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Generative Ai Testing Jobs in Oregon (NOW HIRING)

Business Systems Software Engineer

Hillsboro, OR · On-site

$188K - $223K/yr

Strong software engineering fundamentals including debugging, testing, and writing maintainable ... Experience incorporating generative AI capabilities into software applications using Azure AI ...

Business Systems Software Engineer

Hillsboro, OR · On-site

$188K - $223K/yr

Strong software engineering fundamentals including debugging, testing, and writing maintainable ... Experience incorporating generative AI capabilities into software applications using Azure AI ...

... with Generative AI (GenAI) adoptions. We are transforming our technology ecosystem from one ... As a member in the Help Center sub team, You will be responsible for ideating, building, testing ...

Staff Backend Engineer - Core Product (USA)

OR · On-site +1

$210K - $290K/yr

Thrive on experimentation: you're comfortable testing ideas, measuring results, and iterating ... Bonus: experience with LLMs/generative AI, distributed systems. What you'll get: * Competitive ...

Senior Forward Deployed Engineer- AWS

Portland, OR · On-site

$110K - $152K/yr

... Generative AI Developer (Professional - AIP-C01), AWS Certified Machine Learning Engineer ... Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and ...

Lead Forward Deployed Engineer - AWS

Portland, OR · On-site

$108K - $143K/yr

... Generative AI Developer (Professional - AIP-C01), AWS Certified Machine Learning Engineer ... Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and ...

Showing results 41-60

Generative Ai Testing information

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 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.

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 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 do I become a Generative AI Testing?

To become a Generative AI Tester, develop skills in machine learning, natural language processing, and programming languages like Python. Gain experience with AI frameworks such as TensorFlow or PyTorch and understand data quality and model evaluation techniques. Relevant certifications and hands-on projects can enhance your qualifications for roles in AI testing environments.

Is Generative AI Testing a good career?

Generative AI Testing is a growing field within AI development, focusing on evaluating the quality and safety of AI-generated content. It requires skills in machine learning, programming, and understanding AI models, often involving tools like Python and TensorFlow. The role offers opportunities in tech companies and research labs, with demand expected to increase as AI applications expand.

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 cities in Oregon are hiring for Generative Ai Testing jobs?

Cities in Oregon with the most Generative Ai Testing job openings:

Infographic showing various Generative Ai Testing job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Visualization Engineer 5 - Member Insights Engineering

Netflix

OR • On-site, Remote

$340K - $510K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 9 days ago


Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

72nd of 78 rated media


Job description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology.

Come be a part of what's next. Member DSE is at the forefront of these innovations. Our mission is to use data to improve how subscribers experience streaming and to drive higher-quality viewing and discovery experiences, no matter where, how, or when global members are watching.

The Member Insights Engineering team combines capabilities across the analytical data and tooling/services/libraries layers with the goal of delivering insights through applications. The work on the Insights Engineering team has a strong technical lean and requires the ability to work effectively with engineering-centric tooling and systems. As a Senior Data Visualization Engineer, you will be a key owner of our product suite, partnering with Analytics Engineers and Product Managers to build exceptional data experiences.

This is a role for someone eager to learn, collaborate, and make an impact on a rapidly growing business. In this role, you will: Partner and Build. You will collaborate closely with our senior analytics engineers, data scientists, and product managers to build and iterate on our core data products.

Create and Design Intuitive Data Experiences. You will take on the challenge of transforming complex, messy data into engaging and informative visualizations that clearly explain key business trends to stakeholders and executives. Showcase Your Engineering Craft.

You will own, diagnose, and solve technical problems in our codebase and help improve our engineering velocity by adopting best practices in testing, component design, and AI-assisted development. Learn the Business. You will support the team by addressing ad hoc business-critical questions, providing a valuable opportunity to learn about the member business and establish yourself as a trusted partner to our stakeholders.

Explore and Innovate. You will have the opportunity to explore new technologies and share your opinions on how we can leverage emerging trends, such as Generative AI, to enhance our products and workflows. We are looking for: Deep Curiosity and High Agency.

You are eager to constantly learn across the stack and about the business problems we solve. You are a self-starter, capable of self-direction when given context, and are motivated to build great data products that impact business decisions. Foundational Data Experience Design.

You have a passion for making complex data easy to understand. You understand the core principles of data visualization, including the effective use of charts, color, and information hierarchy. You can apply these skills to create prototypes and iterate with users rapidly.

Knowledgeable about trade-offs between different chart types and able to make good decisions on how to represent various types of data best. Front-End Skills. You are passionate about building beautiful web apps that focus on data explanation and exploration.

You have experience with Node.js and front-end JavaScript (TypeScript encouraged). You have experience working with a component framework, such as React or Vue.js. D3 or other visualization experience preferred

A Collaborative Spirit. You thrive in a team environment, enjoy partnering closely with other engineers and cross-functional team members, and are open to giving and receiving feedback to achieve shared success. Data-centric.

You're familiar with working with data teams who craft metrics and know how to query data using skills like SQL or GraphQL. Basic statistical knowledge and intuition is preferred. A Product Thinker.

You are interested in the entire product lifecycle and are keen to learn how to build excellent products. You can participate in product development discussions and help turn user feedback into new features. Interest in Generative AI.

You have some experience with, or an intense curiosity about, building with Gen AI tooling and can contribute ideas on how to integrate these capabilities into our products. Embodies the Netflix Values while bringing a new perspective to continue improving our culture Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options.

To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $340,000.00 - $510,000.00. This compensation range will vary based on location

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off.

Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here. Netflix is a unique culture and environment.

Learn more here. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.


What Netflix employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997