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Online Beta Testing Jobs in California (NOW HIRING)

Swish Analytics

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

... beta testing, to partnering with data engineering and product teams to deploy new models. * Strive to constantly improve model performance using insights from rigorous offline and online ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

... beta testing, to partnering with data engineering and product teams to deploy new models. * Strive to constantly improve model performance using insights from rigorous offline and online ...

Swish Analytics

NFL Data Scientist

San Francisco, CA

$140K/yr

... beta testing, to partnering with data engineering and product teams to deploy new models. * Strive to constantly improve model performance using insights from rigorous offline and online ...

Swish Analytics

Soccer Data Scientist

San Francisco, CA · On-site +1

$130K/yr

... beta testing, to partnering with data engineering and product teams to deploy new models. * Strive to constantly improve model performance using insights from rigorous offline and online ...

Adobe

B2B Performance Marketing Specialist

San Jose, CA · On-site

... beta testing. Cross-team Integration: * Align marketing efforts with SEO, Site Search, and all ... Understanding of how marketing strategies integrate with other online and offline media campaigns.

KIWIBIT INC

User Experience & Community Lead

Irvine, CA · On-site

$65K - $85K/yr

... beta programs and user testing initiatives with clear reporting. - Coordinate with product and ... managing online communities and feedback channels (WhatsApp, Discord, FB Groups). - Strong ...

KIWIBIT INC

User Experience & Community Lead

Irvine, CA · On-site

$65K - $85K/yr

... beta programs and user testing initiatives with clear reporting. - Coordinate with product and ... managing online communities and feedback channels (WhatsApp, Discord, FB Groups). - Strong ...

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All JobsOnline Beta Testing JobsOnline Beta Testing Jobs in California

Online Beta Testing information

See California salary details

$17.3K

$40.1K

$84.9K

How much do online beta testing jobs pay per year?

As of Aug 23, 2026, the average yearly pay for online beta testing in California is $40,064.00, according to ZipRecruiter salary data. Most workers in this role earn between $24,700.00 and $42,900.00 per year, depending on experience, location, and employer.

What is online beta testing?

Online beta testing is the process of evaluating a software, website, or digital product by allowing a select group of users to use it before its official release. Beta testers provide feedback on bugs, usability issues, and overall user experience, helping developers identify and fix problems. This phase is crucial for ensuring the final product is stable, user-friendly, and meets customer expectations. Beta testers may be volunteers or paid participants, and their input can significantly influence the final version of the product.

What are the key skills and qualifications needed to thrive as an online beta tester, and why are they important?

To thrive as an Online Beta Tester, you need strong attention to detail, analytical thinking, and experience in software or game testing, often supported by familiarity with QA methodologies. Technical proficiency with bug tracking systems (like JIRA), test management tools, and various operating systems or platforms is typically required. Excellent communication, patience, and adaptability are essential soft skills for providing clear feedback and navigating evolving test environments. These skills ensure thorough identification of issues, effective collaboration with development teams, and high-quality end products.

What are some common challenges faced by online beta testers, and how can they overcome them?

Online beta testers often encounter challenges such as ambiguous testing instructions, limited communication with development teams, and dealing with frequent software bugs. To overcome these obstacles, testers should document issues clearly, ask clarifying questions when instructions are unclear, and collaborate with other testers via forums or chat groups. Staying organized and proactive in reporting bugs can also help ensure that feedback is valuable and actionable for developers.

What is the difference between Online Beta Testing vs Software Tester?

AspectOnline Beta TestingSoftware Tester
CredentialsBasic technical knowledge, sometimes specific platform familiarityOften requires certifications like ISTQB or similar
Work EnvironmentRemote, often freelance or project-basedCan be remote or on-site, typically within a company
Industry UsageUsed in software, gaming, app development for user feedbackUsed across software, applications, and systems for quality assurance
Search & Comparison IntentFocuses on testing new products pre-releaseFocuses on identifying bugs and improving software quality

Online Beta Testing involves users testing products before launch, providing feedback from a user perspective. Software Testers perform detailed testing within organizations to identify bugs and ensure quality. While both roles involve testing, beta testers are often non-professionals or end-users, whereas software testers are trained professionals working within companies.

What are the most commonly searched types of Beta Testing jobs in California?

The most popular types of Beta Testing jobs in California are:

What are popular job titles related to Online Beta Testing jobs in California?

For Online Beta Testing jobs in California, the most frequently searched job titles are:

What job categories do people searching Online Beta Testing jobs in California look for?

The top searched job categories for Online Beta Testing jobs in California are:

What cities in California are hiring for Online Beta Testing jobs?

Cities in California with the most Online Beta Testing job openings:

Online Beta Testing jobs near you
Infographic showing various Online Beta Testing job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $40,064 per year, or $19.3 per hour.

Tennis Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$135K - $190K/yr

Full-time

Re-posted 5 days ago

Job description

Company 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 consumer/enterprise clients.
Job Description
Swish Analytics is looking for a Tennis Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA.
Duties:
  • Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products.
  • Develop contextualized feature sets using sports specific domain knowledge.
  • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.
  • Strive to constantly improve model performance using insights from rigorous offline and online experimentation.
  • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.
  • Adhere to software engineering best practices and contribute to shared code repositories.
  • Document modeling work and present to stakeholders and other technical and non-technical partners.

Requirements:
  • Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area
  • Demonstrated experience developing models at production scale for Tennis or sports betting for 2+ years
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting
  • Experience with relational SQL & Python
  • Experience with source control tools such as GitHub and related CI/CD processes
  • Experience working in AWS environments etc
  • Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
  • Excellent communication skills to both technical and non-technical audiences

Base salary: $135,000 - $190,000
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 Data Science Role Tennis Team Locations San Francisco, CA - Remote Remote status Fully Remote

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