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Entry Level Game Beta Tester Jobs (NOW HIRING)

Research Assistant

San Mateo, CA · On-site

$150K - $200K/yr

This is an entry-level research role for individuals with less than 3 years of research experience ... Beta testing internal and third-party tools for teaching robots new skills * Troubleshooting ...

Police Officer - Entry Level

Redmond, WA · On-site

$110K - $127K/yr

... gaming to biomedical and innovation start-ups. The City of Redmond seeks to continue a strong ... Pass the physical ability test administered by Public Safety Testing (PST) Score a 70% or better on ...

They can come to the site and learn about causes with articles, videos and games; they can find a ... We're looking for a visionary Lead Web Developer who wants to drastically improve a successful Beta ...

Install, upgrade, configure, diagnose, and conduct final testing of AGT products and gaming devices ... Provide training to entry-level technicians as necessary. * Assist in troubleshooting and resolving ...

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Entry Level Game Beta Tester information

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How much do entry level game beta tester jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for entry level game beta tester in the United States is $18.29, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $19.95 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Game Beta Tester vs Quality Assurance Tester?

AspectEntry Level Game Beta TesterQuality Assurance Tester
CredentialsHigh school diploma or equivalent; passion for gamingHigh school diploma; some technical knowledge preferred
Work EnvironmentRemote or on-site testing during game developmentOn-site or remote testing within development teams
Industry UsageCommon in gaming companies for early feedbackUsed across various software industries, including gaming
Search IntentEntry level testing roles focused on game beta testingQuality assurance roles in gaming and software

While both roles involve testing software, an Entry Level Game Beta Tester primarily focuses on playing pre-release games to identify bugs and provide feedback, often with minimal technical skills. A Quality Assurance Tester has a broader scope, including systematic testing, documentation, and ensuring overall game quality. Both roles are essential in game development but differ in responsibilities and technical requirements.

What cities are hiring for Entry Level Game Beta Tester jobs?

Cities with the most Entry Level Game Beta Tester job openings:

What are the most commonly searched types of Game Beta Tester jobs?

The most popular types of Game Beta Tester jobs are:

What states have the most Entry Level Game Beta Tester jobs?

States with the most job openings for Entry Level Game Beta Tester jobs include:

Research Assistant

Generalist AI, Inc

San Mateo, CA • On-site

$150K - $200K/yr

Full-time

Re-posted 22 days ago


Job description

About the Role:
We are looking for a Research Assistant to help design, run, and analyze experiments at the intersection of machine learning and robotics. This is an entry-level research role for individuals with less than 3 years of research experience, and is designed to be a potential career path towards eventually contributing as a Research Scientist.
At Generalist, we are building foundation models for robots. These models improve through a tight feedback loop: design experiments, collect data, train or fine-tune models, evaluate them in the real world, analyze results, and repeat. This role helps make that loop faster, more rigorous, and more reliable.
You will work closely with ML researchers and robotics engineers to run robot experiments, design evaluation tasks, brainstorm ideas, collect data, interpret results, and document repeatable workflows.
A major part of this role is helping ensure our evaluations are trustworthy. We care deeply about experimental design, controls, hands-on iteration, sample sizes, variance, repeatability, and statistical rigor.
You'll be responsible for:
  • Running structured experiments on robot platforms
  • Setting up physical tasks, materials, fixtures, and benchmarks for robot evaluations
  • Collecting high-quality robot data and tracking experimental conditions
  • Measuring real-world success rates across tasks, robots, and model variants
  • Designing evaluations with attention to controls, repeatability, statistical rigor, and sources of bias
  • Analyzing results to help distinguish real model improvements from noise
  • Synthesizing findings and communicating them clearly to ML researchers and engineers
  • Preparing robots, sensors, workspaces, and materials for rollouts and evaluations
  • Helping kick off training jobs, run evaluations, and organize results
  • Beta testing internal and third-party tools for teaching robots new skills
  • Troubleshooting physical setups, hardware issues, and procedural bottlenecks
  • Writing clear documentation and playbooks so others can reproduce workflows
  • Improving experimental reliability, data quality, and operational throughput over time
You might thrive in this role if you:
  • Have experience running experiments, lab studies, field studies, data collection workflows, or structured evaluations
  • Think carefully about experimental design, confounding factors, controls, sample sizes, variance, and what conclusions the data can actually support
  • Are diligent and detail-oriented, especially when tasks are repetitive but subtle differences matter
  • Enjoy hands-on work with physical systems, equipment, materials, or instruments
  • Are comfortable following protocols while also noticing when something is wrong or could be improved
  • Can coordinate many moving parts: robots, materials, tasks, data, model versions, metrics, and documentation
  • Communicate clearly and can summarize what happened, what changed, and what the evidence suggests
  • Are curious about machine learning and robotics, even if you are not yet an expert in either
  • Have some exposure to programming, data analysis, robotics, hardware, electronics, mechanical assembly, or experimental tooling
  • Prefer fast iteration, careful measurement, and empirical progress over abstract theory alone
About Generalist
At Generalist, we are on a mission to make general-purpose robots a reality. We believe the industries and homes of the future will depend on humans and machines working together in new ways. Robots can help us build more and get more done.
We build embodied foundation models, starting with a focus on dexterity. This requires advancing the frontiers of data, models, and hardware, to enable robots to intelligently interact with the physical world.
The company embraces both large-scale AI and robotics as core to its DNA. Our team of researchers, roboticists, and company builders come from OpenAI, Boston Dynamics, Google DeepMind, and other frontier labs-with a track record of shipping AI breakthroughs. Before Generalist, we pioneered large embodied multimodal models and vision-language-action models (PaLM-E, RT-2, Gemini Robotics), launched and scaled ChatGPT and GPT-4 to hundreds of millions of users, engineered the foundations of autonomous driving, built next-generation robots (Atlas, Spot, Stretch) and pushed the limits of what they can do (from parkour to manipulation, and testing robustness).
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.