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Alpha Tester Jobs in Texas (NOW HIRING)

Verition Group LLC

Commodities Quant Analyst

Houston, TX · On-site

... of alpha. Rather than focusing on software engineering, this individual will spend their time researching markets, identifying unique datasets, testing hypotheses, and developing predictive signals ...

Verition Group LLC

Commodities Quant Analyst

Houston, TX · On-site

... of alpha. Rather than focusing on software engineering, this individual will spend their time researching markets, identifying unique datasets, testing hypotheses, and developing predictive signals ...

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Production Worker

Grapevine, TX · On-site

$16/hr

This position involves assembling, testing, wiring, fabricating, and packaging electrical and ... How to Apply: Apply online at VSSILLC.com Apply in person: 4100 Alpha Rd #200 Dallas, TX 75244 ...

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Assembly Line Worker

Carrollton, TX · On-site

$16 - $17/hr

Visit us at 4100 Alpha Rd #200, Dallas, TX 75244 , Monday-Friday, 8:00 AM - 3:30 PM. Company ... Testing Nationwide Background Checks Customized Reports

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Server Repair Tech

Grapevine, TX · On-site

$17 - $19/hr

Use hand tools, testing equipment, and computer systems * Follow repair procedures and document ... Visit us at 4100 Alpha Rd #200, Dallas, TX 75244 , Monday-Friday, 8:00 AM - 3:30 PM Company ...

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Alpha Tester information

See Texas salary details

$10

$44

$64

How much do alpha tester jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for alpha tester in Texas is $44.29, according to ZipRecruiter salary data. Most workers in this role earn between $34.95 and $52.16 per hour, depending on experience, location, and employer.

What is an alpha tester?

Alpha testers are individuals who test software, games, or applications in their early development stages to find bugs, provide feedback, and help developers improve the product before it moves to the beta phase. Their main role is to identify critical issues, report glitches, and ensure that the core features work as intended. Alpha testers may be employees within the company or selected external users and often have access to unfinished or unstable versions of the software. Their feedback is crucial for developers to make necessary adjustments and fixes before releasing the product to a wider audience.

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

To thrive as an Alpha Tester, you need strong analytical skills, attention to detail, and a basic understanding of software development or gaming processes, often supported by prior experience in quality assurance or game testing. Familiarity with bug tracking systems, test case management tools, and various platforms or operating systems is typically required. Excellent communication, problem-solving abilities, and a proactive mindset help testers provide clear feedback and collaborate with development teams. These skills are vital to identify and report software issues early, ensuring product quality and a better user experience before public release.

How does an alpha tester typically collaborate with development teams during the testing process?

Alpha Testers work closely with developers by providing real-time feedback on software builds, documenting bugs, and suggesting usability improvements. They often participate in daily stand-ups or regular check-ins to discuss major issues and progress. Effective communication and detailed reporting are key, as Alpha Testers help prioritize problems that need immediate attention. This collaborative environment helps ensure that critical flaws are addressed early, and the product evolves efficiently before reaching a broader audience.

What is the difference between Alpha Tester vs Beta Tester?

AspectAlpha TesterBeta Tester
CredentialsTypically no formal certifications, but technical knowledge is preferredSimilar to Alpha Testers, often no formal certifications required
Work EnvironmentUsually in-house or controlled environment during early developmentExternal testing in real-world environments after Alpha phase
Usage in IndustryEarly-stage testing to identify major bugs and issuesLater-stage testing to gather user feedback and identify remaining issues

Alpha Testers focus on early, internal testing during product development, while Beta Testers evaluate the product in real-world conditions before release. Both roles are crucial for quality assurance but differ mainly in timing and environment.

What skills are needed for alpha testing?

Alpha testers need strong attention to detail, good communication skills, and the ability to identify and document bugs clearly. Familiarity with the software or hardware being tested, basic troubleshooting skills, and knowledge of testing tools or environments are also important for effective alpha testing.

What are popular job titles related to Alpha Tester jobs in Texas?

For Alpha Tester jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Alpha Tester jobs in Texas look for?

The top searched job categories for Alpha Tester jobs in Texas are:

What cities in Texas are hiring for Alpha Tester jobs?

Cities in Texas with the most Alpha Tester job openings:

Alpha Tester jobs near you
Infographic showing various Alpha Tester job openings in Texas as of August 2026, with employment types broken down into 59% Full Time, 34% Part Time, 6% Contract, and 1% Nights. Highlights an 35% Physical, 1% Hybrid, and 64% Remote job distribution, with an average salary of $92,131 per year, or $44.3 per hour.

Commodities Quant Analyst

Verition Group LLC

Houston, TX • On-site

Full-time

Re-posted 16 days ago

Job description

Firm Overview
Verition Fund Management LLC ("Verition") is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading.
Role Overview
Verition is seeking a Quantitative Analyst to join a commodities-focused investment pod in Houston. This is a highly research-oriented role working directly alongside an experienced Portfolio Manager to develop differentiated investment signals using alternative data and quantitative research techniques. The successful candidate will combine a strong foundation in statistics, financial modeling, and Python with a genuine curiosity for uncovering new sources of alpha.
Rather than focusing on software engineering, this individual will spend their time researching markets, identifying unique datasets, testing hypotheses, and developing predictive signals that can be incorporated directly into the investment process.
A significant portion of the role will involve sourcing, analyzing, and modeling alternative datasets related to global commodity markets. This includes working with data such as crude oil vessel tracking (AIS), shipping and freight activity, pipeline flows, refinery operations, storage and inventory data, weather, satellite imagery, and other non-traditional datasets. The objective is to transform raw information into robust, statistically validated signals that provide a measurable investment edge.
Responsibilities
  • Develop financial time series models and predictive forecasting techniques across energy and commodity markets.
  • Research, evaluate, and incorporate alternative datasets into the investment process.
  • Design, test, and validate alpha signals through rigorous statistical analysis and backtesting.
  • Build research pipelines to clean, organize, and analyze large structured and unstructured datasets.
  • Leverage AI and machine learning techniques to improve feature engineering, accelerate research, and identify differentiated investment opportunities.
  • Collaborate with the Portfolio Manager to rapidly prototype new ideas and continuously refine investment models as market dynamics evolve.

Qualifications
  • Strong proficiency in Python and the broader scientific computing ecosystem, including Pandas, NumPy, SciPy, and scikit-learn.
  • Experience with financial time series analysis, statistical modeling, feature engineering, and hypothesis testing.
  • Knowledge of backtesting frameworks, predictive modeling, and signal evaluation techniques.
  • Experience applying machine learning techniques and modern AI tools, including large language models, to quantitative research workflows.
  • Proficiency with SQL, cloud-based data platforms, and working with large-scale structured and unstructured datasets.
  • Interest in commodities, global markets, and alternative data research.
  • Excellent written and verbal communication skills.
  • High level of intellectual curiosity, strong work ethic, and a keen attention to detail.
  • Ability to work effectively in a team-oriented, fast-paced, and dynamic environment

Apply