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Training Content Developer Jobs in California (NOW HIRING)

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Training Content Developer information

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$29.1K

$115.1K

$127.3K

How much do training content developer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for training content developer in California is $115,088.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $126,300.00 per year, depending on experience, location, and employer.

How do you become a training content developer?

To become a training content developer, typically one needs a background in education, instructional design, or a related field, along with strong writing, communication, and technical skills. Familiarity with e-learning tools, such as Articulate or Adobe Captivate, and understanding of adult learning principles are also important. Gaining experience through internships or entry-level roles can help build a portfolio for this profession.

What is training content development?

Training content development involves creating educational materials and resources to facilitate learning and skill acquisition. For a Training Content Developer, this includes designing, writing, and organizing content such as manuals, e-learning modules, and presentations, often using tools like authoring software and adhering to instructional design principles.

What is a training content developer?

A Training Content Developer is responsible for designing, creating, and organizing educational materials for employee training programs. They develop instructional content, such as e-learning courses, manuals, presentations, and assessments, to enhance workforce skills and knowledge. This role requires collaboration with subject matter experts, trainers, and stakeholders to ensure the content is accurate, engaging, and effective. Strong instructional design principles, multimedia development skills, and an understanding of adult learning theories are essential for success in this role.

What are the key skills and qualifications needed to thrive as a training content developer?

To thrive as a Training Content Developer, you need expertise in instructional design, curriculum development, and adult learning principles, often supported by a degree in education, instructional design, or a related field. Familiarity with authoring tools such as Articulate Storyline, Adobe Captivate, and learning management systems (LMS) like Moodle is highly valued, as are certifications such as CPLP or ATD. Exceptional written communication, creativity, and collaboration skills help deliver engaging materials and ensure seamless teamwork with subject matter experts. These skills ensure content is effective, relevant, and tailored to meet organizational learning objectives.

What does a training content developer do?

A typical day for a Training Content Developer involves researching and collaborating with subject matter experts, designing learning modules, creating or editing instructional materials, and integrating multimedia elements. You might spend time developing e-learning courses, storyboarding content, and reviewing feedback to make improvements. Much of the work is collaborative, often requiring coordination with project managers, trainers, and graphic designers to ensure content aligns with organizational goals. This role offers a dynamic mix of creative work and technical execution, allowing you to see the direct impact of your efforts on employee learning and performance.

What are the most commonly searched types of Training Content Developer jobs in California? The most popular types of Training Content Developer jobs in California are:
What are popular job titles related to Training Content Developer jobs in California? For Training Content Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Training Content Developer jobs in California look for? The top searched job categories for Training Content Developer jobs in California are:
Training Content Developer jobs near you
Infographic showing various Training Content Developer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 2% Temporary, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $115,088 per year, or $55.3 per hour.

Content Engineer, Meta Superintelligence Labs

Meta

Menlo Park, CA

$162K/yr

Full-time

Re-posted 3 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 242 rated software companies

Job description

Content Engineering is a horizontal function in the Muse Product Post Training org within Meta Superintelligence Labs (MSL) that shapes AI product experiences by aligning models to be helpful in new product experience through productizing prompt engineering, frontier evaluations, and quality frameworks. Sitting at the intersection of user experience and large-language model behavior, content engineers partner closely with research science, engineering, product and design teams to build and ship AI experiences from lab to production, across modalities and surfaces.Great Content Engineers have the aesthetic taste to notice what makes a model output great, the technical prompting expertise to align models to consistently provide great responses, experience at building auto-gradeable frontier evals for new capabilities, and the experience delivering high scale datasets via human annotators and synthetic data. This role goes beyond shaping how the model communicates — it owns the quality bar. This person defines what "great" looks like across product capabilities, builds the evaluation infrastructure (human and automated) to measure it, and runs the feedback loops that turn qualitative insight into model improvement. They operate as a cross-functional bridge between research science, engineering, product, and policy, translating user-facing quality problems into structured priorities and actionable fixes. They serve as a point of contact for internal stakeholders across AI on priority product and model initiatives, and aim to build experiences that entertain, inform, and delight.
Content Engineer, Meta Superintelligence Labs Responsibilities:
  • Quality Definition & Frameworks: Define what "great" looks like for AI product capabilities — build guidelines, golden response sets, and frontier evals that set the quality bar across features and surfaces. Develop failure mode taxonomies that give engineering teams a structured, prioritized view of what's breaking and why.
  • Evaluation & Measurement: Own the full human evaluation pipeline — design rubrics, guide contractor annotator teams, build calibration processes, and deliver data analysis on results. Partner with Research Science to build and validate auto-judges aligned with human raters
  • define the methodology for measuring alignment drift. Construct and run large-scale evals to track quality metrics across product capabilities over time.
  • Testing & Iteration: Lead structured dogfooding and testing programs — design test plans targeting specific failure modes, run testing rounds, triage and categorize results, and deliver prioritized summaries to product and engineering. Operate at speed to unblock fast iteration — turn around quality assessments quickly enough to inform the current dev cycle, not the next one. Identify emerging quality issues before they reach external users. Craft and tune system prompts and agentic behavior to support product vision and model outcomes.
  • Cross-Functional Leadership: Serve as a key member of the cross-functional team across the product capabilities you work on— aligning engineering, research science, product, policy, and design on quality standards and priorities. Lead through influence and collaboration across teams
  • make quality legible and actionable for technical partners.
  • Agentic workflows: Leverage AI-native tools to replace manual workflows with scalable, repeatable processes across evaluation design, data analysis, visual development and cross-functional comms. Continuously evaluate and adopt emerging tools that allow the team to operate at speed. This is a role where experimentation is key, and a willingness to experiment, learn new tools, and build solutions hands-on is valued.

Minimum Qualifications:
  • Bachelor's degree or equivalent experience with 5+ years of experience in digital content strategy, user experience, technical writing, journalism, production, or related fields
  • Experience designing and running human evaluation pipelines at scale — including annotator management, rubric design, golden set construction, and calibration
  • Experience translating ambiguous "it doesn't feel right" feedback into structured, objective, fixable categories
  • Experience defining and operationalizing subjective quality dimensions into measurable benchmarks
  • Experience running structured software testing/qa programs — designing test plans, triaging results, and delivering actionable analysis to engineering teams fast enough to matter in the current dev cycle
  • Experience making editorial and content quality decisions in a fast-paced environment, communicating complex technical concepts to cross-functional partners, and leading through influence across teams without direct reporting lines

Preferred Qualifications:
  • Experience with AI-native tooling (LLM-based development tools, annotation platforms, prototyping environments) and a bias toward using them to move faster
  • Experience with LLM-as-judge development — building automated quality signals aligned with human judgment, and validating that alignment over time
  • Experience working with product teams or programs (or other equivalent fields) from roadmapping through delivery
  • Experience working in prompt engineering and agentic workflows

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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