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Generative Ai Training Jobs in Oregon (NOW HIRING)

Particle41

AI Engineer

OR · On-site +1

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 ...

Nvidia

Senior Deep Learning Algorithm Engineer

OR · On-site +1

$122K - $161K/yr

Prior experience with Reinforcement Learning algorithms and compute patterns Expertise in distributed computing, model parallelism, and mixed precision training Prior experience with Generative AI ...

BECU

Enterprise Risk Analyst - AI Risk

OR · On-site +1

$68K - $127K/yr

... education or training. Should an offer for employment be made, we will consider individual ... Work with cutting-edge AI technologies, including machine learning, generative AI, and emerging ...

phData

Business Analyst, AI & Data

OR · On-site +1

Support experimentation and rollout (PoCs, pilots), including test design, feedback loops, training ... Use Generative AI tools (e.g., Claude, Glean, agents) to accelerate analysis, documentation, and ...

New

Jobs for Humanity

Speakers/Writers

Bend, OR

$15 - $60/hr

Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox ... You will play a pivotal role in training AI models, ensuring the accuracy and relevance of Korean ...

Jobs for Humanity

Speakers/Writers

Hillsboro, OR

$15 - $60/hr

Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox ... You will play a pivotal role in training AI models, ensuring the accuracy and relevance of German ...

9th Way Insignia

AI Engineer

OR · On-site +1

Develop and support Generative AI and Large Language Model (LLM) solutions, including model ... Document pre-training and post-training activities, including actions affecting model factuality ...

Pwc

AI Engineer

Portland, OR

$50K - $112K/yr

... training and/or progressively responsible work experience in Engineering with AI and Machine ... Applying generative AI techniques, including prompt engineering, LLM evaluation, and fine-tuning ...

Nimble Gravity

AI Enablement & Adoption Manager

OR · On-site +1

... training, consulting, organizational adoption, or a related field * A specific, named example of something you built or configured with generative AI, not just a tool you used. Think: an agent ...

Nvidia

Senior Solutions Architect, Gen AI

OR · On-site +1

... Generative AI and other related GPU-accelerated technologies in which intelligent agents can learn ... Prepare and deliver technical training presentations and workshops. Build collateral (notebook ...

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Generative Ai Training information

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

For Generative Ai Training jobs in Oregon, the most frequently searched job titles are:

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.

AI Engineer

Particle41

OR • On-site, Remote

Full-time

Re-posted 13 days ago

Job description

AI Engineer

Role Overview:

As an AI Engineer at Particle41 you will design, develop and deploy machine-learning and deep-learning models/solutions (including generative-AI) that address complex business problems. You will collaborate with data scientists, data engineers, software engineers and client stakeholders. You will also build scalable pipelines, ensure production readiness, monitor performance and iterate proactively.

In This Role, You Will:

  • 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 Servers, Conversation AI Agents) aligned with business goals.
  • Work closely with data engineering teams to build/maintain data pipelines, feature stores and orchestration frameworks.
  • Develop and integrate AI models into production systems (APIs, microservices, cloud deployments).
  • Optimize models/solutions for performance, scalability, robustness and cost-efficiency.
  • Monitor models/ solutions' performance in production (drift, bias, fairness, reliability) and implement remediation.
  • Document model design, experiments, data provenance and solution rationale.
  • Stay abreast of latest AI/ML research, frameworks, tools (e.g. LangChain, LangGraph, MCP Clients/Servers, Agents SDKs, LiveKit etc.) and propose innovative ideas.
  • Work directly with clients to understand problem statements, translate business requirements into AI solutions, and clearly communicate results.

Skills and Experience We Value:

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
  • 3+ years of hands-on experience in AI/ML model development and deployment.
  • Strong programming skills in Python and experience with major ML/AI frameworks (TensorFlow, PyTorch, scikit-learn, LangChain, LangGraph).
  • Experience with vector databases (e.g., Pinecone, FAISS), RAG and Agentic workflows.
  • Experience building or fine-tuning Large Language Models (LLMs).
  • Experience deploying models into production: building REST APIs, microservices and monitoring.
  • Familiarity with Text-to-Speech and Speech-to-Text models/solutions like Deepgram, ElevenLabs, Cartesia etc.
  • Experience in computer vision, time-series modelling (ARIMA, Prophet) or multimodal AI.
  • Familiarity with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker).
  • Strong understanding of algorithms, data structures, statistics, and machine-learning fundamentals (classification, regression, clustering, deep learning, sequence models).
  • Ability to work in a fast-paced, dynamic environment and adapt to changing priorities.
  • Publications, open-source contributions, or personal projects in the AI/ML domain

About Particle41

Our core values of Empowering, Leadership, Innovation, Teamwork, and Excellence drive everything we do to achieve the ultimate outcomes for our clients. Empowering Leadership for Innovation in Teamwork with Excellence ( ELITE )

E - Empowering: Enabling individuals to reach their full potential. L - Leadership: Taking initiative and guiding each other toward success. I - Innovation: Embracing creativity and new ideas to stay ahead. T - Teamwork: Collaborating with empathy to achieve common goals. E - Excellence: Striving for the highest quality in everything we do.

We seek team members who embody these values and are committed to contributing to our mission. Particle41 welcomes individuals from all backgrounds who are committed to our mission and values. We provide equal employment opportunities to all employees and applicants, ensuring that hiring and employment decisions are based on merit and qualifications without discrimination based on race, color, religion, caste, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, local, or international laws. This policy applies to all aspects of employment and hiring. 

We appreciate your interest and encourage applicants from these regions to apply. If you need any assistance during the application or interview process, please feel free to reach out to us at careers@Particle41.com.

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