1

Generative Ai Testing Jobs in Oregon (NOW HIRING)

$32 - $40/hr

Conduct research on Agentic AI models and their potential impact on healthcare workflows and decision-making. * Assist in designing, developing, and testing autonomous AI agents and generative AI ...

AI Engineer

OR · On-site +1

... Generative AI, Machine Learning (ML), and intelligent automation solutions that enhance enterprise software engineering, testing, DevSecOps, and IT operations. The successful candidate will ...

$32 - $40/hr

Conduct research on Agentic AI models and their potential impact on healthcare workflows and decision-making. * Assist in designing, developing, and testing autonomous AI agents and generative AI ...

... Generative AI applications. * Develop reusable AI harnesses to automate testing, prompt evaluation, model benchmarking, regression testing, and quality assurance. * Build AI evaluation frameworks to ...

... Generative AI, Machine Learning (ML), and intelligent automation solutions that enhance enterprise software engineering, testing, DevSecOps, and IT operations. The successful candidate will ...

OR · On-site

Conducts structured Threat Modeling & Risk Assessment exercises for generative AI, RAG, and agent ... Builds and scales AI Security Testing & Red Teaming workflows by creating repeatable adversarial ...

OR

$94K - $266K/yr

We are proud to be creating the future of generative AI and AI agents. Salesforce has launched ... Experience with defining robust testing approaches for GenAI solutions What can you expect in the ...

$140K - $170K/yr

... of agentic and generative AI products. In this role, you'll be the connective tissue between ... testing and iterating based on what's actually moving deals. How You'll Make Impact * Product ...

OR · On-site

$104K - $143K/yr

... Generative AI from "chatting" to "doing." This platform is the intelligent backbone for their semi ... Develop automated testing and evaluation strategies for AI-enabled applications, including prompt ...

OR · On-site

$92K - $119K/yr

... Testing (UAT). * Own the quality and readiness of BA deliverables and coach project team members ... Use Generative AI tools (e.g., Claude, Glean, agents) to accelerate analysis, documentation, and ...

... development, testing, deployment, maintenance, and enhancement. The AI Solutions Engineer also ... Develop Python-based applications and services that support natural language processing, generative ...

OR · On-site

Full ownership of AI-powered support workflows, including design, configuration, testing, and ... Leveraging generative AI tools and technologies to continuously improve response quality and ...

next page

Showing results 1-20

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 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. Certifications in AI or data science can enhance your qualifications and improve job prospects.

Is Generative AI Testing a good career?

Generative AI Testing is a growing field within AI development that involves evaluating the quality and safety of AI-generated content. It requires skills in machine learning, programming, and understanding AI models, making it a promising career path with increasing demand as AI technologies expand. Professionals in this area can find opportunities in tech companies, research labs, and startups focused on AI innovation.

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 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 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:
Infographic showing various Generative Ai Testing job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Intern - Generative AI/Agentic AI/Research

Cotiviti

$32 - $40/hr

Internship

Re-posted 29 days ago


Cotiviti rating

8.3

Company rating: 8.3 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

49th of 223 rated it services


Job description

Overview

This internship centers on researching and developing advanced healthcare informatics solutions with a specialization in Agentic AI-AI systems capable of autonomous reasoning, decision-making, and goal-directed behavior. The intern will explore applications of Agentic and Generative AI in  healthcare, supporting improvements in treatment, payment, and operations. You will play a key role in developing, analyzing, and collaborating on agentic AI projects, and work closely with cross-functional teams to drive innovative research and practical implementation in healthcare environments.

Responsibilities

Technical Expertise

  • Demonstrates a strong understanding of technology trends, research, and emerging technologies relevant to the healthcare industry, particularly in Generative AI.
  • Assists in developing and improving LLMs and ML tools used across the organization.
  • Assists in establishing and maintaining an Artificial Intelligence Governance Program.
  • Gain hands-on experience in generative AI model development, architecture design, and database management.
  • Conduct research on Agentic AI models and their potential impact on healthcare workflows and decision-making.
  • Assist in designing, developing, and testing autonomous AI agents and generative AI systems tailored for healthcare informatics.
  • Support efforts to establish and maintain an Artificial Intelligence Governance Program with a focus on agentic AI ethics and safety.

Communication & Collaboration

  • Communicates technology-related updates and requirements to other departments and contributes to presentations for senior management.
  • Collaborates with research and development teams, product management, and strategic analysts to support ongoing projects.

Leadership & Management

  • Partners with Business Units to provide reliable intelligence, validated technology options, and insights on enterprise and industry trends.
  • Supports technology project teams by coordinating specific tasks, assisting with day-to-day operations, and contributing to the successful delivery of solutions.
  • Assists in collaborative efforts with academic research teams, practicums, internships, and vendor POCs.

External Relationships & Partnerships

  • Supports vendor evaluations and contributes to collaborations with vendors.
  • Assists as a liaison between academic institutions, professional organizations, and research groups as needed.

Other

  • Complete all responsibilities and goals outlined in the internship program.
  • Complete all special projects and other duties as assigned.
  • Must be able to perform duties with or without reasonable accommodation.

This job description is intended to describe the general nature and level of work being performed in this internship. It is not an exhaustive list of responsibilities, duties, and skills required and does not constitute an employment agreement. This job description is subject to change as Cotiviti's needs and requirements of the internship evolve.

Qualifications
  • Currently pursuing or recently completed an advanced degree in healthcare, technology, or a related field (e.g., Biomedical Informatics, Computer Science, AI, etc.) with preference of a PhD.
  • Demonstrated interest or experience in AI, healthcare technology, or informatics research.
  • Strong foundational knowledge in generative AI model development, architectures, and vector databases.
  • Hands-on experience with working with Machine Learning and Deep Learning models. Experience with LLM/RAG models and LLM fine-tuning is a plus.
  • Hands-on experience working with cloud services (AWS/Azure), large data sets, and building data pipelines for ML solutions. Experience with vector embeddings and databases is a plus.
  • Ability to work collaboratively and communicate effectively with cross-functional teams.

Mental Requirements:

  • Communicating with others to exchange information.
  • Assessing the accuracy, neatness, and thoroughness of the work assigned.

Physical Requirements and Working Conditions:

  • Remaining in a stationary position, often standing or sitting for prolonged periods.
  • Repeating motions that may include the wrists, hands, and/or fingers.
  • Must be able to provide a dedicated, secure work area.
  • Must be able to provide high-speed internet access/connectivity and office setup and maintenance.
  • No adverse environmental conditions are expected.

Base compensation ranges from $32.00 to $40.00 per hour. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. 

Nonexempt employees are eligible to receive overtime pay for hours worked in excess of 40 hours in a given week, or as otherwise required by applicable state law.

Date of posting: 4/15/2026

Applications are assessed on a rolling basis. We anticipate that the application window will close on 08/15/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.

#LI-DNP

#LI-LL!

#Intern

Employment Type: OTHER

What Cotiviti employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom