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Language Technology Jobs in California (NOW HIRING)

Pryon

Solutions Architect

San Francisco, CA · Remote

$160K - $180K/yr

About Pryon: We're a team of AI, technology, and language experts whose DNA lives in Alexa, Siri, Watson, and virtually every human language technology product on the market. Now we're building an ...

LA Promise Fund

Foreign Language Teacher

South Gate, CA · On-site

Instruction is based on the CA World Language Standards and key concepts; language structure ... technology, project-based learning, and a Digital Media Arts/Video Production theme. This is a ...

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LA Promise Fund

Foreign Language Teacher

South Gate, CA · On-site

$60K/yr

POSITION SUMMARY The Foreign Language teacher will engage learners through rigorous, standards ... technology, project-based learning, and a Digital Media Arts/Video Production theme. This is a ...

Pryon

Senior Director, Marketing

San Francisco, CA · Remote

About Pryon: We're a team of AI, technology, and language experts whose DNA lives in Alexa, Siri, Watson, and virtually every human language technology product on the market. Now we're building an ...

Pryon

Senior Director, Marketing

San Francisco, CA · Remote

About Pryon: We're a team of AI, technology, and language experts whose DNA lives in Alexa, Siri, Watson, and virtually every human language technology product on the market. Now we're building an ...

Pryon

Senior Director, Marketing

San Francisco, CA · On-site

About Pryon: We're a team of AI, technology, and language experts whose DNA lives in Alexa, Siri, Watson, and virtually every human language technology product on the market. Now we're building an ...

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All JobsLanguage Technology JobsLanguage Technology Jobs in California

Language Technology information

See California salary details

$34.5K

$62.5K

$110K

How much do language technology jobs pay per year?

As of Jul 6, 2026, the average yearly pay for language technology in California is $62,534.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,900.00 and $70,100.00 per year, depending on experience, location, and employer.

What is a Language Technology job?

A Language Technology job involves developing, improving, and applying computational tools for processing human language. Professionals in this field work on machine translation, speech recognition, text analysis, and natural language processing (NLP) applications. They often collaborate with linguists, data scientists, and software engineers to create algorithms that enable machines to understand and generate human language efficiently. These roles are common in industries such as AI research, software development, and digital communication.

What are the key skills and qualifications needed to thrive in the Language Technology position, and why are they important?

To thrive in a Language Technology role, you need strong expertise in computational linguistics, programming (such as Python or Java), and a background in linguistics or language studies, often supported by a relevant degree. Familiarity with natural language processing (NLP) frameworks, machine learning libraries, and tools like TensorFlow, spaCy, or NLTK is highly advantageous. Strong problem-solving skills, attention to detail, and effective communication abilities are key soft skills in this field. These competencies are essential to developing innovative language-based applications and collaborating with interdisciplinary teams to solve real-world language challenges.

What types of projects or tasks do professionals in Language Technology commonly work on?

Professionals in Language Technology often work on projects such as developing chatbots, designing speech recognition systems, building machine translation tools, and enhancing text analytics applications. Daily tasks may include data preprocessing, linguistic annotation, model training and evaluation, and collaborating with software engineers or data scientists to integrate language models into products. The role frequently involves both independent research and cross-functional teamwork, depending on the project phase. These varied responsibilities make the work dynamic and provide ample opportunities to learn and contribute to cutting-edge advancements in language-based technologies.

What are the most commonly searched types of Language Technology jobs in California? The most popular types of Language Technology jobs in California are:
What are popular job titles related to Language Technology jobs in California? For Language Technology jobs in California, the most frequently searched job titles are:
What job categories do people searching Language Technology jobs in California look for? The top searched job categories for Language Technology jobs in California are:
What cities in California are hiring for Language Technology jobs? Cities in California with the most Language Technology job openings:
Language Technology jobs near you
Infographic showing various Language Technology job openings in California as of June 2026, with employment types broken down into 1% As Needed, 74% Full Time, 19% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $62,534 per year, or $30.1 per hour.
Solutions Architect

Solutions Architect

Pryon

San Francisco, CA • Remote

$160K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Job description

About Pryon: 
We're a team of AI, technology, and language experts whose DNA lives in Alexa, Siri, Watson, and virtually every human language technology product on the market. Now we're building an industry-leading knowledge management and Retrieval-Augmented Generation (RAG) platform. Our proprietary, cutting-edge natural language processing capabilities transform unstructured data into meaningful experiences that increase productivity with unmatched accuracy and speed.

As a Solutions Architect at Pryon, you will be at the forefront of translating federal customer needs into robust technical solutions. From leading discovery sessions with government agencies and designing secure, compliant architectures to building POCs that showcase the power of our platform, you will help federal customers unlock the full potential of AI-driven knowledge management in mission-critical environments.
In This Role You Will:
  • Lead technical discovery sessions with federal customers and government stakeholders to scope requirements, define success criteria, and translate mission needs into actionable solution architectures.
  • Design scalable, secure, and high-performance architectures that align with federal compliance standards, security requirements, and customer-specific needs.
  • Build and deliver Proof of Concepts (POCs) and Minimum Viable Products (MVPs) to validate technical approaches and demonstrate solution value in government environments.
  • Own end-to-end technical documentation, including architecture diagrams, technical specifications, integration guides, and deployment runbooks tailored for federal deployments.
  • Drive technical alignment across sales, engineering, and product teams throughout the solution lifecycle.
  • Guide solution implementation from initial design through deployment, ensuring smooth handoff to customer success and support teams.
  • Evaluate and integrate third-party tools, APIs, and platforms into customer solutions to meet functional, non-functional, and security requirements.
  • Contribute to internal knowledge bases, reference architectures, and reusable solution patterns for federal engagements.
What You'll Need to Be Successful
  • Active Top Secret security clearance (required)
  • Demonstrated experience in solution architecture, pre-sales engineering, or technical consulting with a track record of designing and delivering enterprise-grade systems for federal or defense customers.
  • Thorough understanding of cloud computing platforms (e.g., AWS GovCloud, Google Cloud, Azure Government) and cloud-native design patterns in government environments.
  • Strong proficiency in Python with experience building production-quality applications and automation.
  • Expert-level understanding of system integration patterns, including RESTful and GraphQL APIs, webhooks, and event-driven architectures.
  • Solid understanding of SQL and database operations (e.g., query optimization, schema design, transactions).
  • Ability to lead technical discussions and present complex architectures to both technical and non-technical audiences, including government stakeholders.
  • Baseline understanding of AI/ML concepts (e.g., ML workflows, data pipelines, NLP, or RAG) and data science engineering practices.
  • Experience with orchestration frameworks, LLMs, or knowledge retrieval systems.
  • Familiarity with MLOps practices, such as model versioning, deployment pipelines, experiment tracking, and model monitoring.
  • Experience with FedRAMP, FISMA, or other federal compliance frameworks.
  • Exposure to additional programming languages or technology stacks is a plus
  • Strong problem-solving skills with the ability to analyze ambiguous requirements and propose effective solutions.
  • Experience with Agile methodologies and DevOps/CI-CD practices.
  • Strong written and verbal communication skills, with an emphasis on technical documentation.
  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience).
$160,000 - $180,000 a year
Benefits for Full Time Employees: 
- Remote first organization
- 100% Company paid Health/Dental/Vision benefits for you and your dependents
- Life Insurance, Short-term and Long-term Disability
- 401k
- Unlimited PTO

We are interested in every qualified candidate who is authorized to work in the United States. However, we are not able to sponsor or take over sponsorship of employment visas at this time.

Pryon will not consider race, religion, sex, sexual preference, or national origin in ways that violate the Nation's civil rights laws.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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