarity with sports statisticsWriting skills, sports knowledge, possibly a degree in journalism or communications
Work EnvironmentPrimarily computer-based, data-focused tasksResearch, writing, editing, often flexible hours
Employer & Industry UsageSports analytics companies, data providers, betting firmsSports media outlets, blogs, online publications
Search & Comparison IntentUnderstanding data entry roles in sportsComparing writing roles in sports industry

Remote Sports Data Entry involves inputting sports statistics and data into systems, requiring accuracy and familiarity with sports stats. Remote Sports Content Writer focuses on creating sports articles, blogs, or reports, emphasizing writing skills and sports knowledge. Both roles are remote, industry-specific, and involve working with sports content, but they differ in tasks and skill sets.

What are the most commonly searched types of Sports Data Entry jobs in San Ramon, CA?

The most popular types of Sports Data Entry jobs in San Ramon, CA are:

What are popular job titles related to Remote Sports Data Entry jobs in San Ramon, CA?

For Remote Sports Data Entry jobs in San Ramon, CA, the most frequently searched job titles are:

What job categories do people searching Remote Sports Data Entry jobs in San Ramon, CA look for?

The top searched job categories for Remote Sports Data Entry jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Remote Sports Data Entry jobs?

Cities near San Ramon, CA with the most Remote Sports Data Entry job openings:

Machine Learning Engineer

Swish Analytics

San Francisco, CA โ€ข On-site, Remote

$160K/yr

Full-time

Re-posted 19 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