ZipRecruiter

Log In

1

Ai Model Trainer Jobs in Remote, OR (NOW HIRING)

Sara Software Systems

AI Engineer

OR · Remote

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

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 · Remote

... 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 ...

Lumen Technologies

Senior Lead Architect

OR · Remote

$132K - $176K/yr

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 ...

Lumen Technologies

Network Inventory GIS Engineer

OR · Remote

$67K - $90K/yr

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 ...

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 ...

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 JobsAi Model Trainer JobsAi Model Trainer Jobs in Remote, OR

Ai Model Trainer information

See Remote, OR salary details

$11

$25

$43

How much do ai model trainer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for ai model trainer in Remote, OR is $25.68, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $29.76 per hour, depending on experience, location, and employer.

What does an AI model trainer do?

An AI Model Trainer is responsible for developing, training, and refining artificial intelligence models using large datasets. They preprocess data, select appropriate algorithms, monitor model performance, and tune parameters to improve accuracy and efficiency. Model trainers often collaborate with data scientists, engineers, and domain experts to ensure the AI meets specific requirements and delivers reliable results. Their work is essential for creating applications like image recognition, natural language processing, and predictive analytics.

What are some typical challenges faced by AI model trainers when working with large datasets?

AI Model Trainers frequently encounter challenges such as ensuring data quality, handling imbalanced datasets, and maintaining data privacy. Working with large datasets often requires careful preprocessing and cleaning to avoid biases and inaccuracies in the model. Additionally, trainers must collaborate closely with data engineers, domain experts, and software developers to validate data sources and to fine-tune models for optimal performance. Addressing these challenges is critical for producing reliable, high-performing AI systems.

What are the key skills and qualifications needed to thrive as an AI model trainer, and why are they important?

To thrive as an AI Model Trainer, you need strong expertise in machine learning, data analysis, and a background in computer science or a related field, often supported by an advanced degree. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with data labeling and annotation tools are essential. Attention to detail, critical thinking, and effective communication help in accurately training and refining AI models while collaborating with diverse teams. These skills ensure that AI systems are trained accurately and efficiently, leading to reliable and ethical AI solutions.

What is the difference between Ai Model Trainer vs Data Scientist?

AspectAi Model TrainerData Scientist
Required CredentialsBachelor's in CS, ML, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; advanced analytics skills
Work EnvironmentHands-on model training, data preprocessing, tuningData analysis, modeling, visualization, reporting
Employer & Industry UsageTech companies, AI startups, research labsTech, finance, healthcare, consulting firms
Search & Comparison IntentUnderstanding roles in AI developmentAnalyzing data to inform decisions

While both roles involve working with data and machine learning, an Ai Model Trainer primarily focuses on training and fine-tuning AI models, whereas a Data Scientist emphasizes analyzing data, building models, and deriving insights. The roles often overlap but serve different stages of AI and data projects.

What are popular job titles related to Ai Model Trainer jobs in Remote, OR?

For Ai Model Trainer jobs in Remote, OR, the most frequently searched job titles are:

What job categories do people searching Ai Model Trainer jobs in Remote, OR look for?

The top searched job categories for Ai Model Trainer jobs in Remote, OR are:

What cities near Remote, OR are hiring for Ai Model Trainer jobs?

Cities near Remote, OR with the most Ai Model Trainer job openings:

Ai Model Trainer jobs near you
Infographic showing various Ai Model Trainer job openings in Remote, OR as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $53,415 per year, or $25.7 per hour.

AI Engineer

Sara Software Systems

OR • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

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.