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Ai Language Training Jobs in California (NOW HIRING)

AI Researcher

San Jose, CA · On-site +1

$180K - $350K/yr

Hume AI is seeking talented AI researchers interested in working with our team to build state-of-the-art speech-language models (SLMs). Our new SLM training method-reinforcement learning from human ...

AI Researcher

Sunnyvale, CA · On-site

$160K - $400K/yr

... language-action modeling, sim-to-real transfer, dynamic AI memory, and multi-agent coordination. Your work will be foundational to the development, training, and deployment of Fury. This role sits at ...

... language-action modeling, sim-to-real transfer, dynamic AI memory, and multi-agent coordination. Your work will be foundational to the development, training, and deployment of Fury. This role sits at ...

Senior AI Researcher

Sunnyvale, CA · On-site +1

$200K - $400K/yr

... language-action modeling, sim-to-real transfer, dynamic AI memory, and multi-agent coordination. Your work will be foundational to the development, training, and deployment of Fury. This role sits at ...

... language models. This is a foundational research role focused on one of the most consequential open data problems in AI: how to generate the data, reward signals, and training procedures that steer ...

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Ai Language Training information

What is an AI language training?

An AI Language Training job involves training, evaluating, and improving AI language models to enhance their accuracy and effectiveness. Professionals in this role work on providing high-quality linguistic data, refining model responses, and ensuring AI-generated content aligns with human expectations. Tasks may include annotating text, reviewing AI outputs, and implementing feedback to optimize language models. This job often requires strong language skills, attention to detail, and familiarity with AI-driven communication tools.

What are some common challenges faced in an AI language training role?

Professionals in AI Language Training often encounter challenges such as handling ambiguous or noisy language data, ensuring model outputs are both accurate and unbiased, and staying updated with rapid advancements in AI research. Balancing data quality with scalability and collaborating across multidisciplinary teams to define linguistic requirements can also present complexities. However, these challenges make the work dynamic and intellectually stimulating, offering continuous learning opportunities and the chance to significantly impact the performance of AI-powered language systems.

What are the key skills and qualifications needed to thrive in AI language training?

To excel in AI Language Training, you need a strong background in linguistics, natural language processing (NLP), and machine learning, often supported by a degree in computer science, computational linguistics, or a related field. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and experience with annotation tools or dataset management are typically required. Attention to detail, problem-solving skills, and effective communication are important soft skills for refining models and collaborating with cross-functional teams. These qualifications ensure that language models are accurately trained, continuously improved, and aligned with real-world use cases.

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

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

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

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

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

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

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

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

Infographic showing various Ai Language Training 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.

Applied AI Scientist, Small Language Model and AI Training

Postman

San Francisco, CA

$218K - $288K/yr

Full-time

Re-posted 8 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.