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Ai Model Training Jobs in California (NOW HIRING)

Gallatin AI, Inc.

AI Software Engineer

El Segundo, CA · On-site

Hands-on experience with AI/ML training and fine-tuning frameworks, including: PyTorch, TensorFlow, CUDA, Jupyter Notebooks, Large Language Models (LLMs) and Open-Source Models (Llama, Anthropic ...

Gallatin AI, Inc.

AI Software Engineer

Palo Alto, CA · On-site

Hands-on experience with AI/ML training and fine-tuning frameworks, including: PyTorch, TensorFlow, CUDA, Jupyter Notebooks, Large Language Models (LLMs) and Open-Source Models (Llama, Anthropic ...

Gallatin AI, Inc.

AI Software Engineer

El Segundo, CA · On-site

Hands-on experience with AI/ML training and fine-tuning frameworks, including: PyTorch, TensorFlow, CUDA, Jupyter Notebooks, Large Language Models (LLMs) and Open-Source Models (Llama, Anthropic ...

Gallatin AI, Inc.

AI Software Engineer

Palo Alto, CA · On-site

Hands-on experience with AI/ML training and fine-tuning frameworks, including: PyTorch, TensorFlow, CUDA, Jupyter Notebooks, Large Language Models (LLMs) and Open-Source Models (Llama, Anthropic ...

Gallatin AI, Inc.

AI Software Engineer

El Segundo, CA · On-site

Hands-on experience with AI/ML training and fine-tuning frameworks, including: PyTorch, TensorFlow, CUDA, Jupyter Notebooks, Large Language Models (LLMs) and Open-Source Models (Llama, Anthropic ...

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Ai Model Training information

What is an AI model training?

An AI Model Training job involves preparing, training, and optimizing machine learning models using data. Professionals in this role preprocess datasets, select appropriate algorithms, adjust model parameters, and evaluate performance to improve accuracy. They work with frameworks like TensorFlow or PyTorch and may fine-tune models for specific tasks such as image recognition or natural language processing. This job requires expertise in data science, programming, and statistical analysis to ensure models perform efficiently in real-world applications.

What are the typical work responsibilities of someone in AI model training?

Professionals in AI Model Training are typically responsible for collecting, preparing, and processing large datasets, designing and implementing machine learning models, and evaluating their performance using statistical methods. You may work closely with data engineers, software developers, and product managers to ensure models meet business objectives and integrate smoothly into existing systems. Regular responsibilities also include tuning hyperparameters, troubleshooting model issues, and staying up-to-date with the latest advancements in AI. This role often involves a mix of independent technical work and collaborative problem-solving sessions with the broader team.

What are the key skills and qualifications needed to thrive in the AI model training position, and why are they important?

To excel in AI Model Training, you need a strong background in machine learning, programming (especially Python), data analysis, and a relevant degree such as computer science or engineering. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud computing platforms, and certifications in AI or data science are highly advantageous. Strong problem-solving skills, attention to detail, and the ability to communicate complex ideas effectively make candidates stand out. These competencies are crucial for developing accurate, efficient AI models and collaborating seamlessly within multidisciplinary teams.

Are there any legit AI model training jobs?

Yes, legitimate AI model training jobs are available in the tech industry, often requiring skills in machine learning, programming (such as Python), and data annotation. These roles can be found at technology companies, research institutions, and through reputable job boards, and may involve tasks like data labeling, model tuning, and algorithm development.

Can you get paid to train AI models?

Yes, AI model training is a paid role that involves developing and fine-tuning machine learning algorithms, often requiring skills in programming, data analysis, and familiarity with tools like TensorFlow or PyTorch. Salaries vary based on experience, location, and the complexity of the models being trained.

How do I become an AI model trainer?

To become an AI model trainer, you typically need a strong background in computer science, machine learning, or data science, often with a bachelor's or master's degree. Skills in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and understanding of data preprocessing are essential. Gaining hands-on experience through projects or internships can also improve your prospects in this role.

What are the most commonly searched types of Ai Model Training jobs in California?

The most popular types of Ai Model Training jobs in California are:

What are popular job titles related to Ai Model Training jobs in California?

For Ai Model Training jobs in California, the most frequently searched job titles are:

What job categories do people searching Ai Model Training jobs in California look for?

The top searched job categories for Ai Model Training jobs in California are:

What cities in California are hiring for Ai Model Training jobs?

Cities in California with the most Ai Model Training job openings:

Ai Model Training jobs near you
Infographic showing various Ai Model Training job openings in California as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution.

Strategic Project Lead (AI Model Training)

GLG

San Francisco, CA • On-site

Full-time

Re-posted 7 days ago

Job description

We are seeking a Strategic Project Lead (SPL)to manage and deliver human data programs within a fast-growing new business unit within GLG.  You will play a key role in providing elite domain expertise to frontier AI labs and enterprises.  You will own end-to-end delivery, from scoping projects alongside AI researchers through coordinating experts and overseeing dataset curation and quality control.  In this role, you will also contribute to the continuous improvement of delivery operations of a rapidly scaling business.  

Human data at GLG is unique.  As the world's leading platform for trusted human expertise, we bring nearly 30 years of experience connecting clients with hard-to-access domain experts to solve their most complex challenges.  SPLs benefit from the resources and recognition of GLG's longstanding brand and market leadership while operating in a fast-paced, start-up-like environment within the human data business unit.   

Key Responsibilities 

  • Scope client requests into structured projects.  Work with AI researchers, human data operators, and other key client stakeholders to translate open-ended aims into clear objectives and projects (e.g., task types, data format, volume, timeline, quality criteria). 
  • Own end-to-end delivery.  Manage daily operations, monitor task execution, oversee expert training and onboarding, provide ongoing logistics support, and ensure data quality. 
  • Serve as the client's primary point of contact.  From scoping to delivery, you will own the client relationship, regularly report on progress, and adjust project scope and trajectory based on client input.   
  • Shape the business unit's delivery model.  You will play a lead role in refining GLG's human data operating playbooks, templates, and methodologies, and drive impact on the business beyond your own projects. 

Qualifications 

Required: 

  • 2-3 years in management consulting (MBB or comparable), investment banking, private equity, or a similarly rigorous structured-problem-solving environment, OR founder/operator experience building something from an ambiguous starting point, OR 1-2 years in a Strategic Project Lead role managing human data projects 
  • Demonstrated ability to structure a vague, open-ended problem into a clear plan of action, independently 
  • Experience owning workstreams and/or projects end-to-end, and coordinating multiple stakeholder groups toward shared deliverables under tight timelines 
  • Strong attention to detail, impeccable quality standards, and driven by results 
  • Superior written and verbal communication skills 
  • Thrives in ambiguous, fast-paced environments  

Strongly preferred: 

  • Current or recent experience as a Strategic Project Lead, Project Lead, or similar client-delivery role at an AI training/human-data company 
  • Exposure to AI/ML concepts sufficient to be conversant in evaluation, preference data, fine-tuning, and rubric design 

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