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Remote Computer Science Artificial Intelligence Jobs in Oregon

... artificial intelligence, data analytics, cloud enablement, modeling, and simulation, and more. DLH ... S. degree in computer science, health sciences, or other related field; five or more years of ...

New

AI Technology Lead

OR · On-site +1

$202K - $225K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related ... Employee Discount Program Elite may use technology, including artificial intelligence-enabled tools ...

Senior Product Manager, AI Innovations - Agent Assist

OR · On-site +1

$126K - $166K/yr

... applied artificial intelligence. Key Responsibilities * Strategy & Product Lifecycle Management ... Education: Bachelor's degree in computer science, engineering, or related field; MBA is a plus.

Senior Agentic AI Software Engineer

OR · On-site +1

$122K - $161K/yr

United States - Remote Clearance: Ability to obtain and maintain a Public Trust LTS is seeking a ... Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Engineering ...

Lead AI/ML Engineer

OR · On-site +1

$180K - $230K/yr

... edge artificial intelligence and machine learning solutions supporting high-impact federal ... Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Information Systems ...

New

... Computer Science careers. Meet the team and join upcoming virtual webinars via zoom; dates and ... View our Privacy & SMS Policy: -policy/ We may use artificial intelligence (AI) tools to support ...

This unique role blends expertise in bioinformatics, artificial intelligence (AI), machine learning ... Work closely with other departments such as R&D, Data Science, Business Development, Medical ...

United States - Remote Clearance: Ability to obtain and maintain a Public Trust LTS is seeking a ... Bachelor's degree in Computer Science, Cybersecurity, Artificial Intelligence, Software Engineering ...

(Canada) Principal ML System Engineer

OR · On-site +1

$176K - $195K/yr

Bachelor's degree or higher in Computer Science, Machine Learning, or a related field. * Sufficient ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Robotics Tutor

Eugene, OR · Remote

$18 - $40/hr

Emphasizes iterative design and engineering problem-solving and connects robotics to mechanical engineering, computer science, and artificial intelligence applications. * Curriculum Awareness ...

Robotics Tutor

OR · Remote

$18 - $40/hr

Emphasizes iterative design and engineering problem-solving and connects robotics to mechanical engineering, computer science, and artificial intelligence applications. * Curriculum Awareness ...

Showing results 41-60

Remote Computer Science Artificial Intelligence information

What is a remote computer science artificial intelligence professional?

Remote Computer Science Artificial Intelligence (AI) jobs involve working from a location outside of a traditional office to design, develop, and implement AI systems and algorithms. Professionals in this field use programming, data analysis, and machine learning techniques to solve complex problems in areas such as natural language processing, computer vision, and robotics. These roles often require strong knowledge of mathematics, statistics, and programming languages like Python or Java. Remote AI jobs offer flexibility and the opportunity to collaborate with global teams using digital communication tools.

How do remote computer science artificial intelligence professionals typically collaborate with team members across different time zones?

Remote AI professionals often work with global teams, requiring strong communication and collaboration skills. Teams frequently use project management tools, shared code repositories, and regular video meetings to stay aligned on goals and progress. Flexibility with meeting times and thorough documentation are essential for ensuring smooth collaboration. Building rapport through virtual channels and actively participating in discussions helps foster a sense of teamwork despite physical distance.

What are the key skills and qualifications needed to thrive as a remote computer science artificial intelligence professional, and why are they important?

To thrive as a Remote Computer Science Artificial Intelligence professional, you need a strong background in computer science fundamentals, mathematics, machine learning, and programming languages such as Python, often supported by a relevant degree. Familiarity with AI frameworks (like TensorFlow or PyTorch), cloud platforms, and version control systems is typically required, along with certifications in AI or data science. Excellent problem-solving, self-motivation, and effective remote communication skills help you stand out in distributed teams. These skills and qualities are crucial for developing robust AI solutions, collaborating virtually, and adapting to fast-evolving technologies.

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

AspectRemote Computer Science Artificial IntelligenceRemote Data Science
Required CredentialsBachelor's or higher in Computer Science, AI certificationsBachelor's or higher in Data Science, Statistics, or related fields
Work EnvironmentSoftware development, AI model training, algorithm designData analysis, visualization, statistical modeling
Employer & Industry UsageTech companies, research labs, AI startupsFinance, healthcare, e-commerce, tech firms
Common Search & ComparisonYesNo

Remote Computer Science Artificial Intelligence roles focus on developing AI algorithms, machine learning models, and software solutions. In contrast, Remote Data Science involves analyzing data, creating visualizations, and deriving insights. While both fields require strong technical skills and often similar educational backgrounds, their core responsibilities differ, making each suitable for different career interests within the tech industry.

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

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

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

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

Infographic showing various Remote Computer Science Artificial Intelligence job openings in Oregon as of August 2026, with employment types broken down into 43% Full Time, and 57% Contract. Highlights an 100% Remote job distribution.

Director - Enterprise Data

Consumer Direct Care Network

OR • On-site, Remote

Full-time

Posted 18 days ago


Consumer Direct Care Network rating

5.3

Company rating: 5.3 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

192nd of 242 rated social care providers


Job description

Description & Requirements
Culture Vision at Consumer Direct Care Network

At CDCN, we strive to create aworkplace where everyone issupported and motivated to betheir best; we collaborate onshared goals and celebrate ouraccomplishments.

WE WELCOME YOU INTO A GROWING COMPANY

Consumer Direct Care Network is all about caring for people. Care is at our core, and we strive to live up to it every day. We provide services in 14 states across the USA, and our programs grow every year. We specialize in home and community-based services that support individuals with disabilities and older adults so they can remain in their homes and communities.

JOB SUMMARY
The Director Enterprise Data is responsible for leading the strategy, management, and utilization of enterprise data across the organization. This position ensures that data is accurately collected, governed, and analyzed to drive business insights and decisions. The Director Enterprise Data will work closely with senior leadership, IT teams, data analysts, and business units to ensure the effective use of data to meet organizational goals.

JOB DUTIES
Data Strategy & Governance
  • Develop and implement a comprehensive data strategy that aligns with the organization's overall business goals and objectives
  • Ensure data governance policies and best practices are followed to ensure accuracy, consistency, privacy, and security of data across the enterprise
  • Lead the development and implementation of data management processes, standards, and procedures
  • Oversee data privacy and compliance initiatives to meet legal and regulatory requirements such as GDPR, CCPA, etc.
Data Architecture & Infrastructure
  • Lead the design and implementation of data architecture and infrastructure to support the organization's data needs
  • Work with IT and engineering teams to ensure the scalability and performance of data systems such as data lakes, data warehouses and cloud storage
  • Ensure data is stored in an efficient secure and easily accessible manner enabling seamless data integration and retrieval
Data Analytics & Insights
  • Drive the development and execution of data analytics initiatives to generate actionable insights that support decision-making across the organization
  • Collaborate with business leaders to identify key performance indicators (KPIs) and ensure data analytics efforts support organizational performance
  • Oversee the creation of dashboards reports and data visualizations to communicate data-driven insights to stakeholders
Team Leadership & Collaboration
  • Lead and mentor a team of data professionals including data engineers, analysts, and scientists
  • Foster collaboration across various business units to ensure that data needs are identified and met
  • Work closely with product marketing, finance and operations teams to ensure alignment on data initiatives and projects
Data Quality & Performance Management
  • Establish and monitor key metrics to measure data quality, integrity and performance
  • Implement data quality checks and audits to maintain high standards and troubleshoot any issues that arise
  • Promote a culture of data-driven decision-making across the organization
Vendor & Stakeholder Management
  • Manage relationships with third-party vendors, including software providers consultants and cloud service providers
  • Communicate the value of enterprise data initiatives to stakeholders at all levels, including executive leadership and nontechnical staff
Innovation & Continuous Improvement
  • Stay current with industry trends, new technologies and innovations in data management and analytics
  • Identify opportunities to improve existing processes and systems and lead initiatives to enhance data capabilities
 
QUALIFICATIONS
  • Bachelor's degree in Computer Science Information Systems, Data Science, Business Analytics, or a related field; master's degree preferred
  • 10+ years of experience in data management, analytics. or business intelligence roles with 5+ years in a leadership capacity
  • Strong knowledge of data governance, data management, and analytics frameworks
  • Experience with modern data architectures such as cloud, data lakes, and data warehouses
  • Familiarity with data analytics tools and platforms such as Tableau, Power BI, SQL, Hadoop, AWS, and Azure
  • Excellent leadership and communication skills with the ability to collaborate with cross-functional teams and communicate complex data concepts to non-technical stakeholders
  • Experience with data privacy, security regulations, and compliance
  • Proven track record of managing and mentoring high-performing teams
  • Employees must provide their own reliable internet if working a remote/hybrid position
  • Ability to work flexible and/or extended hours, if needed, to meet the job requirements
 
Preferred Skills:
  • Experience with machine learning, artificial intelligence, or predictive analytics
  • Experience in managing large-scale enterprise data transformation initiatives
  • Strong business acumen with the ability to link data strategies to business outcomes

The incumbent typically works in an office environment and uses a computer telephone and other office equipment as needed to perform duties. The noise level in the work environment is typical of that of an office. Incumbent may encounter frequent interruptions throughout the workday. The employee is regularly required to sit talk or hear frequently required to use repetitive hand motion handle or feel and to stand walk reach bend or lift up to 20 pounds. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

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