ZipRecruiter

Log In

1

Generative Ai Testing Jobs in Oregon (NOW HIRING)

Waabi

Research Scientist, World Models

OR · On-site +1

$155K - $269K/yr

... provide rich generative priors for downstream planning, testing, and training. You will ... generative AI, differentiable rendering, knowledge distillation/compression, and robotics.

15Five

Senior Software Engineer

OR · Remote

$122K - $161K/yr

Our AI ecosystem blends generative AI, predictive models, and structured people data to deliver ... testing, review, and deployment - while ensuring your code is correct, secure, and performant.

Deloitte

AI Security Engineer Manager

Portland, OR · On-site

Integrate security across the SSDLC, including code reviews, testing, and deployment. In this role ... and Generative AI solutions. You will operate hands-on across high-visibility initiatives ...

NeuraFlash, Part of Accenture

OR

$69 - $85.50/hr

We are proud to be creating the future of generative AI and AI agents. Salesforce has launched ... Provide oversight on testing strategy (unit, integration, UAT), ensuring solutions meet functional ...

NeuraFlash, Part of Accenture

OR

$63 - $83/hr

We are proud to be creating the future of generative AI and AI agents. Salesforce has launched ... testing, deployment, and post-go-live support. Customization and Integration * Leverage Tools:

NeuraFlash, Part of Accenture

OR

$64.75 - $85/hr

We are proud to be creating the future of generative AI and AI agents. Salesforce has launched ... Knowledge of automation tools and frameworks for building, testing, and deploying software, such as ...

NeuraFlash, Part of Accenture

OR

$94K - $266K/yr

We are proud to be creating the future of generative AI and AI agents. Salesforce has launched ... Knowledge of automation tools and frameworks for building, testing, and deploying software, such as ...

Pwc

US Tech - AI Engineering Senior Associate

Portland, OR · On-site

$55K - $187K/yr

... and validate Generative AI agents and data pipelines, promoting reliability, scalability, and ... Responsibilities - Apply automated testing and governance controls effectively - Analyze complex ...

BECU

Sr. Software Engineer - AI Innovation Team

OR · On-site +1

$110K - $204K/yr

From integrating machine learning models and generative AI services to guiding best practices and ... Perform unit testing and identify defects in traditional and AI-augmented code paths to strengthen ...

NeuraFlash, Part of Accenture

OR

We are proud to be creating the future of generative AI and AI agents. Salesforce has launched ... Experience in all phases of services delivery, software development, and testing life cycles

CookUnity

OR

Deep expertise in experimentation and causal inference , including A/B testing, incrementality ... Familiarity with generative AI and LLM applications in product contexts * Experience building data ...

Adobe

OR · On-site

Partner cross-functionally on generative AI initiatives to unlock new customer value and drive ... Understanding of applying WCAG conformance criteria in design, specifically testing comps ...

CookUnity

OR

Develop AI-powered methodologies for testing creative variations at scale and translate performance ... generative AI and creative technology tools (e.g., Midjourney, Runway, Google Veo 3, Kling AI ...

Upstart

Sr Software Engineer - Lending Platform

OR · Remote

$122K - $161K/yr

Experience designing, testing, and deploying reliable production systems using software engineering ... Curiosity for applying generative AI tools to accelerate software development and improve ...

next page

Showing results 1-20

All JobsGenerative Ai Testing JobsGenerative Ai Testing Jobs in Oregon

Generative Ai Testing information

What is the difference between Generative Ai Testing vs Data Scientist?

AspectGenerative Ai TestingData Scientist
Required CredentialsKnowledge of AI models, testing tools, programming skillsStatistics, programming, data analysis certifications
Work EnvironmentAI development teams, testing labs, tech companiesResearch labs, tech firms, finance, healthcare
Employer & Industry UsageAI product testing, quality assurance in techData analysis, predictive modeling across industries

Generative Ai Testing focuses on evaluating and validating AI-generated content and models, ensuring quality and accuracy. Data Scientists analyze data, build models, and derive insights. While both roles require programming and AI knowledge, Generative Ai Testing emphasizes testing processes, whereas Data Scientists focus on data analysis and model development.

How much do AI testers get paid?

AI testers, involved in evaluating and validating generative AI models, typically earn salaries ranging from $60,000 to $120,000 annually depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with specialized skills in machine learning and data analysis can earn higher wages.

Is AI testing a good career?

AI testing, including roles like Generative AI Testing, is a growing field with increasing demand for skills in machine learning, data analysis, and software quality assurance. It offers opportunities in tech companies, research labs, and startups, often requiring knowledge of AI frameworks and testing tools. The career can be stable and rewarding for those with technical expertise and an interest in AI development.

What are the key skills and qualifications needed to thrive as a Generative AI Testing Specialist, and why are they important?

To thrive as a Generative AI Testing Specialist, you need a robust understanding of machine learning principles, model evaluation techniques, and a background in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and model evaluation frameworks, as well as experience with automated testing platforms, is typically required. Analytical thinking, attention to detail, and strong communication skills help you identify model weaknesses and collaborate effectively with development teams. These skills are crucial to ensure the reliability, safety, and ethical deployment of generative AI solutions.

What is the salary of generative AI tester?

The salary of a generative AI tester typically ranges from $70,000 to $120,000 annually, depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with specialized skills in AI and machine learning can earn higher salaries. Certifications in AI or related fields can also influence compensation.

What are some common challenges faced when testing generative AI models, and how can I prepare to address them in this role?

Testing generative AI models often involves unique challenges such as evaluating the quality and relevance of generated content, detecting bias or inappropriate outputs, and ensuring model consistency across various prompts. You may work closely with data scientists and engineers to create robust evaluation frameworks and develop automated as well as manual testing strategies. Familiarity with prompt engineering, statistical evaluation techniques, and domain-specific knowledge will help you address these challenges effectively. Proactively staying updated on industry best practices and collaborating with cross-functional teams are key to success in this dynamic field.

How do I become an AI tester?

To become an AI tester, you should have a strong understanding of machine learning concepts, programming skills in languages like Python, and experience with data annotation and model evaluation. Familiarity with AI tools, testing frameworks, and quality assurance processes is also important. Gaining relevant certifications or training in AI and software testing can enhance your qualifications.

What is Generative AI Testing?

Generative AI Testing refers to the process of evaluating and validating AI systems, particularly those that generate content such as text, images, or code. This type of testing focuses on assessing the accuracy, reliability, fairness, and safety of generative models to ensure they function as intended and avoid producing harmful or biased outputs. Testers use various methods, including automated and manual techniques, to check for issues like hallucinations, inappropriate content, or security vulnerabilities. The goal is to build trust in generative AI systems and ensure they meet quality and ethical standards before deployment.
What are popular job titles related to Generative Ai Testing jobs in Oregon? For Generative Ai Testing jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Generative Ai Testing jobs in Oregon look for? The top searched job categories for Generative Ai Testing jobs in Oregon are:
Generative Ai Testing jobs near you
Infographic showing various Generative Ai Testing job openings in Oregon as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Research Scientist, World Models

Waabi

OR • On-site, Remote

$155K - $269K/yr

Full-time

Posted 26 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

Waabi’s autonomous-driving stack is powered by Waabi World, which aims to deliver realistic, scalable, controllable, and efficient simulation. As a Research Scientist in World Models, you will develop algorithms and productionize the next generation of World Models that can reason about complex, dynamic 4D environments.
This role focuses on large-scale world models for temporal reasoning and generation, including video models, multimodal generative models, LLM/VLM/VLA models, and predictive models of traffic participants and scenes. Your work will directly power Waabi World’s ability to model future evolution, synthesize realistic safety-critical scenarios, and provide rich generative priors for downstream planning, testing, and training.
 

You will…

- Conduct fundamental and applied research in generative and predictive world-modeling

• Video generation and prediction.

• Latent diffusion / autoregressive / flow-matching models.

• Multimodal foundation models for driving scenes.

• LLM / VLM / VLA methods for scene understanding, reasoning, and control.

• Generative scenario modeling and controllable simulation.

• Model distillation.

- Collaborate with engineers to integrate models into large-scale, distributed training and rendering pipelines.

- Publish high-impact research at top conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICRA, SIGGRAPH).

- Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.

- Stay on top of emerging advances in generative AI, differentiable rendering, knowledge distillation/compression, and robotics.


Qualifications:

- Demonstrated technical innovation:  You have a Ph.D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research experience pushing the boundaries of a technical field..

- Strong prototyping and implementation:  You have expert-level Python & PyTorch (or JAX) skills; strong software-engineering fundamentals and experience with distributed training.

- Expert domain knowledge: You have built  generative or predictive models of the physical world with scale and efficiency in mind for real-world applications

- Team player:  You have worked in a close-knit team of researchers and engineers and have strong communication  to deliver successful projects. 

 

Bonus:

- Proven ability to translate research into production-quality code and measurable product impact.

- Demonstrated publications (first-author) in top-tier venues on topics such as world models, generative simulation, video prediction, diffusion, flow-matching, or foundation models for autonomy.

The US yearly salary range for this role is: $155,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.