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Language Research Jobs in California (NOW HIRING)

Direct experience working with Large Language Models (LLMs) or Vision-Language Models (VLMs) in research or production settings * Strong research background in Natural Language Processing, Machine ...

Some examples of research; reinforcement learning, automatic summarization, language modeling, language internationalization, and so much more. You will get a chance to work on a wide range of ...

You'll train and deploy large language models at scale, architect intelligent agent systems, and transform research breakthroughs into production-ready tools used by leading hardware companies. Key ...

You'll design, train, and iterate on models across the voice stack (speech, audio, language, and beyond), while also building the infrastructure and tooling needed to move fast from research idea to ...

Showing results 21-40

Language Research information

See California salary details

$10

$36

$67

How much do language research jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for language research in California is $36.59, according to ZipRecruiter salary data. Most workers in this role earn between $23.54 and $45.90 per hour, depending on experience, location, and employer.

How do language researchers typically collaborate with other team members in multidisciplinary projects?

Language researchers often work closely with professionals from fields such as computational linguistics, software engineering, and cognitive science. Collaboration usually involves sharing linguistic insights, contributing to project design, and interpreting language data for product or research development. Effective communication and the ability to translate complex linguistic concepts for non-specialists are key to success. Regular meetings, collaborative documentation, and cross-functional workshops are common practices that help ensure smooth collaboration and project progress.

What is language research?

Language research is the scientific study of language, including its structure, use, acquisition, and evolution. Researchers in this field analyze how people communicate, how languages differ and change, and how language relates to the brain and society. This work can involve linguistics, psychology, neuroscience, computer science, and education, and often contributes to advancements in technology, language learning, and understanding human cognition.

What is the difference between Language Research vs Language Analyst?

AspectLanguage ResearchLanguage Analyst
Required CredentialsDegree in linguistics, language studies, or related fieldDegree in linguistics, language studies, or related field; often additional certification
Work EnvironmentAcademic, research institutions, or corporate R&DGovernment agencies, intelligence, security, or corporate security teams
Employer & Industry UsageUniversities, research centers, tech companiesGovernment agencies, defense, intelligence, security firms
Common Search & ComparisonResearch roles, academic positionsOperational, analysis, intelligence roles

Language Research focuses on studying languages, linguistics, and theoretical aspects, often within academic or R&D settings. Language Analysts apply linguistic skills to analyze language data for security, intelligence, or operational purposes. While both roles require similar educational backgrounds, their work environments and objectives differ significantly.

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

To thrive in Language Research, a strong background in linguistics, data analysis, and research methodologies, often supported by an advanced degree in linguistics or a related field, is essential. Familiarity with linguistic analysis software, corpus management tools, and programming languages such as Python or R is typically required. Attention to detail, critical thinking, and effective written communication distinguish top performers in this field. These skills enable researchers to produce rigorous, impactful findings and advance understanding in language-related domains.
What are popular job titles related to Language Research jobs in California? For Language Research jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Language Research jobs? Cities in California with the most Language Research job openings:
Infographic showing various Language Research job openings in California as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $76,114 per year, or $36.6 per hour.

Research Engineer

Nace AI

Palo Alto, CA • On-site

Full-time

Re-posted 25 days ago


Job description

Role Description
This role is on-site in Palo Alto, CA.
Nace AI is building the next generation of enterprise intelligence - advanced long-horizon reasoning models and autonomous agents designed to execute complex financial workflows with precision. Our flagship product, Agentic Accounting, enables financial audit, billing audit, and revenue leakage detection with speed and accuracy that traditional systems cannot match.
We are at a pivotal stage in our growth. While we've already achieved sufficient funding, our ambitions are much larger. Our goal is to become the foundational AI platform for intelligent financial operations across the enterprise.
The work we are doing has meaningful impact across industries, and every hire at Nace AI plays a critical role in shaping the company's trajectory. This is a unique opportunity to join a high conviction AI company at an early stage and directly influence its growth.
If building a world-class AI team from the ground up excites you, we'd love to talk.
Minimum Qualifications
  • Direct experience working with Large Language Models (LLMs) or Vision-Language Models (VLMs) in research or production settings
  • Strong research background in Natural Language Processing, Machine Learning, or related disciplines with focus on language modeling
  • Proven track record in solving complex problems in language understanding, generation, or multimodal AI using rigorous quantitative methodologies
  • Demonstrated ability to clearly communicate research findings to diverse technical audiences
  • Proficient programming skills in Python and deep learning frameworks (PyTorch, JAX, or TensorFlow), with experience in distributed training and model optimization

Preferred Qualifications
  • PhD in Computer Science, Computational Linguistics, or closely related field with focus on language models and adaptive learning systems
  • Proven research and engineering experience with LLMs/VLMs, particularly in meta-learning or parameter-efficient adaptation, as evidenced by grants, fellowships, patents, internships, or contributions to open-source projects
  • First authored publications on language models, meta-learning, hypernetworks, or adaptive AI in recognized peer-reviewed conferences (ACL, EMNLP, NeurIPS, ICML, ICLR) or journals
  • Kaggle experience is a plus.

Preferred Technical Experience
  • Research expertise in LLM reasoning, hypernetworks, multi-task learning, meta-learning, designing novel LLM adaptation methods, Online Continual Learning