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Ai Model Trainer 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

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

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 ...

NVIDIA

Solutions Architect, AI Models

Santa Clara, CA · On-site

$74 - $97.50/hr

... the AI model lifecycle--from data processing and orchestration to training, post-training, reinforcement learning (RL), evaluation, and model optimization. • Support a broad model portfolio ...

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 Trainer information

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How much do ai model trainer jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for ai model trainer in California is $25.37, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $29.42 per hour, depending on experience, location, and employer.

What does an AI model trainer do?

An AI Model Trainer is responsible for developing, training, and refining artificial intelligence models using large datasets. They preprocess data, select appropriate algorithms, monitor model performance, and tune parameters to improve accuracy and efficiency. Model trainers often collaborate with data scientists, engineers, and domain experts to ensure the AI meets specific requirements and delivers reliable results. Their work is essential for creating applications like image recognition, natural language processing, and predictive analytics.

What are some typical challenges faced by AI model trainers when working with large datasets?

AI Model Trainers frequently encounter challenges such as ensuring data quality, handling imbalanced datasets, and maintaining data privacy. Working with large datasets often requires careful preprocessing and cleaning to avoid biases and inaccuracies in the model. Additionally, trainers must collaborate closely with data engineers, domain experts, and software developers to validate data sources and to fine-tune models for optimal performance. Addressing these challenges is critical for producing reliable, high-performing AI systems.

What are the key skills and qualifications needed to thrive as an AI model trainer, and why are they important?

To thrive as an AI Model Trainer, you need strong expertise in machine learning, data analysis, and a background in computer science or a related field, often supported by an advanced degree. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with data labeling and annotation tools are essential. Attention to detail, critical thinking, and effective communication help in accurately training and refining AI models while collaborating with diverse teams. These skills ensure that AI systems are trained accurately and efficiently, leading to reliable and ethical AI solutions.

What is the difference between Ai Model Trainer vs Data Scientist?

AspectAi Model TrainerData Scientist
Required CredentialsBachelor's in CS, ML, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; advanced analytics skills
Work EnvironmentHands-on model training, data preprocessing, tuningData analysis, modeling, visualization, reporting
Employer & Industry UsageTech companies, AI startups, research labsTech, finance, healthcare, consulting firms
Search & Comparison IntentUnderstanding roles in AI developmentAnalyzing data to inform decisions

While both roles involve working with data and machine learning, an Ai Model Trainer primarily focuses on training and fine-tuning AI models, whereas a Data Scientist emphasizes analyzing data, building models, and deriving insights. The roles often overlap but serve different stages of AI and data projects.

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

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

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

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

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

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

Ai Model Trainer jobs near you
Infographic showing various Ai Model Trainer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $52,767 per year, or $25.4 per hour.

Applied AI Scientist, Small Language Model and AI Training

San Francisco, CA

Postman
Software Development • 501 - 1,000 employees
Learn more about Postmanexternal

$218K - $288K/yr

Full-time

Re-posted 18 days ago

Job description

The Opportunity

As an Applied Scientist specializing in Small Language Models and AI Training, you will lead research and development efforts focused on building efficient, high-performance language models tailored for practical applications. You will work closely with research, engineering, and product teams to advance model training techniques, optimize architectures, and scale AI solutions. Your work will directly contribute to AI systems that are safe, interpretable, and impactful across diverse usage scenarios.

What You'll Do

  • Lead research and development of novel training methodologies and architectures for small and efficient language models.

  • Design, implement, and evaluate model training experiments to improve performance, robustness, and generalization of language models.

  • Collaborate closely with research scientists and engineers on scalable training pipelines and model deployment strategies.

  • Develop techniques for model compression, fine-tuning, and domain adaptation to optimize models for real-world applications.

  • Ensure AI safety, fairness, and alignment principles are integrated into model training processes and evaluated rigorously.

  • Mentor and support cross-functional teams on applied machine learning methods and best practices.

  • Evaluate and integrate new tools, frameworks, and datasets to accelerate AI training workflows.

  • Partner with product teams to translate model capabilities into actionable features aligned with user needs and ethical standards.

About You

  • Have demonstrated experience in applied research or engineering roles focused on training language models, ideally small or efficient models.

  • Strong programming skills in Python and familiarity with machine learning frameworks such as PyTorch, TensorFlow, or JAX.

  • Deep understanding of language model architectures, training techniques, and optimization strategies.

  • Experience with distributed training, data pipeline design, and scalable AI infrastructure.

  • Passion for AI safety, interpretability, and delivering user-centered AI technology.

  • Excellent communication skills with proven ability to collaborate across research, engineering, and product teams.

Preferred

  • Prior experience working with large and small language models in production or research settings.

  • Background in reinforcement learning, prompt engineering, or transfer learning techniques.

  • Experience with developer tools, APIs, or frameworks related to AI model integration and delivery.

  • Knowledge of AI alignment, fairness, and ethical AI training methodologies.

The reasonably estimated base salary for this role ranges from $218,500.00 to $288,000.00, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. 

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