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Generative Ai Testing Jobs in Oregon (NOW HIRING)

Upstart

Senior 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 ...

LTS

Lead Forward Deployed Engineer (FDE)

OR · On-site +1

$102K - $134K/yr

Drive implementation of CI/CD pipelines, automated testing, monitoring, logging, observability, and ... Experience designing, building, and deploying AI/ML or Generative AI solutions in production ...

Intel

Software Engineer

Hillsboro, OR · On-site

Contribute to the architecture, design, implementation, testing, and deployment of AI/ML-enabled ... End-to-end experience with generative AI and LLM-based solutions, includingone or more of the ...

Kalepa

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 ...

TechnologyAdvice

Email Marketing Manager

OR · Remote

Use generative AI and AI-powered marketing tools to accelerate campaign planning, testing, analysis, reporting, and workflow efficiency while maintaining editorial judgment and quality standards.

TechnologyAdvice

Email Marketing Manager

OR · Remote

Use generative AI and AI-powered marketing tools to accelerate campaign planning, testing, analysis, reporting, and workflow efficiency while maintaining editorial judgment and quality standards.

Adobe

OR · On-site

Experience building LLM powered applications, and familiarity with the generative AI landscape ... testing and validation techniques, and modern dev-ops practices About Adobe Design Adobe Design is ...

Beyondsoft Consulting

AI Integration: Assist in implementing and testing agentic workflows and advanced RAG (Retrieval ... Strong interest in generative AI, LLMs, and modern system architecture. * Familiarity with any of ...

Roseburg

BI Data Engineer

Springfield, OR

Responsibilities include architecture, design, development, testing, and support of a new Tableau ... Working knowledge of AI prompt engineering and the effective application of generative AI ...

Vista Equity Partners Management

$105/hr

Contribute hands-on-keyboard to agent-first repositories - building, testing, and iterating on ... Genuine interest in generative AI and agentic systems, and the drive to ramp quickly. * Excellent ...

Zocdoc

OR

$114K - $156K/yr

... testing. * Deep experience securing cloud infrastructure and containerized ecosystems using ... Required: the ability to integrate generative AI tools into daily workflows to automate tasks ...

Deloitte

CyberArk Senior Consultant

Portland, OR

Experience designing, developing, deploying, implementing, or supporting AI, Generative AI, or ... testing frameworks such as JUnit, Mockito, or equivalent, and with automated testing and CI/CD ...

Roseburg Forest Products

BI Data Engineer

Springfield, OR · On-site +1

$52.75 - $68.50/hr

Responsibilities include architecture, design, development, testing, and support of a new Tableau ... Working knowledge of AI prompt engineering and the effective application of generative AI ...

Nvidia

Technical Marketing Engineer - Omniverse

OR · On-site +1

... for crafting, testing, and deploying the next era of physical AI, robotics, and industrial ... Familiarity with AI-enabled workflows, generative AI tools, synthetic data, robotics simulation, or ...

SentinelOne

OR

$98K - $116K/yr

Evaluate and integrate AI tools (e.g., generative AI for requirements documentation, process mapping, testing, and reporting) into standard PM workflows * Lead vendor management activities including ...

Nvidia

OR · On-site

Hands-on experience improving generative models with a focus on perceptual quality and temporal ... testing, profiling, experiment tracking). * Experience training and debugging large models in multi ...

Upstart

Senior Software Engineer, Unsecured Installments

OR · On-site +1

$122K - $161K/yr

Familiarity with modern frontend tooling and testing frameworks (e.g., Jest, React Testing Library, Cypress) and CI/CD workflows. * Hands-on experience leveraging generative AI in product features or ...

CookUnity

OR · On-site

Causal & experimentation rigor: uplift/incrementality measurement and A/B testing, with the ... Ability to leverage generative AI to increase output quality and speed. Preferred requirements:

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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.
Senior Software Engineer - Lending Platform

Senior Software Engineer - Lending Platform

Upstart

OR • Remote

$122K - $161K/yr

Other

Posted 23 days ago

Job description

The Team

Upstart's Lending Platform team builds the systems that power critical financial operations across the company. The team develops highly scalable, event-driven platforms that automate accounting close processes, capital risk workflows, and other finance capabilities that support the accuracy and integrity of Upstart's financial operations.

As a Senior Software Engineer, you'll design and deliver the core systems that process large volumes of financial data and events. Your work will directly influence the reliability of Upstart's balance sheet, accelerate finance automation, and create a strong technical foundation for future investments across Treasury and other financial platforms.

How you'll make an impact
  • Design, build, and operate distributed, event-driven systems that power accounting close automation and capital risk workflows.
  • Deliver scalable data processing solutions that transform high-volume financial events into accurate, reliable business outcomes.
  • Partner closely with Product, Data Analytics, Finance, and Engineering teams to define technical solutions for complex financial processes.
  • Improve the reliability, scalability, and maintainability of critical financial systems while thoughtfully managing technical debt.
  • Lead multi-quarter engineering initiatives from architecture through production, balancing long-term platform investments with business priorities.
  • Leverage AI-assisted development tools to improve engineering productivity while maintaining high standards for quality, security, and correctness.
Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience).
  • 4+ years of professional software engineering experience building and operating production systems. (L5 standard).
  • Experience designing and building distributed, event-driven applications in cloud environments such as AWS.
  • Experience developing scalable backend services that process large volumes of data using modern programming languages.
  • Experience designing, testing, and deploying reliable production systems using software engineering best practices.
Preferred Qualifications
  • Knowledge of financial systems, accounting processes, or capital risk management.
  • Experience building high-throughput data processing or event streaming platforms.
  • Ability to design systems that balance scalability, maintainability, and long-term operational efficiency.
  • Experience collaborating across engineering, product, analytics, and business stakeholders to deliver complex technical initiatives.
  • Curiosity for applying generative AI tools to accelerate software development and improve engineering effectiveness.
Position location

Remote

Travel requirements

As a digital-first company, the majority of your work can be accomplished remotely. Most employees live and work throughout the U.S. or Canada (outside Quebec) and come together for regular team onsites several times per year.

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