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Hourly Software Developer Ai Trainer Jobs in Oregon

Applied AI Developer | Hybrid Build Practical AI That Powers the Work at Leatherman At Leatherman ... Position Summary Builds and ships software across the full spectrum of AI-enabled work at ...

Senior Agentic AI Software Engineer

OR · On-site +1

$122K - $161K/yr

Experience with Docker, Kubernetes, Git, CI/CD pipelines, and modern DevOps practices. * Strong ... Experience using AI coding assistants and autonomous agents as part of daily software development.

$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 ...

Senior Software Engineer, Developer Platform

OR · On-site +1

$54.50 - $72/hr

... Developer Platform) The role, in a nutshell: We're looking for a Senior Software Engineer to join ... AI agents are reshaping how change reaches production, and a key focus this year is scaling that ...

Senior Developer Technology Engineer - AI

Hillsboro, OR · Hybrid

$59.25 - $78.50/hr

Influence the design of next-generation hardware architectures, software, and programming models in ... Come, join our AI Compute DevTech team and help build the real-time, cost-effective computing ...

As a Senior Manager, AI Software Engineering, you will be tasked with managing and scaling AI Engineering teams responsible for delivering production-grade AI systems and customer-facing AI ...

Experienceas a software developer, architect, technology evangelist,developer advocate,technical ... training. Your recruiter can share more about the specific compensation range for your preferred ...

This role works closely with software engineers, data scientists, product owners, and business stakeholders to translate mission and business needs into reliable, scalable, and maintainable AI ...

Forward Deployed AI Engineer

OR · On-site +1

$103K - $139K/yr

Global AI Center of Excellence Lead NewRocket NewRocket's partnership with Anthropic gives our AI ... Required Qualifications 5-8+ years of experience in software engineering, systems integration ...

Sr Software Developer

OR · On-site +1

$110K - $204K/yr

... education or training. Should an offer for employment be made, we will consider individual ... engineering capabilities by designing and delivering scalable, secure software that directly ...

Senior Software Engineer

OR · On-site +1

$200K/yr

We're also investing heavily in AI-assisted development, and engineers on this team actively use ... Solid software engineering experience, typically 5+ years * Strong full-stack development ...

Senior Software Engineer

OR · On-site +1

$200K/yr

We're also investing heavily in AI-assisted development, and engineers on this team actively use ... Solid software engineering experience, typically 5+ years * Strong full-stack development ...

You'll work alongside AI architects, software engineers, platform engineers, cybersecurity engineers, and product leaders to embed AI security into every stage of development from experimentation ...

This role will also champion modern development practices and utilize Azure DevOps for agile ... Hands-on experience with GenAI, model training, evaluation, and hyperparameter tuning. * Experience ...

Senior Gen AI Software Engineer

OR · On-site +1

$122K - $161K/yr

Join Liftoff as a Senior Gen AI Software Engineer and help shape the future of ad tech. As a key member of our Gen AI team, you'll design and build AI-powered products for our demand-side business ...

Showing results 21-40

Hourly Software Developer Ai Trainer information

What is an hourly software developer AI trainer?

An Hourly Software Developer AI Trainer is a professional who helps train artificial intelligence systems, such as language models, by providing feedback, correcting outputs, and creating or reviewing datasets related to software development tasks. These trainers typically work on an hourly basis, often as contractors or freelancers, and use their coding expertise to ensure AI models understand programming concepts and generate accurate code. Their work is crucial for improving the performance and reliability of AI tools that assist with software development.

What are the key skills and qualifications needed to thrive as an hourly software developer AI trainer?

To thrive as an Hourly Software Developer AI Trainer, you need strong programming skills, a solid understanding of machine learning concepts, and hands-on experience with AI model training. Familiarity with tools and frameworks like Python, TensorFlow, PyTorch, and version control systems such as Git is typically required. Excellent communication, attention to detail, and the ability to provide constructive feedback make someone stand out in this position. These skills are crucial for ensuring high-quality AI model outputs, effective collaboration, and continuous improvement of both models and team capabilities.

How does an hourly software developer AI trainer typically collaborate with AI engineers and data scientists during a project?

As an Hourly Software Developer AI Trainer, you will frequently work alongside AI engineers and data scientists to refine data sets, clarify annotation guidelines, and ensure that the training data aligns with the model's objectives. Communication is key, as you'll provide feedback on ambiguous cases and discuss edge scenarios with the technical team to improve model accuracy. This collaborative approach helps bridge the gap between practical software development experience and AI model training, contributing to better real-world performance of AI systems.

What is the difference between Hourly Software Developer Ai Trainer vs Hourly Data Scientist?

AspectHourly Software Developer Ai TrainerHourly Data Scientist
Required CredentialsBachelor's in CS or related field, AI/ML certificationsBachelor's or higher in CS, Statistics, or related field, certifications in data analysis
Work EnvironmentTech companies, AI startups, remote or on-siteResearch labs, tech firms, consulting, remote or on-site
Employer & Industry UsageAI development, machine learning projects, software firmsData analysis, predictive modeling, business intelligence

Hourly Software Developer Ai Trainers focus on developing and fine-tuning AI models, requiring programming skills and AI-specific knowledge. Data Scientists analyze data to extract insights, often working with statistical tools. While both roles involve data and technical skills, AI Trainers specialize in training AI systems, whereas Data Scientists focus on data analysis and interpretation.

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 cities in Oregon are hiring for Hourly Software Developer Ai Trainer jobs?

Cities in Oregon with the most Hourly Software Developer Ai Trainer job openings:

Infographic showing various Hourly Software Developer Ai Trainer job openings in Oregon as of June 2026, with employment types broken down into 29% Full Time, 56% Part Time, 5% Temporary, and 10% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Applied AI Developer

Leatherman

Portland, OR • On-site

Full-time

Posted 19 days ago


Job description

Applied AI Developer | Hybrid

Build Practical AI That Powers the Work at Leatherman

At Leatherman, we believe the best tools solve real problems, perform reliably, and help people accomplish more. That same practical, hands-on mindset guides how we approach artificial intelligence.

We are looking for an Applied AI Developer who can turn promising AI ideas into dependable software that teams across Leatherman can use every day. This role is for a builder who moves quickly, works closely with the business, and knows how to take an application from early experimentation to production.

You will help shape how AI-enabled work gets built and delivered at Leatherman—creating rapid prototypes, scaling the strongest ideas, and improving the quality, observability, and maintainability of everything that ships.

Position Summary

Builds and ships software across the full spectrum of AI-enabled work at Leatherman. Takes AI workflow solutions from the end-to-end transformation pipeline into production. Stands up rapid MVPs to test new ideas in days, not quarters. Scales up the high-profile applications that emerge from across the organization, turning the most useful ideas and experiments into production tools the business depends on.

Works hands-on with functional teams and the broader vibecoding community, using the AI platforms, architectural standards, and reusable components established by the Applied AI team. Keeps delivery velocity high while raising the floor on quality, observability, and maintainability across everything that ships.

Essential Functions

AI Solution and Application Delivery

  • Build, test, and deploy the AI workflows that come out of the company’s transformation pipeline.
  • Stand up rapid MVPs and prototype applications to test new ideas inside a single sprint.
  • Take high-profile vibecoded applications that emerge from across the organization and bring them to production quality.
  • Turn business needs into working software using Leatherman’s AI platform, MCP integrations, and standard tooling.
  • Iterate quickly: ship early, gather user feedback, and refine in production.

Production Engineering and Platform Integration

  • Keep AI workflows running well in production: monitor performance, watch for problems, and respond when something goes wrong.
  • Apply the governance standards set by the AI Governance Lead; keep code, documentation, and testing to the team’s quality bar.
  • Integrate AI workflows with Leatherman’s enterprise systems via MCP and APIM.
  • Use reusable components and patterns from the platform library, and contribute new ones as the work surfaces them.

Build Feasibility and Vendor Evaluation

  • Run SaaS build-feasibility reviews—evaluate whether incoming SaaS contracts could be built internally on the AI platform or with AI coding tools.
  • Document findings, effort estimates, and how well the work fits the platform for each review.
  • Partner with the AI Platform Lead on the final recommendation to leadership.
  • Stay current on the AI vendor landscape; flag tools worth evaluating and partners worth exploring.

Additional Functions

  • Support broader AI Lab and vibecoding community efforts as needed.
  • Keep informed and ahead of AI development practices and emerging technologies.
  • Provide backup technical support to the AI Platform Lead as needed.

What Success Looks Like

  • AI workflows move efficiently from prototype to production.
  • Business teams receive practical, reliable tools that solve meaningful problems.
  • High-value applications developed across the organization are strengthened and scaled for broader use.
  • Production solutions meet Leatherman’s standards for quality, testing, documentation, governance, and maintainability.
  • Reusable components and shared development patterns improve the speed and consistency of future AI work.
  • Strong collaboration is maintained among business sponsors, the Applied AI team, and the broader vibecoding community.

Competencies

  • Drives results: Consistently achieves results, even under tough circumstances.
  • Action oriented: Takes on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.
  • Manages complexity: Makes sense of complex, high-volume, and sometimes contradictory information to effectively solve problems.
  • Tech savvy: Anticipates and adopts innovations in business-building digital and technology applications.
  • Nimble learning: Actively learns through experimentation when tackling new problems, using both successes and failures as opportunities to learn.
  • Collaborates: Builds partnerships and works collaboratively with others to meet shared objectives.
  • Communicates effectively: Develops and delivers a variety of communications that convey a clear understanding to different audiences.
  • Customer focus: Builds strong customer relationships and delivers customer-centric solutions.
  • Ensures accountability: Holds self and others accountable for meeting commitments.

Education and Experience

  • Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field; or equivalent practical experience.
  • Minimum of three years of professional software engineering experience, with hands-on exposure to AI/ML or applied AI development.
  • Working experience with LLM-based applications, agent patterns, retrieval-augmented generation, or AI-integrated workflows.
  • Comfortable with cloud platforms, Microsoft Azure preferred, as well as MCP, APIs, and integration architectures.
  • Solid full-stack development skills with the ability to ship production-grade software.
  • Self-directed and capable of progressing work with light technical supervision.
  • Excellent communication and teamwork skills, including experience working with business sponsors.
  • Experience in manufacturing, consumer products, or enterprise software is a plus.

Build the Next Generation of Tools With Us

This is an opportunity to apply modern AI development practices inside a company known for creating practical tools people can depend on. You will help Leatherman turn emerging technology into working solutions—moving quickly from idea to application while maintaining the quality and reliability expected of the Leatherman name.

If you are energized by rapid experimentation, production engineering, and close partnership with the people who will use what you build, we encourage you to apply.