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Training Ai Models Jobs in Remote, OR (NOW HIRING)

Sara Software Systems

AI Engineer

OR · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking an AI Engineer who is, first and foremost, a strong software engineer. In this role ... Knowledge of ML fundamentals: model training, fine-tuning, and evaluation (PyTorch or TensorFlow)

Sara Software Systems

AI Engineer

OR · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking an AI Engineer who is, first and foremost, a strong software engineer. In this role ... Knowledge of ML fundamentals: model training, fine-tuning, and evaluation (PyTorch or TensorFlow)

Atos

Head of AI

OR · On-site +1

... models. * Help support the partner ecosystem with hyperscalers and AI platform vendors; drive co ... Upskill broader delivery teams through training programs, communities of practice, and internal ...

Atos

Head of AI

OR · On-site +1

... models. * Help support the partner ecosystem with hyperscalers and AI platform vendors; drive co ... Upskill broader delivery teams through training programs, communities of practice, and internal ...

Anytime AI

Machine Learning Engineer

OR · Remote

$100K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

About Anytime AI At Anytime AI, we are building the Premier AI Legal Assistant for Plaintiff ... Experience in training Large Language Models. * Web development experience or willingness to ...

Lumen Technologies

Senior Lead Architect

OR · On-site +1

$132K - $176K/yr

  • Medical

  • Life

Use AI tools to accelerate research, network analytics, documentation, automation, modeling, and ... and training. * Master of Business Administration, or 5-7+ Years of equivalent experience in ...

New

Lumen Technologies

Senior Software Developer

OR · Remote

$84K - $112K/yr

  • Medical

  • Life

We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises ... data models, testing results, and support procedures. * Conduct end-user and technical training ...

Roseburg

Plant Engineer

Dillard, OR · On-site

Provide direction for training and knowledge sharing with team members to strengthen department ... Model Company values * Other duties as assigned Required Qualifications * Bachelor's in Engineering ...

Roseburg Forest Products

Plant Engineer

Dillard, OR · On-site

Provide direction for training and knowledge sharing with team members to strengthen department ... Model Company values * Other duties as assigned Required Qualifications * Bachelor's in Engineering ...

Lumen Technologies

Network Inventory GIS Engineer

OR · Remote

$67K - $90K/yr

  • Medical

  • Life

We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises ... technology modeling, training, and general support of peer organizations use of GIS network ...

Sapiens

Sr. Business Analyst, Reinsurance

OR · On-site +1

$86K - $112K/yr

... and training for new or more junior Business Analysts.The Senior Business Analyst must have ... Captures business requirements using Change Requests, Storyboarding, Use Case Modeling, etc

Carter's, Inc.

Sales Manager (Part Time)

Roseburg, OR · On-site

We've kept our close-knit culture since our founding, and we invest in our teams with training and ... Carter's does not use AI to make any decision in our hiring process. NOTE: This is not all ...

Carter's

Sales Manager (Part Time)

Roseburg, OR · On-site

We've kept our close-knit culture since our founding, and we invest in our teams with training and ... Carter's does not use AI to make any decision in our hiring process. NOTE: This is not all ...

All JobsTraining Ai Models JobsTraining Ai Models Jobs in Remote, OR

Training Ai Models information

See Remote, OR salary details

$15

$42

$77

How much do training ai models jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for training ai models in Remote, OR is $42.17, according to ZipRecruiter salary data. Most workers in this role earn between $27.84 and $53.80 per hour, depending on experience, location, and employer.

What are common challenges faced when training AI models, and how are they addressed?

One of the most common challenges in training AI models is handling large, complex datasets that often contain errors or inconsistencies, which can impact model performance. Professionals in this role frequently collaborate with data engineers and subject matter experts to clean and properly label data, as well as implement quality assurance checks throughout the process. Additionally, tuning model parameters and addressing issues such as overfitting or underfitting often require experimentation and iterative testing. Most teams employ version control and hold regular review sessions to ensure best practices are followed, making collaboration and communication essential parts of overcoming these challenges.

What is a training AI model?

A Training AI Models job involves developing, refining, and optimizing machine learning models by providing them with relevant data, adjusting parameters, and evaluating their performance. Professionals in this role clean and preprocess data, select appropriate algorithms, and fine-tune models for accuracy and efficiency. They may also work with engineers and researchers to ensure models generalize well to real-world applications. The goal is to create AI systems that perform specific tasks effectively, such as natural language processing, image recognition, or predictive analytics.

What are the key skills and qualifications needed to thrive in the training AI models position, and why are they important?

To thrive in Training AI Models, you need strong programming skills in languages like Python, a solid understanding of machine learning concepts, and typically a degree in computer science, data science, or a related field. Experience with machine learning frameworks such as TensorFlow, PyTorch, and familiarity with data preprocessing and annotation tools are commonly required; certifications in AI or data science can be advantageous. Effective communication, keen attention to detail, and collaboration are vital soft skills for working with cross-functional teams and ensuring data quality. These abilities are crucial for developing accurate models, delivering impactful AI solutions, and maintaining high standards throughout the model development lifecycle.

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Infographic showing various Training Ai Models job openings in Remote, OR as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $87,713 per year, or $42.2 per hour.

AI Engineer

Sara Software Systems

OR • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago

Job description

We are seeking an AI Engineer who is, first and foremost, a strong software engineer. In this role, you will design, build, and ship AI-powered features end to end, from integrating large language models and machine learning services into our products, to developing the front-end applications that put those capabilities in users' hands. You will work across the stack, with a strong emphasis on front-end development and cloud-native engineering on Google Cloud Platform (GCP). 

Responsibilities 

  • Design, develop, and deploy AI-powered applications and features, integrating LLMs and ML models into production software 
  • Build and maintain responsive, high-quality front-end applications using modern JavaScript frameworks (React, Angular, or Vue) 
  • Develop APIs and backend services that connect front-end applications with AI/ML models and data pipelines 
  • Build, evaluate, and optimize LLM-based solutions including prompt engineering, RAG (Retrieval-Augmented Generation) pipelines, embeddings, and vector search 
  • Architect, deploy, and manage applications and AI workloads on Google Cloud Platform (Vertex AI, Cloud Run, Cloud Functions, BigQuery, GKE) 
  • Fine-tune and integrate models from providers such as OpenAI, Anthropic, and Google, as well as open-source models (Hugging Face, LLaMA, etc.) 
  • Implement MLOps/LLMOps best practices: CI/CD pipelines, model monitoring, evaluation, and versioning 
  • Write clean, well-tested, maintainable code and participate in code reviews 
  • Collaborate with product managers, designers, and stakeholders to translate business requirements into technical solutions 
  • Stay current with the rapidly evolving AI/ML landscape and recommend new tools and approaches 

Required Qualifications 

  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience) 
  • 3+ years of professional software engineering experience 
  • Strong proficiency in Python and JavaScript/TypeScript 
  • Hands-on experience building front-end applications with React, Angular, or similar frameworks (HTML, CSS, modern UI patterns) 
  • Experience developing and deploying applications on Google Cloud Platform 
  • Practical experience integrating LLM APIs (OpenAI, Anthropic Claude, Google Gemini) into applications 
  • Experience with RESTful APIs, microservices, and modern software architecture 
  • Familiarity with vector databases (Pinecone, Weaviate, pgvector, or similar) and RAG architectures 
  • Solid understanding of Git, CI/CD, containerization (Docker), and agile development practices 
  • Strong problem-solving skills and ability to work independently and within a team 

Preferred Qualifications 

  • Experience with Vertex AI, LangChain, LlamaIndex, or similar AI application frameworks 
  • Experience with agentic AI workflows, function/tool calling, and multi-agent systems 
  • Knowledge of ML fundamentals: model training, fine-tuning, and evaluation (PyTorch or TensorFlow) 
  • Experience with Kubernetes (GKE) and infrastructure-as-code (Terraform) 
  • Experience with SQL/NoSQL databases and data pipelines (BigQuery, Dataflow) 
  • GCP certifications (e.g., Professional Machine Learning Engineer, Professional Cloud Developer) 
  • Experience shipping user-facing AI products from concept to production 

Company Description

Sara Software Systems, LLC founded in July 2004 is a small, woman, minority owned and economically disadvantaged 8(a) business as approved by the Small Business Administration (SBA). Owned and managed by experienced IT professionals, we bring a realistic and knowledgeable approach with 15 years of technical excellence to solve complex federal and commercial IT challenges, transform how organizations operate, and protect our Customer's critical infrastructure.
Sara Software Systems, LLC is a process-driven and quality-focused company and we are appraised at Maturity Level (ML) 3 by the CMMI Institute for both DEV + SVC. Our CMMI DEV ML3 appraisal was specifically focused on Agile and DevSecOps. We are International Standards of Organization (ISO) 9001:2015, ISO 20000-1:2011 and ISO 27001:2013-certified.

Sara Software Systems, LLC is a leading technology Services provider with focus in Application Development and Modernization, Agile Transformations, Program Management , Information Technology , Software development, Cybersecurity, IT infrastructure, Business Process Reengineering and Service Desk services for Federal Agencies and commercial organizations. We serve the business needs of our customers by providing strategy, program management, architecture, and sustainment of information technology solutions both in traditional waterfall and agile methodologies that transform ideas to value.