ZipRecruiter

Log In

1

Short Training Jobs in California (NOW HIRING)

Deegit Inc

Technical Business Analyst

San Ramon, CA · On-site

This person will need to be a quick learner and a self-starter who is willing to jump in and start learning about the applications on their own after a short training period. Position details:

next page

Showing results 1-20

All JobsShort Training JobsShort Training Jobs in California

Short Training information

See California salary details

$5

$29

$44

How much do short training jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for short training in California is $29.91, according to ZipRecruiter salary data. Most workers in this role earn between $20.87 and $39.13 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a short training instructor, and why are they important?

To thrive as a Short Training Instructor, you need expertise in the subject being taught, relevant teaching or industry certifications, and experience designing concise, effective training programs. Familiarity with learning management systems (LMS), instructional design software, and digital presentation tools is often required. Strong communication, adaptability, and the ability to engage diverse learners make an instructor stand out. These skills are crucial for delivering impactful, efficient training that meets learning objectives in a limited timeframe.

What is short training?

Short training refers to brief, focused educational programs designed to quickly teach specific skills or knowledge. These trainings typically last from a few hours to a few weeks and are often used to upskill employees, introduce new technologies, or provide certifications. Short training is popular in industries that require rapid adaptation to changing tools or regulations. They are ideal for people seeking to enhance their competencies without committing to long-term education.

What are some common challenges faced by trainers delivering short training sessions, and how can they be addressed?

Trainers conducting short training sessions often face the challenge of engaging participants and delivering key information within a limited timeframe. Balancing depth with brevity can be difficult, as trainers must prioritize essential topics while ensuring participants remain actively involved. Effective strategies include using interactive activities, focusing on practical applications, and providing concise, clear materials. Collaborating closely with subject matter experts and gathering participant feedback also helps trainers refine their approach and maximize session impact.

What is the difference between Short Training vs Medical Assistant?

AspectShort TrainingMedical Assistant
CredentialsShort-term courses, certificatesPost-secondary education, certification (e.g., CMA)
Work EnvironmentVaries; often temporary or supplemental rolesClinics, hospitals, healthcare facilities
Industry UsageTraining programs for entry-level skillsFull-time healthcare support staff

Short Training programs provide quick, focused education for entry-level skills, often leading to certificates. Medical Assistants typically complete formal post-secondary education and certification, working in healthcare settings. While Short Training offers rapid skill acquisition, Medical Assistants have broader responsibilities and longer training, making them more integrated into healthcare teams.

What are popular job titles related to Short Training jobs in California? For Short Training jobs in California, the most frequently searched job titles are:
What job categories do people searching Short Training jobs in California look for? The top searched job categories for Short Training jobs in California are:
What cities in California are hiring for Short Training jobs? Cities in California with the most Short Training job openings:
Short Training jobs near you
Infographic showing various Short Training job openings in California as of July 2026, with employment types broken down into 70% Full Time, 22% Part Time, 2% Temporary, and 6% Contract. Highlights an 92% In-person, 2% Hybrid, and 6% Remote job distribution, with an average salary of $62,207 per year, or $29.9 per hour.

Senior Software Engineer (Backend) - AI/ML Environments

Databricks

Mountain View, CA • On-site

Full-time

Re-posted 7 days ago

Job description

Job Summary:
Databricks is a data and AI company passionate about enabling data and AI teams to solve the world's toughest problems. As part of the ML/AI Environments team, you will build the system that allows AI researchers and engineers to set up their desired training and serving environments, collaborating with various teams to enhance the Databricks platform.
Responsibilities:
• Build the infrastructure that enables ML and AI users to configure training and serving environments easily, reliably and reproducibly.
• Collaborate with other AI infrastructure teams to build the features that customers need to get more from the Databricks platform. Examples include improving performance of setting up virtual environments for short training and data processing sessions, improving observability to help customers debug when runs fail, etc.
• Interact with turnkey customers and product managers to envision new features and identify areas for improvement.
• Shape how developers and data scientists build and interact with AI on Databricks.
Qualifications:
Required:
• 5+ years of experience in backend or infrastructure engineering with a focus on building systems
• Strong programming skills in Python, Scala or Java
• Experience with distributed systems, scalable APIs, or cloud-native infrastructure
• Familiarity with service-oriented architecture, deployment pipelines, and system observability
• Strong product and ownership mindset — you care about building the right solution, not just any solution
• Strong understanding of dependency management technologies including virtual environments or containerization technologies.
Company:
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

Apply