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Remote Elearning Testing Jobs in Tacoma, WA (NOW HIRING)

micro1 AI

Cheminformatics Specialist - Remote

Tacoma, WA · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure ...

micro1 AI

Cheminformatics Specialist - Remote

Seattle, WA · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure ...

micro1 AI

Cheminformatics Specialist - Remote

Renton, WA · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure ...

micro1 AI

Cheminformatics Specialist - Remote

Kent, WA · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure ...

Artemis Connection

Psychometrician (Remote)

Seattle, WA · Remote

$90K - $120K/yr

... and learning/behavioral objectives * Conduct item analysis, reliability testing, and validity ... Ensure assessments comply with relevant professional standards (e.g., APA/AERA/NCME Standards for ...

YO AI Labs

Medical Coder - Remote

Seattle, WA · Remote

$50 - $80/hr

Apply Evaluation & Management (E&M) guidelines to assess coding levels and validate healthcare ... Commitment to accuracy, quality, and continuous learning in healthcare coding and technology

YO AI Labs

Medical Coder - Remote

Seattle, WA · Remote

$50 - $80/hr

Apply Evaluation & Management (E&M) guidelines to assess coding levels and validate healthcare ... Commitment to accuracy, quality, and continuous learning in healthcare coding and technology

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All JobsElearning Testing JobsRemote Elearning Testing JobsRemote Elearning Testing Jobs in Tacoma, WA

Remote Elearning Testing information

What is remote eLearning testing?

Remote eLearning testing is the process of evaluating online educational platforms, courses, or tools from a distance, often using digital devices and internet connectivity. Testers check that eLearning content works correctly, is accessible to users, and meets quality standards across different devices and browsers. This role may involve both manual testing—where testers interact with the system as end-users—and automated testing using specialized software tools. The goal is to ensure a seamless and effective learning experience for all users, regardless of their location.

What are the key skills and qualifications needed to thrive as a remote eLearning tester?

To thrive as a Remote E-learning Tester, you need a strong understanding of quality assurance processes, attention to detail, and familiarity with e-learning standards, often supported by a background in instructional design or software testing. Proficiency with learning management systems (LMS), test case management tools, and bug tracking software is typically required. Excellent communication, problem-solving ability, and self-motivation are important soft skills for effective remote collaboration and issue reporting. These skills ensure that e-learning content is functional, user-friendly, and meets both educational and technical standards.

What are some common challenges faced by professionals in remote eLearning testing and how can they be addressed?

Remote eLearning testers often encounter challenges such as coordinating with distributed development teams, managing varying time zones, and ensuring consistent test environments. Communication can be more complex when working remotely, making it important to use clear documentation and regular virtual meetings. Staying up-to-date with multiple eLearning platforms and standards also requires continuous learning. Leveraging collaboration tools, maintaining organized records, and proactively reaching out for clarifications can help testers succeed in this environment.

What is the difference between Remote Elearning Testing vs Remote Content Developer?

AspectRemote Elearning TestingRemote Content Developer
Required CredentialsInstructional design, testing certificationsContent creation, instructional design
Work EnvironmentOnline, testing platforms, LMSOnline, content management systems
Industry UsageEducation, corporate training, e-learningEducation, marketing, corporate training
Common Search/ComparisonYesNo

Remote Elearning Testing focuses on evaluating and ensuring the quality of e-learning courses, often involving testing platforms and LMS systems. Remote Content Developers create and design educational content for online platforms. While both roles work within the e-learning industry, they serve different functions: testing versus content creation.

What are popular job titles related to Remote Elearning Testing jobs in Tacoma, WA?

For Remote Elearning Testing jobs in Tacoma, WA, the most frequently searched job titles are:

What job categories do people searching Remote Elearning Testing jobs in Tacoma, WA look for?

The top searched job categories for Remote Elearning Testing jobs in Tacoma, WA are:

Remote Elearning Testing jobs near you
Infographic showing various Remote Elearning Testing job openings in Tacoma, WA as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% Remote job distribution.

Software Engineer, Machine Learning RecSys

Meta

Bellevue, WA • On-site, Remote

$154K/yr

Full-time

Re-posted 23 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 talented Machine Learning engineers to join our teams in building cutting-edge products, with the mission of connecting billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team and working on exciting projects that have a significant impact, we encourage you to apply.
Software Engineer, Machine Learning RecSys Responsibilities:
  • Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences.
  • Implement custom user interfaces using latest programming techniques and technologies.
  • Develop reusable software components for interfacing with back-end platforms.
  • Analyze and optimize code for quality, efficiency, and performance.
  • Lead complex technical or product efforts and provide technical guidance to peers.
  • Architect efficient and scalable systems that drive complex applications.
  • Identify and resolve performance and scalability issues.
  • Work on a variety of coding languages and technologies.
  • Establish ownership of components, features, or systems with expert end-to-end understanding.

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 2+ years of programming experience in a relevant programming language
  • 1+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, llms or artificial intelligence
  • Experience with scripting languages such as Python, Javascript or Hack
  • Experience with developing machine learning models at scale from inception to business impact
  • Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
  • Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
  • Proven experience designing, building, or deploying recommendation systems (e.g., collaborative filtering, content-based, hybrid approaches, personalization at scale)
  • Experience building and shipping high quality work and achieving high reliability
  • Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes

Preferred Qualifications:
  • Masters degree or PhD in Computer Science or another ML-related field
  • Exposure to architectural patterns of large scale software applications
  • Experience with scripting languages such as Pytorch and TensorFlow
  • Publications in top-tier conferences/journals, patents, or open-source contributions in the recommendations or LLM space
  • Hands-on experience working with large language models (LLMs), such as BERT, GPT, or similar architectures, including fine-tuning, integration, or application in production environments
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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.
$154,003/year to $217,000/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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