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Weekend Remote Artificial Intelligence Jobs in Oregon

AI Engineer

OR · On-site +1

AI Engineer Remote, USA; potential for minimal ad hoc travel EMKS is seeking an AI Engineer to ... This position will lead the design, development, and implementation of Artificial Intelligence (AI ...

Flexible work location (remote or office) with approximately 25% travel . Primary Responsibilities ... Artificial Intelligence: Foth uses artificial intelligence and other technology-assisted tools in ...

Head of AI

OR · On-site +1

Position : Head of Artificial Intelligence Role Summary The Head of Artificial Intelligence ... Geography: United States and Canada (remote/hybrid depending on location) * Travel: Up to 25-40 ...

AI Engineer Temporary Assignment (through 2/13/2027) Remote, USA; potential for minimal ad hoc ... This position will lead the design, development, and implementation of Artificial Intelligence (AI ...

As such, our research spans many Artificial Intelligence and Machine Learning areas, including Large Language Models (LLMs) and other foundation models, deep learning, search and recommender systems ...

Data Analytics/Business Intelligence Job Schedule: Full time Remote: No POSITION: Data Scientist I ... POSITION SUMMARY Data Scientists are responsible for the development and maintenance of Artificial ...

Showing results 41-60

Weekend Remote Artificial Intelligence information

What is a Weekend Remote Artificial Intelligence?

A Weekend Remote Artificial Intelligence job involves working on AI-related projects or tasks from a remote location, typically during weekends. These roles may include developing machine learning models, analyzing data, building AI-powered applications, or providing support for AI systems. The flexibility allows professionals to work part-time or as a side gig, often for companies needing support outside regular weekday hours. This type of job is ideal for those with AI expertise who seek flexible schedules and remote work opportunities.

What are the key skills and qualifications needed to thrive as a Weekend Remote Artificial Intelligence specialist?

To thrive as a Weekend Remote Artificial Intelligence Specialist, you need a strong background in computer science, machine learning, and data analysis, often supported by a relevant degree or certifications. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and remote collaboration tools is typically required. Strong problem-solving abilities, time management, and effective communication are standout soft skills for this role. These competencies ensure that AI projects are developed efficiently, issues are resolved promptly, and team collaboration remains effective even in a remote, weekend-based environment.

How does working as a Weekend Remote Artificial Intelligence specialist typically differ from standard weekday AI roles?

Weekend remote AI positions often focus on maintaining and monitoring AI systems, troubleshooting urgent issues, or supporting ongoing projects outside of regular business hours. You may work more independently, but will still collaborate with team members through digital channels to ensure smooth operations. This role can offer flexibility and the chance to manage critical incidents, making it a great fit for those who prefer non-traditional schedules or seek to supplement their weekday work. Additionally, weekend remote roles can provide unique exposure to real-time problem-solving and often serve as a stepping stone to more senior AI positions.

What is the difference between Weekend Remote Artificial Intelligence vs Weekend Remote Data Science?

AspectWeekend Remote Artificial IntelligenceWeekend Remote Data Science
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with ML frameworksBachelor's or higher in CS, Statistics, or related fields; experience with data analysis tools
Work EnvironmentRemote, project-based, collaborative teamsRemote, data-focused, cross-functional teams
Industry UsageTech, healthcare, finance, researchFinance, marketing, tech, healthcare
Common Search IntentAI-specific roles, machine learning projectsData analysis, insights, predictive modeling

Weekend Remote Artificial Intelligence and Weekend Remote Data Science share similarities in remote work settings and required technical skills. However, AI roles focus more on developing algorithms and machine learning models, while Data Science emphasizes data analysis and insights. Both roles are in high demand across various industries and often overlap in skills and tools used.

What are popular job titles related to Weekend Remote Artificial Intelligence jobs in Oregon?

For Weekend Remote Artificial Intelligence jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Weekend Remote Artificial Intelligence jobs in Oregon look for?

The top searched job categories for Weekend Remote Artificial Intelligence jobs in Oregon are:

Full-time

Re-posted 12 days ago


Job description

AI Engineer
Remote, USA; potential for minimal ad hoc travel
EMKS is seeking an AI Engineer to support the Department of Veterans Affairs (VA) Office of Information Technology (OIT). This position will lead the design, development, and implementation of Artificial Intelligence (AI), Generative AI, Machine Learning (ML), and intelligent automation solutions that enhance enterprise software engineering, testing, DevSecOps, and IT operations.
The successful candidate will collaborate with cross-functional teams to identify high-value AI opportunities, develop proof-of-concepts, and deliver secure, scalable, production-ready AI solutions aligned with VA AI governance and Trustworthy AI principles.
Duties/Responsibilities:
  • Design and develop AI-powered applications using Large Language Models (LLMs), Generative AI, and Machine Learning.
  • Build AI Copilots, AI Agents, and Retrieval-Augmented Generation (RAG) solutions to improve software engineering, testing, documentation, and operational workflows.
  • Develop intelligent automation solutions for test case generation, defect analysis, knowledge management, predictive analytics, and process optimization.
  • Integrate AI capabilities into enterprise applications, APIs, Azure cloud services, and DevSecOps pipelines.
  • Evaluate emerging AI technologies and rapidly develop Proofs of Concept (PoCs).
  • Collaborate with architects, engineers, testers, and business stakeholders to identify and implement innovative AI solutions.
  • Ensure all AI solutions comply with VA cybersecurity, privacy, accessibility, and Trustworthy AI requirements.

Required Qualifications:
  • 5+ years in overall software engineering experience.
  • 2+ years of hands-on experience developing AI, Machine Learning, or Generative AI solutions.
  • Strong programming experience with Python.
  • Experience with Azure OpenAI, OpenAI APIs, or similar LLM platforms.
  • Experience with LangChain, LlamaIndex, Semantic Kernel, or comparable AI frameworks.
  • Experience building Retrieval-Augmented Generation (RAG) applications and AI Agents.
  • Experience developing REST APIs using FastAPI or similar frameworks.
  • Familiarity with Git, Azure DevOps, CI/CD, Docker, and cloud-native development.
  • Strong analytical, communication, and problem-solving skills.

Preferred Qualifications:
  • Experience supporting the U.S. Department of Veterans Affairs (VA) or other Federal agencies.
  • Experience with healthcare IT, EHRM, VistA, Oracle Health Millennium, FHIR, or HL7.
  • Experience with Azure AI Studio, Azure Machine Learning, vector databases, and prompt engineering.
  • Knowledge of NIST AI Risk Management Framework, Responsible AI, and Federal AI governance.

Education/Technical Skills:
  • Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related field.
  • Python • Azure OpenAI • OpenAI APIs • LangChain • LangGraph • LlamaIndex • Semantic Kernel • RAG • AI Agents • Machine Learning • FastAPI • Azure AI Studio • Azure DevOps • Docker • Kubernetes • SQL • Git • REST APIs • Vector Databases

Clearance:
  • S. Citizenship is requiredas is successfully passing a thorough Government background screening (Public Trust) requiring the completion of detailed forms and fingerprinting.
  • Ability to obtain and maintain necessary security clearances as required for access to classified information.

About EM Key Solutions:
Founded in 2015, EM Key Solutions, Inc. (EMKS) is a Service-Disabled Veteran-Owned Small Business (SDVOSB) offering a broad range of services to support Federal Government enterprises in meeting their mission requirements and business demands. Relationships are key to EMKS! We adopt a customer-centric approach and proven management processes for every project we undertake. Through sound leadership and management principles, EMKS focuses on offering its clients the solutions they need to be successful at the most competitive rates throughout the project management lifecycle.
If you are curious to learn more about EM Key Solutions, please visit our website at
EMKS is an Equal Opportunity Employer committed to hiring and retaining qualified and talented individuals. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.
Reasonable Accommodation Requests
EM Key Solutions is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or accommodation while seeking employment, please e-mail or call Human Resources at (727)-292-1521. We will make a determination on your request for reasonable accommodation on a case-by-case basis.
E-Verify
As a Federal Contractor, we are required to use to validate employees' ability to work legally in the United States.
EEO is the Law
The law requires EM Key Solutions to post a notice describing the Federal laws prohibiting job discrimination.
Pay Transparency Non-Discrimination
EM Key Solutions will not discharge or, in any other manner, discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay.
For information regarding your legal rights and protections, please click on the following link: