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Online Beta Testing Jobs (NOW HIRING)

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site

$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

Tennis Data Scientist

San Francisco, CA · On-site

$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

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 ...

Micromine

Mine Planning Consultant

Denver, CO · On-site

$105K/yr

Such training may take place at a client's site, at a third-party venue or online * Provide our clients with telephone, email and face to face support * BETA testing new versions and products ...

Daifuku

ILUS - Controls Engineer III

Bolingbrook, IL · On-site

$82K - $106K/yr

Perform on site beta testing to ensure safety, reliability, and other performance metrics are met ... online, please email HR-ILUS@daifukuna.com Employment Type: OTHER

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How much do online beta testing jobs pay per year?

As of Jun 5, 2026, the average yearly pay for online beta testing in the United States is $40,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $25,000.00 and $43,500.00 per year, depending on experience, location, and employer.

Is beta testing a good career?

Beta testing is a role within quality assurance that involves evaluating software before release to identify bugs and improve user experience. It can be a good entry point into the tech industry, offering skills in testing, reporting, and familiarity with development tools, but it often serves as a stepping stone to more advanced positions in software development or QA. Career growth depends on gaining additional skills and experience in related areas.

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 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.

Does Google pay for beta testing?

Google does not typically pay individuals for beta testing its products; beta testing is usually voluntary and aimed at gathering user feedback. However, some companies or programs may offer incentives or compensation for participating in specific testing initiatives. Job roles related to beta testing often involve testing software or hardware, but payment depends on the company's policies and the nature of the testing program.

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 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.
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Online Beta Testing jobs near you
Basketball Data Scientist

Basketball Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$130K/yr

Full-time

Posted 27 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 hiring Basketball 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. We're hiring a Data Scientist to support our Sports Data Models
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:
  • Bachelor's degree in Data Analytics, Data Science, Computer Science or related technical subject area; Masters highly preferred
  • Demonstrated experience developing models at production scale for Basketball or sports betting
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • Minimum of 4+ 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: Starting at $130,000
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 NBA Team Locations San Francisco, CA - Remote Remote status Fully Remote

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