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Remote Ai Model Training Jobs in Oregon (NOW HIRING)

US-Remote or Marlton, NJ area Description A Software Engineer is needed to design, develop, and ... Familiarity with the AI/ML lifecycle including data preparation, model training, evaluation ...

AI Engineer

OR · On-site +1

Lead end-to-end development of AI/ML models: from data ingestion & preprocessing to model training, evaluation, deployment and monitoring. * Build generative-AI solutions (RAG, Agentic Workflows, MCP ...

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... AI systems. Your work will shape how models learn, reason, and perform through high-quality, real ...

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... AI systems. Your work will shape how models learn, reason, and perform through high-quality, real ...

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... AI systems. Your work will shape how models learn, reason, and perform through high-quality, real ...

Medical Writing Manager

Bend, OR · Remote

$50 - $80/hr

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... AI systems. Your work will shape how models learn, reason, and perform through high-quality, real ...

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... AI systems. Your work will shape how models learn, reason, and perform through high-quality, real ...

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... AI systems. Your work will shape how models learn, reason, and perform through high-quality, real ...

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Remote Ai Model Training information

What is remote AI model training?

Remote AI model training refers to the process of developing and refining artificial intelligence models from a location outside of a traditional office or lab setting, typically via cloud-based platforms. AI professionals use remote access to powerful computing resources to train machine learning models on large datasets, collaborating with teams and managing workflows online. This approach allows flexibility, access to scalable resources, and the ability to work with global teams, making it increasingly popular in the tech industry.

What skills and qualifications are needed for remote AI model training?

To thrive in Remote AI Model Training, you need a solid background in computer science, data analysis, and machine learning concepts, often supported by a relevant degree or certifications. Familiarity with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and data labeling tools is typically required. Strong attention to detail, self-motivation, and effective communication are vital soft skills for working independently and collaborating virtually. These competencies ensure accurate model development, efficient workflow, and successful teamwork in a remote environment.

What are common challenges in remote AI model training and how can they be addressed?

Professionals in remote AI model training often face challenges such as coordinating across time zones, ensuring data security, and maintaining effective communication with cross-functional teams. To address these, it's important to establish clear communication channels, leverage secure data-sharing platforms, and participate in regular virtual meetings. Additionally, setting structured working hours and documenting processes can help ensure smooth collaboration and project progress, even when team members are distributed globally.

What is the difference between Remote Ai Model Training vs Remote Data Scientist?

AspectRemote Ai Model TrainingRemote Data Scientist
Required CredentialsDegree in Computer Science, AI, or related field; experience with machine learning frameworksDegree in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentFocus on developing and training AI models, often with coding and data preprocessingData analysis, modeling, and interpretation, often involving visualization and reporting
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting

Remote Ai Model Training involves developing and refining AI models through coding and data processing, while Remote Data Scientists analyze data to generate insights and support decision-making. Both roles require strong technical skills but differ in focus and daily tasks.

What are the most commonly searched types of Ai Model Training jobs in Oregon?

The most popular types of Ai Model Training jobs in Oregon are:

What are popular job titles related to Remote Ai Model Training jobs in Oregon?

For Remote Ai Model Training jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Remote Ai Model Training jobs in Oregon look for?

The top searched job categories for Remote Ai Model Training jobs in Oregon are:

What cities in Oregon are hiring for Remote Ai Model Training jobs?

Cities in Oregon with the most Remote Ai Model Training job openings:

Infographic showing various Remote Ai Model Training job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Software Engineer (US-Remote)

OR • On-site, Remote

Gnostech LLC
51 - 200 employees

Full-time

Re-posted 15 days ago


Job description

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Software Engineer (US-Remote)
Summary
Title: Software Engineer (US-Remote) ID: 1191 Location: US-Remote or Marlton, NJ area
Description

A Software Engineer is needed to design, develop, and maintain modern software applications and services. The engineer will work within a cross-functional team to build scalable cloud-native applications, microservices, and AI-enabled systems supporting both internal and external products. The role involves collaborating with software development, cybersecurity, and test engineering teams to design, implement, document, and deploy high-quality software solutions.

Overview

Location

  • US-Remote or Marlton, NJ area

Job Title

  • Software Engineer

Salary

  • Commensurate with industry position, depending on experience

Shift

  • Typical: Monday through Friday 9am to 5pm

Travel

  • Less than 5%

Position Responsibilities

  • Design, develop, test, and deploy scalable applications, APIs, and microservices using modern software engineering practices.
  • Build and integrate AI-enabled capabilities into applications, including machine learning models, LLM integrations, and data-driven services.
  • Participate in architecture and design reviews to ensure solutions meet scalability, security, and performance requirements.
  • Develop cloud-native services and containerized applications deployed using Docker and Kubernetes.
  • Integrate AI models, data pipelines, and inference services into production systems.
  • Collaborate with cross-functional teams including DevOps, cybersecurity, QA, and product stakeholders.
  • Develop and maintain technical documentation including system architecture diagrams, API specifications, and AI model documentation.
  • Maintain code repositories using modern version control and CI/CD pipelines.
  • Apply secure coding practices and support DevSecOps workflows.
  • Utilize AI-assisted development tools (e.g., LLM coding assistants, code analysis tools) to enhance productivity and code quality.
  • Monitor and troubleshoot applications in distributed environments using logging, observability, and telemetry tools.

Minimum Security Clearance

  • Must be eligible and pass security screening to obtain DoD Top Secret

Required Qualifications and Skills

  • Strong proficiency in software design, development, and debugging.
  • Experience with modern programming languages such as Java, Python, or similar backend technologies.
  • Experience with Spring Boot, REST APIs, and microservices architectures.
  • Experience with AI/ML technologies, including machine learning frameworks (TensorFlow, PyTorch) or modern AI integration tools.
  • Experience integrating AI services, LLM APIs, or intelligent automation capabilities into applications.
  • Experience building containerized applications using Docker and Kubernetes.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with relational databases (MySQL, MariaDB, PostgreSQL).
  • Understanding of CI/CD pipelines, automated testing, and DevSecOps practices.
  • Familiarity with the AI/ML lifecycle including data preparation, model training, evaluation, deployment, and monitoring.
  • Ability to analyze problems, design solutions, and work collaboratively in a team environment.

Additional Desired Qualifications, Skills, Certifications

  • Experience working with LLM frameworks and AI SDKs (OpenAI, LangChain, HuggingFace, etc.).
  • Experience with vector databases or embeddings systems (Pinecone, Weaviate, Elasticsearch, etc.).
  • Experience implementing MLOps pipelines for model deployment and monitoring.
  • Experience with distributed systems, event streaming, or message queues (Kafka, RabbitMQ).
  • Familiarity with observability platforms (Prometheus, Grafana, ELK stack).
  • Experience with NoSQL databases (MongoDB, Cassandra).
  • Active or ability to obtain DoD Top Secret clearance.

Education and Training Required

  • Bachelor's degree (in Engineering, Computer Science, Math, or related field)

Minimum Years of Experience

  • 2+

===============================================================

Gnostech is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, or disability status. For more information, please visit www.eeoc.gov 
If this position requires a government clearance, the applicants selected will be subject to a government security investigation and must meet eligibility requirements for accessing classified information.

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