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Crowd Testing Jobs in Texas (NOW HIRING)

Nvidia

Senior AI Architect, Computer Use Agents

Austin, TX · On-site

$128K - $174K/yr

... testing and every component in SDLC. You will collaborate closely across internal teams and ... Ways to stand out from the crowd: * Familiarity with safety, guardrails, and policy enforcement for ...

City Of Horseshoe Bay

Police Officer

Horseshoe Bay, TX · On-site

$68K/yr

... control, crowd control, protection of fire equipment, hoses, equipment, etc., and provides ... Individuals holding this position will be subjected to random drug testing on a regular basis. The ...

Nvidia

Senior Firmware Engineer, NIC Firmware

Austin, TX · On-site

$118K - $156K/yr

... testing environment. * Gain a deep understanding of system debug, networking technology and stacks ... Ways to stand out from the crowd: * Deep familiarity with RDMA stacks (RoCE, InfiniBand) and ...

NVIDIA

Senior Compiler Engineer - Backend

Austin, TX

Good communication and documentation skills and self-motivated Ways to stand out from the crowd ... Experience in compiler unit testing, IRs, and visualization of IRs With competitive salaries and a ...

Nvidia

Senior AI Compiler Engineer, MLIR

Austin, TX · On-site

$121K - $160K/yr

... testing. * Ability to work independently, define project goals and scope, and lead your own ... Ways to stand out from the crowd: * Understanding of deep learning models, algorithms, and ...

Nvidia

Senior Compiler Engineer - Backend

Austin, TX

Good communication and documentation skills and self-motivated Ways to stand out from the crowd ... Experience in compiler unit testing, IRs, and visualization of IRs With competitive salaries and a ...

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How much do crowd testing jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for crowd testing in Texas is $43.40, according to ZipRecruiter salary data. Most workers in this role earn between $32.45 and $55.10 per hour, depending on experience, location, and employer.

Which testing has the highest salary?

In the field of crowd testing, specialized roles such as test managers or quality assurance leads tend to have the highest salaries due to their experience and leadership responsibilities. However, overall, software testing roles with advanced skills in automation, security, or performance testing typically command higher pay. Certifications like ISTQB or CSTE can also contribute to higher earning potential.

Does tester work really pay?

Crowd testing jobs typically pay per test or project, with rates varying based on complexity and platform. Payments can range from a few dollars for simple tests to higher amounts for more detailed testing, and consistent income depends on the volume of available tasks and the tester’s skills. Many testers earn supplemental income rather than full-time wages.

What are the typical challenges faced by professionals working in crowd testing roles?

Crowd testing professionals often encounter challenges such as coordinating with a diverse group of testers from different time zones and backgrounds, ensuring consistent communication, and managing varying levels of tester expertise. Additionally, they must efficiently triage and validate a high volume of bug reports, distinguishing genuine issues from duplicates or low-priority findings. Adapting to rapidly changing project requirements and maintaining effective collaboration with remote teams and clients are also common aspects of the role.

What are the key skills and qualifications needed to thrive as a Crowd Tester, and why are they important?

To excel as a Crowd Tester, you need strong attention to detail, analytical thinking, and familiarity with software testing concepts, often supported by basic IT knowledge or relevant certifications. Competence with bug tracking tools, test case management systems, and various operating systems or mobile devices is commonly required. Strong communication, reliability, and the ability to follow detailed instructions help you stand out in this role. These skills ensure accurate testing, clear reporting, and valuable feedback for improving product quality.

What companies will pay you to test their products?

Crowd testing companies and platforms such as UserTesting, Testbirds, and Applause pay individuals to test websites, apps, and products. These companies typically require testers to have basic technical skills and provide feedback on usability, functionality, and user experience. Payment varies based on the project and platform, often offering per-test or hourly rates.

What is crowd testing?

Crowd testing is a testing method where a large group of diverse testers, often remote and independent, evaluate software or websites to identify bugs and usability issues. It leverages the collective effort of many testers to provide rapid feedback and improve product quality, often using online platforms and testing tools.

What is the difference between Crowd Testing vs Software Tester?

AspectCrowd TestingSoftware Tester
CredentialsBasic testing knowledge, sometimes certificationsOften requires testing certifications (e.g., ISTQB)
Work EnvironmentRemote, crowdsourced, flexibleTypically in-office or remote, dedicated team
Industry UsageUsed by companies seeking diverse device/browser testingUsed for ongoing quality assurance in software development

While both Crowd Testing and Software Testers focus on software quality, Crowd Testing involves a large, diverse group of testers often working remotely and on-demand, ideal for quick, broad testing. Software Testers are usually part of a dedicated team with specialized skills, focusing on detailed, structured testing processes.

What are popular job titles related to Crowd Testing jobs in Texas? For Crowd Testing jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Crowd Testing jobs in Texas look for? The top searched job categories for Crowd Testing jobs in Texas are:
Crowd Testing jobs near you
Senior AI Architect, Computer Use Agents

Senior AI Architect, Computer Use Agents

Nvidia Corporation

Austin, TX • On-site

$128K - $174K/yr

Full-time

Posted 13 days ago

Job description

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company".
We are looking for an outstanding Senior Agentic AI Engineer to build groundbreaking mutli-modal agentic AI Solutions for NVIDIA software stack. As a member of the team, you will develop new agentic AI solutions to accelerate software design, code generation, performance improvement, testing and every component in SDLC. You will collaborate closely across internal teams and organizations and see your work used in products all over the world.
What you'll be doing:
  • Collaborate with software and hardware teams to identify high-impact opportunities for applying agentic AI technologies.
  • Lead the design, development, and optimization of agentic AI solutions that address challenges in performance, quality and productivity.
  • Develop and maintain agentic AI benchmarks to evaluate performance across diverse use cases.

What we need to see:
  • Bachelor's degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); MS or PhD preferred.
  • 3 years+ industry or academia experience with AI systems development; exposure to building foundational models, reinforcement learning, agents or orchestration frameworks; hands-on experience with deep learning frameworks and inference stacks.
  • Proficiency in Python and at least one systems language such as Go, Rust, or C++
  • Experience developing agentic or automated systems that communicate with external tools, APIs, browsers, or operating systems .

Ways to stand out from the crowd:
  • Familiarity with safety, guardrails, and policy enforcement for autonomous systems
  • Deep expertise in building, training, and fine-tuning foundation models.
  • Experience designing, executing, and analyzing AI model evaluation and benchmarking.
  • Open-source leadership in deep learning, agentic AI systems, or reinforcement learning.
  • Experience with GPU programming and performance optimization.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 26, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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