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Software Developer Ai Trainer Jobs in Oregon (NOW HIRING)

Advantive

As a Mid-Level AI Software Developer, you will own and deliver production-ready AI features end-to-end. You will work across LLM integrations, retrieval-augmented generation (RAG) systems, and AI ...

Lumen Technologies

Lead Software Developer

OR · Remote

$105K - $141K/yr

Champion the adoption of AI-assisted software engineering, integrating AI into development ... training. Privacy Notice Lumen is committed to protecting the privacy and security of personal ...

Smarsh

OR

The ideal candidate blends deep full-stack development expertise with strong general software ... and training. Local cost of living assessments are done for each new hire at the time of offer ...

Lumen Technologies

Software Developer II

OR · Remote

$67K - $90K/yr

Lumen is the trusted network for AI. We're transforming how businesses connect, secure, and scale ... training. Privacy Notice Lumen is committed to protecting the privacy and security of personal ...

Sapsol Technologies Inc

OR · On-site

... Software Developers IT Professionals Automation Engineers Students exploring AI technologies AI & Data Enthusiasts Professionals interested in AI workflow automation Why Join This Program? Hands-on ...

Lumen Technologies

Lead AEM Software Developer

OR · Remote

$105K - $140K/yr

AI-assisted coding, testing, and code reviews * Automation of development workflows and ... training. Privacy Notice Lumen is committed to protecting the privacy and security of personal ...

Clari + Salesloft

Principal Software Engineer, AI

OR · On-site +1

$134K - $180K/yr

Principal Software Engineer, AI Location : Remote - US Clari + Salesloft are building the next era ... Define and evolve the APIs, SDKs, and developer interfaces that teams use to interact with the ...

State of Oregon

Senior Software Developer

Salem, OR · On-site

$6.8K - $10K/mo

Senior Software Developer Information Systems Specialist 7 - Senior Software Developer Oregon ... Your cover letter should clearly demonstrate how your experience and training relates to the ...

Nvidia

OR

$108K - $147K/yr

We are seeking an AI infrastructure software engineer to join our team. You'll be instrumental in ... Develop infrastructure software and tools for large-scale pre-training, post-training, and ...

Cotiviti

$111K - $150K/yr

Overview Senior Software Engineer (AI) is a hands-on role responsible for building intelligent ... CI/CD, DevOps, container platforms (OpenShift, Kubernetes, AWS) * Familiarity with AI-assisted ...

Tebra

OR · On-site

This role combines deep software engineering expertise with hands-on experience building production AI systems. You will help transform how healthcare organizations manage billing, payments, claims ...

Near AI

Senior Software Engineer FullStack (AI Apps)

OR · On-site +1

$122K - $161K/yr

Role Summary As one of the early Senior Software Engineers at Near AI you'll be a key member of the ... Make thoughtful decisions about user and developer experience details without constant PM or design ...

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Software Developer Ai Trainer information

What is a Software Developer AI Trainer job?

A Software Developer AI Trainer is responsible for training, testing, and improving AI models by providing high-quality data, refining algorithms, and ensuring accurate outputs. They work closely with developers, data scientists, and machine learning engineers to enhance AI applications. This role involves analyzing model performance, labeling data, writing code for automation, and fine-tuning AI systems to improve accuracy and efficiency.

What types of projects do Software Developer AI Trainers typically work on?

Software Developer AI Trainers commonly work on projects involving the design, training, and optimization of AI models for tasks such as natural language processing, image recognition, or data analysis. They collaborate closely with software engineers, data scientists, and product teams to ensure that AI models are accurate, reliable, and efficient in real-world applications. Daily responsibilities might include curating and labeling datasets, evaluating model performance, and implementing feedback loops to refine results. This collaborative, project-driven environment provides opportunities to work on cutting-edge technology and directly impact product innovation and usability.

What are the key skills and qualifications needed to thrive in the Software Developer Ai Trainer position, and why are they important?

To thrive as a Software Developer AI Trainer, you need a solid background in programming (such as Python, Java, or C++), experience with machine learning concepts, and often a relevant degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch and data annotation tools is highly beneficial, and certifications in AI or data science can further strengthen your profile. Strong analytical thinking, communication skills, and a collaborative mindset set standout candidates apart in this role. These skills are essential for effectively developing, improving, and deploying AI models while working cross-functionally with engineers and data scientists.

What are the most commonly searched types of Software Developer Ai Trainer jobs in Oregon? The most popular types of Software Developer Ai Trainer jobs in Oregon are:
What are popular job titles related to Software Developer Ai Trainer jobs in Oregon? For Software Developer Ai Trainer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Software Developer Ai Trainer jobs in Oregon look for? The top searched job categories for Software Developer Ai Trainer jobs in Oregon are:
What cities in Oregon are hiring for Software Developer Ai Trainer jobs? Cities in Oregon with the most Software Developer Ai Trainer job openings:
Software Developer Ai Trainer jobs near you
Infographic showing various Software Developer Ai Trainer job openings in Oregon as of July 2026, with employment types broken down into 77% Full Time, 20% Part Time, 2% Contract, and 1% Nights. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
AI Software Developer

AI Software Developer

Advantive

Other

Re-posted 25 days ago

Job description

We are building the next generation of intelligent enterprise software—platforms that think, adapt, and automate alongside the people who use them. Our AI & Business Intelligence team delivers conversational assistants, intelligent search, data-driven agents, predictive analytics, and workflow automation that transform how businesses operate.

As a Mid-Level AI Software Developer, you will own and deliver production-ready AI features end-to-end. You will work across LLM integrations, retrieval-augmented generation (RAG) systems, and AI-driven workflows, building reliable backend services and applications that directly impact enterprise customers.

This role is ideal for an experienced software engineer who has shipped AI-powered features in production and is ready to take full ownership of feature delivery, including performance, reliability, and cost efficiency. We are looking for candidates who are practical, collaborative, and comfortable making sound engineering trade-offs in real production environments.

Responsibilities:

  • Design and deliver AI-powered product features end-to-end, from requirements and solution design through implementation, testing, deployment, and post-release optimization.
  • Build and maintain retrieval-augmented generation (RAG) workflows that ground LLM responses in enterprise data, including application-side retrieval design, response grounding, and retrieval tuning.
  • Implement application and backend services that integrate large language models and AI services into enterprise products through well-designed APIs and service boundaries.
  • Develop AI-assisted workflows and agent-style automations that interact safely with enterprise data, product capabilities, and external systems.
  • Create and maintain automated tests, evaluation practices, monitoring, and operational runbooks for AI-enabled features so reliability is designed in from the start.
  • Analyze production behavior, user feedback, and telemetry to improve answer quality, latency, reliability, and cost efficiency. Make and communicate trade-offs between model quality, latency, and cost.
  • Collaborate with product, UX, data, QA, and platform teams to define use cases, acceptance criteria, evaluation methods, and rollout plans.
  • Contribute to engineering standards through code reviews, technical design discussions, and shared best practices focused on testing, observability, security, and performance.

What Success Looks Like

  • Owns AI-powered features end-to-end in production, from implementation through post-release improvement.
  • Uses telemetry, user feedback, and evidence to improve answer quality, latency, reliability, and cost efficiency.
  • Makes sound trade-offs between quality, latency, and cost, and can clearly explain those decisions to technical and non-technical stakeholders.
  • Delivers reliable, well-tested features with appropriate monitoring, evaluation, and operational readiness.
  • Collaborates effectively across engineering, product, UX, data, QA, and platform partners to ship high-quality releases.

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