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Distance Learning Jobs in Seattle, WA (NOW HIRING)

We are seeking individuals passionate in areas such as deep learning, computer vision, optimization ... limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment ...

We are seeking individuals passionate in areas such as deep learning, computer vision, optimization ... limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment ...

By providing an all-inclusive solution in every region of the country, we reduce costs, the number of suppliers, the distance parts must travel, lead times, while maintaining the capacity to grow ...

Specialized experience in one or more of the following machine learning/deep learning domains ... limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment ...

You will lead an organization spanning hardware engineering, embodied AI and machine learning ... limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment ...

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Distance Learning information

See Seattle, WA salary details

$9

$25

$46

How much do distance learning jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for distance learning in Seattle, WA is $25.66, according to ZipRecruiter salary data. Most workers in this role earn between $18.94 and $31.59 per hour, depending on experience, location, and employer.

What is distance learning?

Distance learning is an educational approach where students and instructors are separated by physical distance and use various technologies to facilitate learning. This can include online courses, video conferencing, email, and other digital platforms. Distance learning provides flexibility, allowing students to access coursework and complete assignments from anywhere. It is widely used by educational institutions to reach learners who cannot attend traditional in-person classes. This method can be especially beneficial for working professionals, those with family obligations, or individuals living in remote areas.

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

To thrive as a Distance Learning Coordinator, you need expertise in instructional design, educational technology, and curriculum development, usually supported by a degree in education or instructional technology. Familiarity with learning management systems (LMS) like Canvas or Moodle, as well as relevant certifications such as Certified Distance Education Instructor (CDEI), is highly valuable. Strong communication, organizational, and problem-solving skills help build effective online learning environments and support both instructors and students. These abilities ensure successful program delivery, learner engagement, and smooth resolution of technical or instructional challenges.

What are some common challenges faced by distance learning instructors, and how can they be addressed?

Distance learning instructors often face challenges such as maintaining student engagement, managing diverse technology skills among learners, and ensuring effective communication. To address these, instructors can incorporate interactive multimedia content, offer regular virtual office hours, and provide clear instructions and timely feedback. Utilizing discussion boards and collaborative projects also helps foster a sense of community and supports student success in an online environment.

What is the difference between Distance Learning vs Online Tutor?

AspectDistance LearningOnline Tutor
CredentialsVaries; often requires teaching or subject-specific certificationsTypically requires subject expertise; teaching certifications are a plus
Work EnvironmentRemote, often in educational institutions or online platformsRemote, working directly with students via online tools
Industry UsageUsed by schools, universities, and training providersUsed by individual educators, tutoring companies, and online platforms
Search & Comparison IntentUnderstanding educational delivery methodsFinding personalized tutoring services

Distance Learning involves delivering education remotely through various platforms, often on a larger scale, such as universities or training programs. Online Tutors focus on providing one-on-one or small group instruction directly to students via online tools. While both roles are remote and involve education, Distance Learning encompasses broader program delivery, whereas Online Tutors offer personalized support.

Infographic showing various Distance Learning job openings in Seattle, 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 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $53,173 per year, or $25.6 per hour.

Research Scientist Intern, State Estimation for Dexterous Manipulation (PhD)

Redmond, WA • On-site

Meta
Internet and IT • 10K+ employees

Internship

Re-posted yesterday


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz


Job description

At Reality Labs Research, our goal is to explore, innovate and design novel interfaces and hardware for the next generation of virtual, augmented, and mixed reality experiences. We are driving research towards a vision of natural, seamless experiences in XR environments that are effective, enjoyable, and functionally indistinguishable from those in the real world.As a Research Scientist Intern, you will work at the intersection of representation learning, physics-based estimation, and robotic manipulation. Your primary focus will be on developing latent space representations of object physical state with learned, high-dimensional embeddings that can capture time-varying object properties during dexterous manipulation. You will design experiments to validate these representations and demonstrate their value in practical multi-sensory setup and applications.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, State Estimation for Dexterous Manipulation (PhD) Responsibilities:
  • Design and implement latent space representations for object physical state during robotics manipulation tasks that go beyond fixed parameter sets.
  • Design and execute controlled experiments to validate the representation: measuring adaptation speed, property decoding fidelity, and downstream control performance against baselines (no object state, explicit physical parameters, raw sensor history).
  • Benchmark the latent state representation on practical dexterous manipulation tasks.
  • Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
  • Showcase the value in simulated or physical demos.

Minimum Qualifications:
  • Currently has or is in the process of obtaining a Ph.D. degree in Robotics, Machine Learning, Computer Science, or relevant technical field
  • Strong background in representation learning, generative models, or neural implicit representations (e.g., Gaussian splatting, NeRF, structured latent variable models)
  • Experience with physics-based estimation, state estimation, or system identification in robotic or dynamical systems (e.g. Bayesian filtering, online adaptation, or meta-learning for system identification)
  • Experience with Python and PyTorch
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred Qualifications:
  • Experience with tactile sensing, force/torque sensors, or robot hand manipulation
  • Familiarity with model-based control (MPC), reinforcement learning, or imitation learning for manipulation
  • Experience with Bayesian filtering, online adaptation, or meta-learning for system identification
  • Experience with experimental design and statistical evaluation of robotic systems
  • Experience working and communicating cross functionally in a team environment
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as Robotics (RSS, ICRA, IROS, CoRL, T-RO, IJRR), Machine Learning (NeurIPS, ICML, ICLR, AAAI, JMLR), and Computer Vision (CVPR, ICCV, ECCV, TPAMI), or similar
  • Intent to return to the degree program after the completion of the internship/co-op

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.
$7,650/month to $12,667/month + 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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