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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 ...

We are looking for a research engineer who can help scale that loop: defining and running model training experiments, interpreting results, and working with internal and external research partners to ...

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 ...

Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps , training infrastructure, and ML framework-level topics . * Design challenging, domain-relevant ...

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Training Developer information

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How much do training developer jobs pay per hour?

As of Jul 14, 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 job categories do people searching Training Developer jobs in California look for? The top searched job categories for Training Developer jobs in California are:
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 July 2026, with employment types broken down into 84% Full Time, 5% Part Time, 2% Temporary, and 9% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $83,137 per year, or $40 per hour.
Distributed Training Engineer, Sora

Distributed Training Engineer, Sora

OpenAI

San Francisco, CA • On-site

$293K - $490K/yr

Full-time

Posted 28 days ago


Job description

About the Team
The Sora team is working on making video a key capability of OpenAI's foundation models. We are a hybrid research and product team that seeks to understand and expand the capabilities of our video models, while ensuring their reliability and safety. We accomplish this both through directly studying and experimenting with the models, as well as deploying them into the real-world to distribute their benefits widely.
About the Role
As a Distributed Systems/ML engineer, you will work on improving the training throughput for our internal training framework and enable researchers to experiment with new ideas. This requires good engineering (for example designing, implementing, and optimizing state-of-the-art AI models), writing bug-free machine learning code (surprisingly difficult!), and acquiring deep knowledge of the performance of supercomputers. We're looking for people who love optimizing performance, understanding distributed systems, and who cannot stand having bugs in their code.
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will:
  • Collaborate with researchers to enable them to develop systems-efficient video models and architectures
  • Apply the latest techniques to our internal training framework to achieve impressive hardware efficiency for our training runs
  • Profile and optimize our training framework

You might thrive in this role if you:
  • Have experience working with multi-modal ML pipelines
  • Love diving deep into systems implementations and understanding their fundamentals in order to improve their performance and maintainability
  • Have strong software engineering skills and are proficient in Python.
  • Have experience understanding and optimizing training kernels
  • Are passionate about understanding stable training dynamics

About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.