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Hourly Software Developer Ai Trainer Jobs in Oregon

Senior Software Engineer

OR · On-site +1

$122K - $161K/yr

Boosted.ai is building AI purpose-built for finance to help teams do more. Our mission is to ... Bachelor's, Master's, or PhD in Computer Science, Software Engineering, or a related field. * 3+ ...

Sr. Software Engineer - AI Innovation Team

OR · On-site +1

$110K - $204K/yr

... education or training. Should an offer for employment be made, we will consider individual ... Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins, TeamCity). * Deep understanding ...

Improve CI/CD, testing, observability, reliability, security, and developer experience. * Create ... Strong experience designing, building, and operating production software systems. * Deep expertise ...

OR · On-site

$57.50 - $77.25/hr

Natera is seeking a Software Engineer III to help design, develop, and maintain our Voice AI platform. This platform handles thousands of patient calls daily, providing automated test status ...

Collaborate with cross-functional teams including DevOps, cybersecurity, QA, and product ... Familiarity with the AI/ML lifecycle including data preparation, model training, evaluation ...

... AI software stacks, GPU programming, and performance optimization. Contributes to the design ... Annual Salary Range for jobs which could be performed in the US: $101,100.00-136,800.00 USD (Hourly ...

Higher Logic Vanilla is looking for a Senior Software Developer (Backend / PHP) who thrives at the intersection of product engineering, scalability, and modern developer workflows-including AI ...

Senior Applied AI Engineer

OR · On-site +1

$122K - $161K/yr

We don't simply build AI-powered software-we build software with AI. This is not another chatbot ... developer productivity. * Evaluate emerging LLMs, multimodal models, agent frameworks, and AI ...

Principal Software Engineer, AI SIEM

OR · On-site +1

$134K - $180K/yr

As a Principal Software Engineer, AI SIEM, you will be tasked with reasoning across all three layers of SentinelOne's AI SIEM: how data moves and gets queried at scale, how analysts actually work ...

Showing results 41-60

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.

Software Architect - AI Workflow Architecture

Daimler Truck North America LLC.

Portland, OR • On-site

$117 - $150/hr

Other

Medical, Retirement, PTO

Posted 13 days ago


Daimler Truck North America rating

8.3

Company rating: 8.3 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

2nd of 44 rated automakers


Job description

## Software Architect – AI Workflow ArchitectureApplyremote type: Hybridlocations: Portland, OR UStime type: Full timeposted on: Posted Todaytime left to apply: End Date: August 18, 2026 (13 days left to apply)job requisition id: DT-19115**Inside the Role**As a Software Architect focused on AI-enabled workflow architecture, you will play a key role in defining scalable automation platforms, agentic workflow patterns, model-serving capabilities, and enterprise software integrations for complex engineering environments. You will design architecture building blocks that connect engineering systems, data sources, automation pipelines, and AI services into robust, maintainable, and governed end-to-end workflows. This role emphasizes system-level thinking, software architecture depth, and close collaboration with product, platform, validation, and software engineering teams to improve engineering productivity and delivery quality. This position operates within the Software Verification and Release organization and supports global vehicle platforms, software-defined vehicle programs, and engineering automation initiatives.**Posting Information**We provide a scheduled posting end date to assist our candidates with their application planning. While this date reflects our latest plans, it is subject to change, and postings may be extended or removed earlier than expected.**We Take Care of Our Team****Position offers a starting salary range of $117,000 – $150,000 USD**Pay offered dependent on knowledge, skills, and experience.Benefits include annual bonus program; 401k company contribution with company match up to 6% as well as non-elective company contribution of 3 - 7% depending on age; starting at 4 weeks paid vacation; 13+ calendar holidays; 8 weeks paid parental leave; employee assistance program; comprehensive healthcare plans and wellness programs; onsite fitness (at some locations); tuition assistance and volunteer paid time off; short-term and long-term disability plans.**What You Will Do*** Define reference architectures for AI-enabled workflow platforms, agent orchestration, automation pipelines, and enterprise engineering integrations* Design scalable software building blocks for workflow execution, model serving, tool integration, data exchange, observability, and lifecycle management* Develop architecture patterns that combine deterministic automation pipelines with AI-driven agents, human-in-the-loop review gates, and traceable decision points* Collaborate with product owners, software engineers, system engineers, data scientists, and platform teams to translate business needs into robust technical designs* Establish API-first, event-driven, and cloud-native integration approaches across engineering toolchains, enterprise systems, and automation services* Apply software engineering best practices including architecture governance, coding standards, source control, security, CI/CD, automated validation, and operational monitoring* Evaluate emerging AI, automation, and platform technologies and shape technical roadmaps for reusable workflow architecture capabilities* Analyze and design large-scale, distributed, and complex systems with a focus on maintainability, interoperability, reliability, security, scalability, and operational excellence* Provide technical leadership, mentoring, and architectural guidance to implementation teams working on AI-enabled workflows and engineering automation platforms**Knowledge You Should Bring*** Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or related technical field; advanced degree preferred* 8+ years of relevant experience in software architecture, distributed systems, enterprise application development, automation platforms, or engineering software systems* Strong programming and software design experience in modern languages such as Python, Java, C#, TypeScript, C/C++, or similar* Experience designing modular, maintainable, and scalable software components for workflow platforms, orchestration frameworks, enterprise integrations, or cloud-native systems* Understanding of AI-enabled software systems, including agentic workflows, model-serving patterns, prompt/tool orchestration, retrieval-augmented generation, evaluation, and governance* Experience with API design, event-driven architecture, microservices, data pipelines, CI/CD, infrastructure as code, observability, secure development, and production operations* Ability to integrate heterogeneous systems through REST APIs, event streams, workflow engines, data services, and enterprise integration patterns* Familiarity with software lifecycle, requirements management, test management, DevOps, release management, traceability, and quality practices in engineering environments* Strong analytical and communication skills with the ability to translate ambiguous business needs into clear architecture decisions and implementation guidance**Exceptional Candidates*** Experience architecting enterprise AI platforms, multi-agent systems, autonomous workflow orchestration, or AI-enabled engineering automation at production scale* Experience with LLMOps/MLOps, model lifecycle management, model evaluation, safety guardrails, semantic validation, telemetry, and governance for AI-enabled applications* Experience designing event-driven orchestration across requirements management, test management, CI/CD, issue tracking, simulation, HiL/SiL, or validation* environments* Automotive software, Software Defined Vehicle, embedded systems, test automation, virtual validation, ECU.test, IBM ELM/ETM, Jira, GitHub, or comparable engineering toolchain experience* Ability to define reference architectures, technical roadmaps, platform standards, and reusable architectural patterns adopted across multiple teams and global engineering sites* Demonstrated leadership in complex cross-functional initiatives involving software architecture, data platforms, AI systems, cybersecurity, compliance, and change management**Behavioral Competencies*** Strong collaboration skills across software, validation, platform, infrastructure, data, and product teams* Clear and structured communication of complex architecture topics to technical contributors and leadership audiences* Self-motivated, with a continuous improvement mindset and ability to operate in ambiguous, evolving technical environments* Pragmatic focus on business value, delivery outcomes, operational reliability, and long-term maintainability#LI-DC1#LI-HYBRID**Where We Work**This position is open to applicants who can work in (or relocate to) the following location(s)-Portland, OR US. Relocation assistance is not available for this position.**Schedule Type:**Hybrid (4 days per week in-office / 1 day remote). This schedule builds our #OneTeamBestTeam culture, provides an unparalleled customer experience, and creates innovative solutions through in-person collaboration.At Daimler Truck North America, we recognize our world is changing faster than ever before. By listening to the needs of today, we’re building to solve with cutting-edge solutions in sustainability and future driving technology across electric, hydrogen and autonomous. These solutions, backed by years of innovative success and achievement, continue DTNA’s legacy as the undisputed industry leader. Our evolving brand portfolio is second to none, including Freightliner Trucks, Western Star, Demand Detroit, Thomas Built Buses, Freightliner Custom Chassis, and Financial Services. Together, we work as one team towards our envisioned future – building a cleaner, safer and more efficient tomorrow for all.That is what we are working toward - for all who keep the world moving.**Additional Information*** Visa sponsorship will **only** be open to current Daimler Truck North America employees working under an existing U.S. Daimler Truck North America Visa* **All other applicants** must be legally authorized to work permanently in the country the position is located in at the time of application* Final candidate must successfully complete a criminal background check* Final candidate may be required to successfully complete a pre-employment drug screen* Contractors, professional services, or other contingent workers should confirm with their local agency if they are eligible to apply for FTE positions* EEO - Disabled/VeteransDaimler Truck North America is committed to workforce inclusion and providing an environment where equal employment opportunities are available to all applicants and employees without regard to race, color, sex (including pregnancy), religion, national origin, age, marital status, family relationship, disability, sexual orientation, gender identity and expression (including transgender and transitioning status), genetic information, or veteran status.For an accommodation or special assistance with applying for a posted position, please contact our Human Resources department at 503-745-8982 or toll free 800-206-3369. For TTY/TDD enabled call 503-745-2137 or toll free 866-355-6935. #J-18808-Ljbffr

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