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Training Developer Jobs in California (NOW HIRING)

By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable ... The Post-Training team is responsible for the success of our customers' post-trained models, and we ...

About the Team Training Runtime designs the core distributed machine-learning training runtime that ... We integrate proven large-scale capabilities into a composable, developer-facing runtime so teams ...

You will collaborate with compute engineers to scale efficient training across thousands of GPUs and RL environments. You will build high-performance tools to investigate how data and simulation ...

EHS Training Engineer

Santa Clara, CA ยท On-site

$115K - $125K/yr

The Opportunity The EHS Training Engineer is responsible for designing, developing, and delivering training programs that ensure compliance with environmental, health, and safety regulations while ...

EHS Training Engineer

Santa Clara, CA ยท On-site

$115K - $125K/yr

The Opportunity The EHS Training Engineer is responsible for designing, developing, and delivering training programs that ensure compliance with environmental, health, and safety regulations while ...

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Training Developer information

See California salary details

$17

$39

$86

How much do training developer jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for training developer in California is $39.97, according to ZipRecruiter salary data. Most workers in this role earn between $28.22 and $47.21 per hour, depending on experience, location, and employer.

What are some typical challenges a Training Developer faces when creating learning materials for diverse audiences?

Training Developers often encounter the challenge of designing content that is engaging and accessible for learners with varying backgrounds, skill levels, and learning preferences. Balancing technical accuracy with clarity, ensuring content aligns with organizational goals, and incorporating feedback from subject matter experts can also add complexity. Collaborating closely with instructional designers, trainers, and stakeholders is crucial to produce effective training programs that meet all learners' needs.

What is the difference between Training Developer vs Instructional Designer?

AspectTraining DeveloperInstructional Designer
CredentialsTypically requires a degree in education, instructional design, or related field; certifications like ATD CPTD are commonSimilar credentials; often holds degrees in education, instructional design, or related fields; certifications like ATD CPTD are also valued
Work EnvironmentWorks in corporate, educational, or government settings developing training programs and materialsDesigns learning experiences, often collaborating with subject matter experts in various industries
Employer & Industry UsageUsed by organizations to create employee training programs, e-learning modules, and workshopsUsed by educational institutions, corporations, and e-learning companies to develop instructional content

Training Developers and Instructional Designers share similar credentials and work environments, often collaborating to create effective learning materials. While Training Developers focus on creating and implementing training programs, Instructional Designers emphasize designing engaging learning experiences. Both roles are essential in education and corporate training, with overlapping skills and industry usage.

What are the key skills and qualifications needed to thrive as a Training Developer, and why are they important?

To thrive as a Training Developer, you need expertise in instructional design, curriculum development, and adult learning theory, usually supported by a degree in education, instructional design, or a related field. Proficiency with e-learning authoring tools (such as Articulate Storyline or Adobe Captivate), learning management systems (LMS), and multimedia software is often required. Strong communication, creativity, and project management skills help you create engaging learning experiences and collaborate with stakeholders. These abilities ensure that training programs are effective, engaging, and aligned with organizational goals.

What are Training Developers?

Training Developers are professionals who design, create, and implement training programs and materials for organizations. They assess learning needs, develop instructional content such as presentations, manuals, e-learning courses, and facilitate training sessions to help employees gain new skills or knowledge. Their goal is to ensure that training is effective, engaging, and aligned with organizational objectives. Training Developers may work with subject matter experts and use a variety of instructional technologies and methods to enhance the learning experience.
What are popular job titles related to Training Developer jobs in CA? For Training Developer jobs in CA, the most frequently searched job titles are:
Infographic showing various Training Developer job openings in California as of June 2026, with employment types broken down into 4% As Needed, 8% Full Time, 84% Part Time, and 4% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $83,137 per year, or $40 per hour.

Research Engineer - Distributed Training

Prime Intellect

San Francisco, CA โ€ข On-site, Remote

$150/hr

Full-time

Posted 27 days ago


Job description

Building Open Superintelligence Infrastructure
Prime Intellect is building the open superintelligence stack - from frontier agentic models to the infra that enables anyone to create, train, and deploy them. We aggregate and orchestrate global compute into a single control plane and pair it with the full rl post-training stack: environments, secure sandboxes, verifiable evals, and our async RL trainer. We enable researchers, startups and enterprises to run end-to-end reinforcement learning at frontier scale, adapting models to real tools, workflows, and deployment contexts.
As a Research Engineer working on Distributed Training, you'll play a crucial role in shaping our technological direction, focusing on our decentralizing AI training stack. If you love scaling things and maximizing training efficiency, this role is for you.
Responsibilities
  • Lead and participate in novel research to build a massive scale, highly reliable and secure decentralized training orchestration solution
  • Optimize the performance, cost, and resource utilization of AI workloads by leveraging the most recent advances for compute & memory optimization techniques.
  • Contribute to the development of our open-source libraries and frameworks for distributed model training.
  • Publish research in top-tier AI conferences such as ICML & NeurIPS.
  • Distill highly technical project outcomes in layman approachable technical blogs to our customers and developers.
  • Stay up-to-date with the latest advancements in AI/ML infrastructure and tools, decentralized training research and proactively identify opportunities to enhance our platform's capabilities and user experience.
Requirements
  • Strong background in AI/ML engineering, with extensive experience in designing and implementing end-to-end pipelines for training and deploying large-scale AI models.
  • Deep expertise in distributed training techniques, frameworks (e.g., PyTorch Distributed, DeepSpeed, MosaicML's LLM Foundry), and tools (e.g. Ray) for optimizing the performance and scalability of AI workloads.
  • Experience in large-scale model training incl. distributed training techniques such as data, tensor & pipeline parallelism
  • Solid understanding of MLOps best practices, including model versioning, experiment tracking, and continuous integration/deployment (CI/CD) pipelines.
  • Passion for advancing the state-of-the-art in decentralized AI model training and democratizing access to AI capabilities for researchers, developers, and businesses worldwide.
  • If you're not familiar with these, but feel like that you can contribute to our mission and you're a high-energy person, get familiar with these resources (here, here and here) and please reach out!

Benefits & Perks
  • Cash Compensation Range of $150-300k, plus equity incentives, aligning your success with the growth and impact of Prime Intellect.
  • Flexible work arrangements, with the option to work remotely or in-person at our offices in San Francisco.
  • Visa sponsorship and relocation assistance for international candidates.
  • Quarterly team off-sites, hackathons, conferences and learning opportunities.
  • Opportunity to work with a talented, hard-working and mission-driven team, united by a shared passion for leveraging technology to accelerate science and AI.

We recently raised $15mm in funding (total of $20mm raised) led by Founders Fund, with participation from Menlo Ventures and prominent angels including Andrej Karpathy (Eureka AI, Tesla, OpenAI), Tri Dao (Chief Scientific Officer of Together AI), Dylan Patel (SemiAnalysis), Clem Delangue (Huggingface), Emad Mostaque (Stability AI) and many others.
If you're excited about the opportunity to build the foundation for the future of decentralized AI and create a platform that empowers developers and researchers to push the boundaries of what's possible, we'd love to hear from you.