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E Learning Animation Jobs in California (NOW HIRING)

Passion For Life

Create multimedia elements, including graphics, animations, audio, and video, to enhance the ... Ensure all eLearning materials comply with accessibility standards and best practices. * Conduct ...

Passion For Life

Create multimedia elements, including graphics, animations, audio, and video, to enhance the ... Ensure all eLearning materials comply with accessibility standards and best practices. * Conduct ...

Anduril Industries

Instructional Designer

Costa Mesa, CA

$69K - $94K/yr

Design, develop, and publish interactive eLearning modules using Articulate Storyline, ensuring compatibility with LMS platforms and SCORM/xAPI standards. * Create high-quality graphics, animations ...

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E Learning Animation information

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$10

$38

$69

How much do e learning animation jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for e learning animation in California is $38.89, according to ZipRecruiter salary data. Most workers in this role earn between $21.59 and $63.12 per hour, depending on experience, location, and employer.

How much does a digital animator make?

Digital animators typically earn between $50,000 and $80,000 annually, depending on experience, location, and skill level. Entry-level positions may start lower, while experienced professionals with advanced skills in software like Adobe After Effects or Maya can earn higher salaries.

What does a typical day look like for someone working in E Learning Animation?

A typical day for an E Learning Animation professional often involves collaborating with instructional designers and subject matter experts to storyboard and conceptualize educational content. You will work on creating and editing animated elements, integrating graphics, text, and interactive features into e-learning modules using specialized software. Regular feedback sessions and revisions are common, ensuring that the animations align closely with learning objectives and brand guidelines. Teamwork and ongoing communication are key, as you'll need to balance creative input with technical and pedagogical requirements to deliver high-quality digital learning experiences.

What are the key skills and qualifications needed to thrive in the E Learning Animation position, and why are they important?

Success in E Learning Animation requires strong graphic design and animation skills, proficiency in e-learning authoring tools, and a good understanding of instructional design principles, often supported by a degree in multimedia, animation, or a related field. Familiarity with software such as Adobe After Effects, Articulate Storyline, Adobe Captivate, and occasionally Learning Management Systems (LMS) is typically expected. Outstanding collaboration, attention to detail, and creativity in translating complex material into engaging visual content are valuable soft skills in this role. These competencies ensure the creation of effective, visually appealing animations that support learner engagement and knowledge retention.

Are animators in demand right now?

Animators, including those specializing in e-learning animation, are experiencing steady demand due to the growth of online education and digital content. Skills in software like Adobe Animate, After Effects, and 3D modeling increase employability, with opportunities available in educational, corporate, and entertainment sectors.

How to get an animation job with no experience?

To get an animation job with no experience, build a strong portfolio showcasing personal or school projects, learn industry-standard tools like Adobe Animate or Blender, and consider completing online courses or certifications to demonstrate your skills. Internships or freelance work can also provide practical experience and help you network within the industry.

Is AI taking animators jobs?

AI is increasingly used in e-learning animation to automate repetitive tasks and assist with content creation, but it generally complements rather than replaces human animators. Skilled animators who adapt by learning new tools and techniques can continue to find employment, as AI tools require human oversight and creative input to produce high-quality educational content.

What is an E Learning Animation job?

An E Learning Animation job involves creating animated content for educational purposes, such as explainer videos, interactive lessons, and training modules. Professionals in this role use animation software to visualize complex concepts, making learning more engaging and accessible. They may work with instructional designers, educators, and subject matter experts to develop content that enhances comprehension and retention. This role requires creativity, technical animation skills, and an understanding of educational principles.

What are the most commonly searched types of E Learning Animation jobs in California? The most popular types of E Learning Animation jobs in California are:
What are popular job titles related to E Learning Animation jobs in California? For E Learning Animation jobs in California, the most frequently searched job titles are:
What job categories do people searching E Learning Animation jobs in California look for? The top searched job categories for E Learning Animation jobs in California are:
E Learning Animation jobs near you
Infographic showing various E Learning Animation job openings in California as of June 2026, with employment types broken down into 67% Full Time, 13% Part Time, 13% Temporary, and 7% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $80,900 per year, or $38.9 per hour.
Senior Machine Learning Engineer, Animation Integration

Senior Machine Learning Engineer, Animation Integration

Genies, Inc.

San Francisco, CA • On-site

$180K - $270K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 3 days ago

Job description

Genies is an AI avatar technology company powering the visual and embodiment layer for AI. Through the Genies SDK, their proprietary avatar framework brings AI to life as fully realized AI personas that look, think, behave, and play like living identities. Genies powers AI companion, NPC, and agent use cases across enterprise, consumer, creator, entertainment, and gaming. Genies has raised $200M from Silver Lake, BOND, and Bob Iger. Genies is built on the belief that every website, app, game, brand, and human will have an AI persona.
Genies is looking for a Senior Machine Learning Engineer to join our Avatar Technology team, focused on building the next generation of AI-driven animation systems. This role is focused on integrating machine learning systems into production animation pipelines and realtime environments, while also owning the applied ML work required to make these systems effective in practice. You will work across data, modeling, and runtime systems to ensure ML-driven animation performs reliably and at high quality in production.
What You'll Be Doing:
  • Integrate machine learning models into realtime animation systems across mobile and web environments.
  • Develop systems that translate inputs such as audio, text, and intent into responsive avatar motion in production.
  • Work with generative models (e.g., diffusion, transformer-based systems) and adapt them for specific use cases such as facial animation, gesture generation, and character behavior.
  • Collect, process, and manage animation datasets (mocap, facial capture, simulation data) for training, fine-tuning, and evaluation.
  • Build data pipelines for extraction, preprocessing, and validation of motion data.
  • Fine-tune and adapt existing models to improve quality, stability, and performance in production environments.
  • Collaborate with Behavior and LLM teams to integrate predictive motion systems into state machines and character logic.
  • Design and build tools and workflows that enable Technical Artists to work effectively with ML-driven animation systems.
  • Develop pipelines that connect DCC tools (Maya, Blender) with ML systems and runtime engines.
  • Debug, profile, and optimize runtime performance across CPU, GPU, and memory constraints.
  • Develop automation and validation systems to support asset quality and iteration speed.

What You Should Have:
  • 7+ years of experience in machine learning, animation systems, or related technical roles in games, VFX, or interactive media.
  • Experience developing and shipping ML systems in production environments.
  • Strong programming skills in Python, along with C++ and/or C#.
  • Experience working with animation systems, including skeletal animation, rigging, or simulation pipelines.
  • Familiarity with ML frameworks such as PyTorch or TensorFlow.
  • Experience working with datasets and building data processing pipelines.
  • Experience integrating systems into realtime engines such as Unity, Unreal, or web-based runtimes.
  • Strong understanding of performance constraints, including latency, memory, and scalability.
  • Experience building tools or workflows for Technical Artists or content teams.

Who You Are:
  • You are comfortable working across machine learning, animation systems, and realtime applications.
  • You can take models from prototype to production and understand the tradeoffs involved.
  • You care about animation quality and user experience, not just model outputs.
  • You work well with cross-functional teams across ML, engineering, and content.
  • You are proactive, detail-oriented, and comfortable owning systems end-to-end.
  • You communicate clearly and can translate technical concepts across disciplines.

How Genies will support you
  • Competitive salary and equity packages
  • Comprehensive health, dental, and vision insurance
  • Unlimited PTO
  • Parental leave
  • Hybrid work structure (minimum 4 days in office weekly)
  • Monthly wellness reimbursement

Genies is a well-funded, fast-growing start-up that values innovation, creativity, and ownership. Our roles and their responsibilities are created with a breadth of scope that introduces each employee to exciting new challenges and opportunities that a growing start-up encounters. The actual base pay is dependent upon a number of factors, including: professional background, training, transferable skills, work experience, education, location, business and product needs, and market demand. The base pay range is subject to change and may be modified in the future.
These are for our full time, benefits eligible positions

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