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Generative Ai Training Jobs in Oregon (NOW HIRING)

Nike

Generative AI Lead Designer

Beaverton, OR · On-site

Will accept any suitable combination of education, experience, and training * Hands-on experience with node-based, visual coding environments for generative AI creative tooling, and a track record of ...

RWS Group

$120K - $140K/yr

But preparing AI training data is a monumental task that can take up the vast majority of AI ... generative AI data services for all types of AI, in any language, at any scale, based on the ...

RWS Group

$120K - $140K/yr

But preparing AI training data is a monumental task that can take up the vast majority of AI ... generative AI data services for all types of AI, in any language, at any scale, based on the ...

Noblesoft Technologies

Gen-AI Program Lead

Portland, OR · On-site

Deep understanding of generative AI models, architectures, and training pipelines * Experience managing multi-stream AI development teams and coordinating cross-functional efforts * Proficiency in AI ...

Particle41

OR

Lead end-to-end development of AI/ML models: from data ingestion & preprocessing to model training, evaluation, deployment and monitoring. * Build generative-AI solutions (RAG, Agentic Workflows, MCP ...

InvoiceCloud

OR · On-site

Conducts structured Threat Modeling & Risk Assessment exercises for generative AI, RAG, and agent ... training and inference environments across AWS and Azure. * Builds and scales AI Security Testing ...

Nike

Lead, Footwear Computational Design

Beaverton, OR · On-site

You are energized by emerging tools, including Generative AI, and you actively integrate them into ... Will accept any suitable combination of education, experience and training. * 5+ years experience ...

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Generative Ai Training information

What are some common challenges faced by professionals working in generative AI training roles?

Professionals in Generative AI training often encounter challenges such as ensuring data quality and diversity, combating model bias, and staying updated with fast-evolving algorithms. Collaborating closely with data scientists, engineers, and subject matter experts is essential to create robust training datasets and refine model outputs. Additionally, balancing computational resource demands with project deadlines can be demanding, making strong project management and adaptability key assets in this role.

What are the key skills and qualifications needed to thrive in generative AI training?

To thrive in Generative AI Training, you need a strong background in machine learning, data science, and programming (especially Python), often supported by a degree in computer science or a related field. Experience with frameworks like TensorFlow, PyTorch, and familiarity with large language models and cloud platforms is typically required. Strong analytical thinking, creativity, and effective communication are essential soft skills for designing training data and refining model outputs. These skills and qualities are crucial for developing high-quality, ethical, and scalable AI systems that meet organizational goals.

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

AspectGenerative Ai TrainingData Scientist
Required CredentialsKnowledge of AI models, programming, machine learningStatistics, programming, data analysis
Work EnvironmentAI development teams, tech companies, research labsBusiness, finance, tech firms, research institutions
Industry UsageDeveloping generative models like GPT, DALL·EData analysis, predictive modeling, insights generation

Generative Ai Training focuses on developing and fine-tuning AI models that generate content, requiring expertise in AI frameworks and machine learning. Data Scientists analyze data to extract insights and build predictive models. While both roles involve programming and data skills, Generative Ai Training is specialized in AI model creation, whereas Data Scientists work broadly with data analysis across industries.

What is generative AI training?

Generative AI training refers to the process of teaching artificial intelligence models, such as neural networks, to create new content like text, images, audio, or code. This is done by exposing the AI to large datasets so it can learn underlying patterns and generate outputs that mimic human-like creativity. The training process often involves techniques like supervised learning, unsupervised learning, or reinforcement learning, depending on the desired outcome. Generative AI is widely used in applications like chatbots, image generation, and content creation.

What are popular job titles related to Generative Ai Training jobs in Oregon?

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What job categories do people searching Generative Ai Training jobs in Oregon look for?

The top searched job categories for Generative Ai Training jobs in Oregon are:

What cities in Oregon are hiring for Generative Ai Training jobs?

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

Generative Ai Training jobs near you
Infographic showing various Generative Ai Training job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, 3% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Generative AI Lead Designer

Nike

Beaverton, OR • On-site

Full-time

Posted 25 days ago

Nike rating

7.6

Company rating: 7.6 out of 10

Based on 274 frontline employees who took The Breakroom Quiz

7th of 104 rated fashion retailers

Job description

WHO YOU'LL WORK WITH
Nike's Design Generative Studio is exploring the future of footwear design at the intersection of creativity and AI technology. You'll partner with world-class designers and engineers globally, reporting to the Generative Studio leadership. Your work will directly impact design teams worldwide as you help build and implement AI-augmented workflows that empower our creative community. You'll collaborate closely with AI/ML engineers, footwear designers, and global technology teams to help transform how Nike approaches product creation.
WHO WE ARE LOOKING FOR
We're looking for a GenAI designer who is both a strong designer and a hands-on tool builder. You bring solid creative foundations paired with a genuine passion for generative AI, an appetite for learning fast, and a natural drive to share what you build with others. You're not just a tool user - you like rolling up your sleeves to create solutions when existing tools fall short, and you're comfortable working at the intersection of art and technology. This role is a great fit for someone who enjoys bridging experimental AI prototypes and production-ready tools, and who can translate design needs into technical requirements (and back the other way).
  • 4-5 years of experience in design, with clear steps toward creative technology and tool-building
  • Bachelor's degree in Industrial Design, Architecture, Fashion Design, or a related creative discipline. Will accept any suitable combination of education, experience, and training
  • Hands-on experience with node-based, visual coding environments for generative AI creative tooling, and a track record of building custom workflows within them
  • Solid working knowledge of 2D and 3D design workflows and software, with an understanding of footwear design principles (or the ability to quickly pick this up)
  • Awareness of additive manufacturing and 3D printing, and how AI-generated concepts can move into physical prototypes.
  • Portfolio showing both creative output and technical/tool-building work
  • Bonus: experience with spatial computing (AR/VR), web development for rapid prototyping, or active participation in the AI/design community

WHAT YOU'LL WORK ON
You'll help shape how Nike approaches footwear design by building and refining AI-augmented workflows that fit naturally into our creative process. Alongside the wider team, you'll create custom tools, support adoption across the design community, and contribute to defining a new creative discipline at Nike.
  • Partner with footwear designers to understand existing 2D and 3D creative workflows, and identify high-value opportunities for AI augmentation that enhance rather than replace human creativity
  • Design and prototype clean, modern generative AI workflows using node-based visual coding environments, tailored to footwear design challenges, iterating quickly on feedback from the design community
  • Collaborate with global AI/ML engineers to accelerate the development and deployment of generative AI solutions, acting as a link between creative and engineering teams and translating design needs into technical requirements
  • Help scale prototypes from proof-of-concept toward enterprise-grade tools that serve designers worldwide, working with global technology teams on reliability, performance, and accessibility
  • Support AI adoption by contributing to training materials, workshops, and demonstrations that make generative AI tools approachable for designers of all technical levels
  • Stay close to developments in generative AI, evaluating and integrating new models and techniques, and helping build a culture of experimentation on the team
  • Share learnings and best practices across the organization to grow the wider design community's capabilities and help drive adoption of new methodologies
  • Provide hands-on support to design teams during key moments such as Creative Launch, Creative Direction Week, and other design reviews, so teams can get the most out of AI tools when it matters most.

We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

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