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Remote E Learning Content Developer Jobs in California

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Product Content Engineer

Menlo Park, CA · On-site +1

$162K/yr

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

twg

E-Retail Content Analyst

Livermore, CA · On-site +1

$72K - $98K/yr

The E-Retail Content Analyst reports to the Director of eCommerce. We're looking for a passionate ... This role is eligible for remote work and travel as needed. ESSENTIAL FUNCTIONS * Manage product ...

HMC Architects

BIM Manager

San Jose, CA · On-site +1

$94K - $136K/yr

LinkedIn learning access, business development training, supportive mentorship, company-paid ARE ... This position is eligible for hybrid (office/remote) working arrangement and flexible working hours.

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Remote E Learning Content Developer information

What are some common challenges faced by Remote E-Learning Content Developers, and how can they be addressed?

Remote E-Learning Content Developers often encounter challenges such as maintaining effective communication with subject matter experts, staying updated on evolving e-learning technologies, and managing time across multiple projects without on-site supervision. To address these, it’s important to establish regular virtual check-ins, utilize collaborative tools for version control and feedback, and set clear timelines with project stakeholders. Engaging in continuous professional development and participating in online communities can also help keep skills current and foster a sense of connection despite working remotely.

What is a Remote E-Learning Content Developer?

A Remote E-Learning Content Developer is a professional who designs, creates, and manages educational content for online learning platforms while working from a remote location. Their role typically involves collaborating with subject matter experts, using authoring tools to develop interactive lessons, and ensuring that materials are engaging and accessible to a wide audience. They may also be responsible for updating and maintaining course content and assessing its effectiveness. This position is essential for organizations looking to deliver quality training or education via digital platforms.

What are the key skills and qualifications needed to thrive as a Remote E Learning Content Developer, and why are they important?

To excel as a Remote E Learning Content Developer, you need a solid background in instructional design, curriculum development, and expertise in digital learning methodologies, often supported by a degree in education or instructional technology. Familiarity with authoring tools such as Articulate Storyline, Adobe Captivate, and Learning Management Systems (LMS) is typically required. Strong communication, creativity, and self-motivation are crucial soft skills for collaborating remotely and producing engaging content. These skills ensure the delivery of effective, interactive learning experiences that meet organizational and learner needs in a virtual environment.

What is the difference between Remote E Learning Content Developer vs Remote Instructional Designer?

AspectRemote E Learning Content DeveloperRemote Instructional Designer
CredentialsBachelor's in Education, Instructional Design, or related field; certifications like CPLP or ATDBachelor's or Master's in Education, Instructional Design, or related field; similar certifications
Work EnvironmentCreates digital learning content, often independently or in teams, for online platformsDesigns overall learning experiences, including curriculum and assessments, often collaborating with subject matter experts
Employer & Industry UsageUsed by e-learning companies, educational institutions, corporate training providersCommon in educational institutions, corporate training, e-learning companies

While both roles involve online education, Remote E Learning Content Developers focus on creating digital learning materials, whereas Remote Instructional Designers develop comprehensive learning strategies and curricula. Both require similar credentials and often work in the same industries, but their core responsibilities differ.

What are the most commonly searched types of E Learning Content Developer jobs in California? The most popular types of E Learning Content Developer jobs in California are:
What are popular job titles related to Remote E Learning Content Developer jobs in California? For Remote E Learning Content Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote E Learning Content Developer jobs in California look for? The top searched job categories for Remote E Learning Content Developer jobs in California are:
What cities in California are hiring for Remote E Learning Content Developer jobs? Cities in California with the most Remote E Learning Content Developer job openings:
Remote E Learning Content Developer jobs near you
Product Content Engineer

Product Content Engineer

Instagram

Menlo Park, CA • On-site, Remote

$162K/yr

Full-time

Posted 23 days ago

Job description

Product Content Engineering is a horizontal function supporting initiatives across Meta's family of apps. We partner closely with product and technical teams to solve problems by providing content-centered solutions, setting standards of quality, and building the frameworks that ensure AI-powered experiences actually work for people. We're looking for a Content Engineer to join our AI Discovery team and help define how Meta evaluates and improves AI content experiences. You'll work at the intersection of content quality, AI evaluation, and the search and recommendation systems that power Meta's products: building the frameworks, rubrics, and pipelines that hold AI outputs to a high standard. You'll assess model behavior, identify where it falls short, and work cross-functionally with engineering, product, research, and data science teams to make it better.If you're energized by the opportunity to build better AI product experiences through rigorous evaluation, have experience navigating ambiguity by defining structure, prioritizing work, and driving clarity in evolving problem spaces, and apply sound editorial and analytical judgment to content quality decisions, we encourage you to apply.
Product Content Engineer Responsibilities:
  • Define content quality standards and use them to systematically evaluate how AI models are performing across our products and content experiences
  • Design golden sets, taxonomies, and guidelines that enable consistent, repeatable content quality assessments
  • Build repeatable workflows for collecting, annotating, and analyzing AI outputs so evaluations can run efficiently as models evolve
  • Evaluate successive model releases through structured comparison, documenting what improved, what regressed, and what to prioritize next
  • Design evaluation frameworks that integrate qualitative and quantitative signals to measure dimensions like user trust, content depth, and topical relevance
  • Develop processes to track content quality and model performance over time and flag regressions
  • Synthesize evaluation results into structured error patterns and concrete recommendations that engineering and product teams can act on
  • Work cross-functionally with engineers, data scientists, product managers, and content strategists to align AI behaviors with real-world user expectations

Minimum Qualifications:
  • 5+ years of experience working collaboratively with product, engineering, design, and user research teams
  • 1+ years working with generative AI products, AI evaluation, prompt engineering, annotation, and/or content labeling and analysis
  • Experience designing and implementing evaluation frameworks, annotation guidelines, or quality rubrics for AI/ML systems
  • Demonstrated data analysis skills, with experience exploring data, identifying patterns, and producing actionable insights
  • Experience building new products or platform/ecosystem products
  • Critical thinking, experience leading data-driven analyses to inform product or content decisions, and experience communicating to executive leadership
  • Proven track record of cross-functional collaboration and delivering results in environments with evolving requirements and competing priorities

Preferred Qualifications:
  • Background in content strategy, information quality, or trust and safety
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Familiarity with AI evaluation methods such as human eval, model-as-judge, A/B testing, or red-teaming
  • Experience building dashboards, scripts, or workflows that codify evaluation metrics
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience with Python, SQL, or other tools for data analysis and evaluation automation
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • BA or BS in Computer Science, Data Science, Linguistics, or related field

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.
$162,000/year to $227,000/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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