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Distance Learning Coordinator Jobs in Redmond, WA

ScionHealth

Registered Nurse Full Time Days

Seattle, WA · On-site

... distance. Job Summary Provides planning and delivery of direct and indirect patient care through ... Develops nursing care plans in coordination with patient, family and interdisciplinary staff as ...

ScionHealth

Registered Nurse Full Time Days

Seattle, WA · On-site

... distance. Job Summary Provides planning and delivery of direct and indirect patient care through ... Develops nursing care plans in coordination with patient, family and interdisciplinary staff as ...

AeroTEC

PROGRAM ANALYST I

Seattle, WA · On-site

$72 - $92/hr

Program Coordination: * Assist in the planning, execution, and monitoring of various programs and ... Specific vision abilities required by this job include close vision, distance vision, color vision ...

AeroTEC Inc.

PROGRAM ANALYST I

Seattle, WA · Hybrid

Program Coordination: * Assist in the planning, execution, and monitoring of various programs and ... Specific vision abilities required by this job include close vision, distance vision, color vision ...

CCSWW

Compliance Specialist II

Seattle, WA

$29.18 - $32.46/hr

Overview Coordinated Care Agency (CCA) , a dba of the Archdiocesan Housing Authority, offers ... Specific vision abilities required by the job include close vision, distance vision, color vision ...

CCSWW

Compliance Specialist II

Seattle, WA · On-site

$29.18/hr

Coordinated Care Agency (CCA) , a dba of the Archdiocesan Housing Authority, offers comprehensive ... Specific vision abilities required by the job include close vision, distance vision, color vision ...

CCSWW

Contracts & Compliance Specialist

Seattle, WA · On-site

$29.18 - $32.46/hr

Overview Coordinated Care Agency (CCA) , a dba of the Archdiocesan Housing Authority, offers ... Interested in learning about the administrative duties and contractual obligations of a large ...

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Distance Learning Coordinator information

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$5

$17

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How much do distance learning coordinator jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for distance learning coordinator in Redmond, WA is $17.50, according to ZipRecruiter salary data. Most workers in this role earn between $16.97 and $18.03 per hour, depending on experience, location, and employer.

What does a distance learning coordinator do?

The job duties of a distance learning coordinator include coordinating online courses, assessing curriculum and materials, and ensuring that the distance learning services meet standards and regulations. Your responsibilities in this career also involve working with students and faculty to improve distance learning services. You ensure the ongoing functionality of online classrooms and learning portals, facilitate training on the technical aspects of online instruction, and schedule assessments by relevant education regulatory bodies. As a distance learning coordinator, you may work on marketing your school or educational services to potential students as well.

What are the key skills and qualifications needed to thrive as a distance learning coordinator?

To thrive as a Distance Learning Coordinator, you need expertise in instructional design, online education best practices, and a relevant degree such as education or instructional technology. Familiarity with learning management systems (LMS) like Canvas or Blackboard, virtual meeting platforms, and certifications in e-learning are typically required. Strong organizational, communication, and problem-solving skills help you effectively support students and faculty remotely. These skills and qualifications are crucial for ensuring high-quality, accessible, and effective online learning experiences.

How does a distance learning coordinator typically collaborate with faculty and IT teams to enhance online course delivery?

A Distance Learning Coordinator frequently acts as a bridge between faculty members and IT professionals to ensure a seamless online learning experience. They assist faculty with integrating digital tools, troubleshoot technical issues, and provide training on learning management systems. Regular meetings and workshops are common to address course delivery challenges and implement new technologies, fostering continuous improvement and collaboration across departments. This teamwork is crucial for maintaining high-quality, accessible online education.

What is the difference between Distance Learning Coordinator vs Instructional Designer?

AspectDistance Learning CoordinatorInstructional Designer
Required CredentialsBachelor's degree in education, instructional technology, or related field; certifications in e-learning preferredBachelor's or master's in education, instructional design, or related field; certifications like CPT or ATD beneficial
Work EnvironmentEducational institutions, online course providers, corporate trainingEducational institutions, corporate training, e-learning companies
Employer & Industry UsageUsed in schools, universities, online education platformsCommon in corporate, higher education, and e-learning sectors

While both roles involve online education, a Distance Learning Coordinator manages the logistics and delivery of online courses, ensuring smooth operation. An Instructional Designer focuses on creating engaging and effective learning materials and course content. The coordinator handles the technical and administrative aspects, whereas the designer develops the educational content itself.

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Distance Learning Coordinator jobs near you
Infographic showing various Distance Learning Coordinator job openings in Redmond, WA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $36,398 per year, or $17.5 per hour.

Software Engineer, Core Machine Learning

Meta

Bellevue, WA • On-site, Remote

$183K/yr

Full-time

Posted 27 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 245 rated software companies

Job description

Meta is seeking a Staff Software Engineer to join the Core Machine Learning team, focused on building and scaling the foundational ML infrastructure and systems that power Meta's family of products. In this role, you will architect and deliver high-impact ML platform capabilities — spanning training infrastructure, model serving, feature engineering pipelines, and AI-accelerated developer tooling — that enable thousands of engineers and researchers across Meta to build and ship state-of-the-art machine learning models at scale.
Software Engineer, Core Machine Learning Responsibilities:
  • Architect and own large-scale ML infrastructure systems, including distributed training frameworks, model serving platforms, and feature computation pipelines that support production workloads across Meta's product surface
  • Lead the technical design and implementation of foundational ML platform components, evaluating trade-offs across performance, reliability, and developer experience
  • Drive end-to-end delivery of major ML infrastructure initiatives, coordinating across teams and disciplines to align on priorities, manage dependencies, and execute phased rollouts
  • Identify and resolve performance bottlenecks in ML training and inference systems through instrumentation, profiling, and targeted optimization
  • Define and enforce service level objectives for core ML platform services, building dashboards, alerting systems, and runbooks to reduce mean time to mitigation during incidents
  • Establish and advocate for engineering best practices in ML systems development, including testing strategies, safe rollout patterns, and AI-accelerated development workflows
  • Collaborate with research, product engineering, and infrastructure teams as a credible technical co-owner, independently driving design reviews, data analyses, and architectural decisions
  • Mentor other engineers on ML systems design, debugging complex distributed system issues, and applying AI tools to accelerate development velocity
  • Contribute to the team's technical roadmap by identifying opportunities to improve ML platform capabilities and obtaining buy-in from key stakeholders across the organization

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 8+ years of experience in software engineering with a focus on machine learning systems, ML infrastructure, or large-scale distributed systems
  • Experience designing and implementing production ML systems such as distributed training frameworks, model serving infrastructure, or large-scale feature engineering pipelines
  • Experience leading major technical initiatives from design through production, including cross-team coordination and phased rollout management
  • Experience with performance analysis and optimization of ML training or inference workloads, including profiling, instrumentation, and bottleneck resolution
  • Experience communicating technical decisions and trade-offs in writing to both engineering and non-engineering stakeholders through design documents, architectural proposals, or postmortems

Preferred Qualifications:
  • Experience defining and operating ML platform reliability programs, including resiliency testing, SLO frameworks, and incident retrospective processes
  • Experience building or contributing to open-source ML frameworks or platform tooling such as PyTorch, TensorFlow, Ray, or similar systems
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience applying AI-assisted development tools to accelerate engineering workflows, including code generation, automated testing, or intelligent debugging
  • Experience with hardware-software co-design for ML workloads, including quantization, model compression, or resource-efficient AI techniques
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$183,997/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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