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Computer Science Spanish Jobs in California (NOW HIRING)

Bachelor's degree in Computer Science, Engineering, or related field * Experience with Bash, Python, JavaScript, and database scripting (PostgreSQL preferred) * Spanish fluency (professional or ...

Additional expertise in high school subjects such as History, English, Spanish, Computer Science, or Economics is a plus. * Prior experience teaching the ACT/SAT, or a willingness to complete our ...

Additional expertise in high school subjects such as History, English, Spanish, Computer Science, or Economics is a plus. * Prior experience teaching the ACT/SAT, or a willingness to complete our ...

... Science in Computer Science, Electrical Engineering, Computer Engineering or equivalent from ... Spanish is a plus. Company : Procom is one of North America's leading staffing and contract ...

Lead Developer

San Diego, CA · Remote

$62.75 - $82/hr

Spanish/English bilingual is a plus* * BSc/MSc in Computer Science or relevant field This is a remote and full-time position. Pay rate is based on experience.

Credentialed Teacher

San Jose, CA · On-site

$26.25 - $33.20/hr

... computer science or technology to high school students. (Highly Preferred) ● Bilingual in English and Spanish. (Highly Preferred) ● Strong classroom management and culturally responsive teaching ...

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Computer Science Spanish information

See California salary details

$12

$24

$41

How much do computer science spanish jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for computer science spanish in California is $24.29, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $27.07 per hour, depending on experience, location, and employer.

What is a Computer Science Spanish professional?

A Computer Science Spanish professional is someone who combines expertise in computer science with proficiency in the Spanish language. They may work in roles such as software development, IT support, data analysis, or teaching, often focusing on Spanish-speaking markets or communities. These professionals can help bridge the gap between technology and Spanish-speaking users by localizing software, translating technical documentation, or teaching computer science concepts in Spanish. Their unique skill set is valuable in multinational companies, educational institutions, and organizations looking to expand into Spanish-speaking regions.

What are the key skills and qualifications needed to thrive as a Computer Science professional with Spanish language proficiency, and why are they important?

To thrive as a Computer Science professional with Spanish language skills, you need a strong background in programming, algorithms, data structures, and typically a degree in computer science or a related field. Familiarity with coding languages (such as Python, Java, or C++), software development tools, and possibly certifications like CompTIA, AWS, or Cisco are highly valued. Excellent communication, problem-solving, and the ability to collaborate in bilingual or multicultural teams are standout soft skills. These qualifications enable effective technical contributions and clear communication in diverse or Spanish-speaking environments, enhancing project success and collaboration.

How does being fluent in both Spanish and computer science benefit collaboration within multinational tech teams?

Fluency in Spanish and computer science allows you to bridge communication gaps between technical teams and stakeholders across Spanish-speaking regions. You can help translate complex technical concepts, contribute to software localization, and facilitate smoother project management with international partners. This skillset is highly valued in global companies, often leading to leadership roles or specialized positions focused on cross-cultural collaboration and market expansion.

What is the difference between Computer Science Spanish vs Software Developer?

AspectComputer Science SpanishSoftware Developer
Required CredentialsBachelor's in Computer Science, language proficiency in Spanish and technical skillsBachelor's in Computer Science or related field, coding certifications often preferred
Work EnvironmentEducational institutions, translation services, tech companies with multilingual teamsTech companies, startups, software firms, often in office or remote settings
Employer & Industry UsageEducational, translation, tech industries focusing on Spanish-speaking marketsSoftware development, IT, tech industry globally
Search & Comparison IntentUnderstanding bilingual technical roles, language-specific tech jobsTechnical coding roles, software creation, programming skills

Computer Science Spanish focuses on applying computer science knowledge within Spanish language contexts, often involving translation or bilingual education. Software Developer emphasizes coding, designing, and building software applications. While both roles require technical skills, Computer Science Spanish combines language expertise with tech, whereas Software Developer centers on programming and software creation.

What job categories do people searching Computer Science Spanish jobs in California look for? The top searched job categories for Computer Science Spanish jobs in California are:
What cities in California are hiring for Computer Science Spanish jobs? Cities in California with the most Computer Science Spanish job openings:

Research Scientist (post-training)

Genmo

San Francisco, CA • On-site

Full-time

Posted 27 days ago


Job description

We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation.

Role overview:

We are seeking an exceptional Research Scientist to join our team, focusing on alignment and post-training techniques for large-scale video generation models. In this role, you will be at the forefront of ensuring our diffusion-based video models reliably produce high-quality, physically accurate and safe outputs that match human preferences and values.

Key responsibilities:
  • Lead research initiatives in alignment and post-training methods for video generation models, focusing on improved quality, reliability, and adherence to human intent

  • Design and implement supervised fine-tuning and reinforcement learning from human feedback (RLHF) pipelines for video generation models

  • Develop robust evaluation frameworks to measure model alignment, safety, and output quality

  • Create and optimize data collection pipelines for human feedback and preferences

  • Design and conduct experiments to validate alignment techniques and their scaling properties

  • Collaborate with cross-functional teams to integrate alignment improvements into our production pipeline

  • Stay at the cutting edge of the field by regularly reviewing academic literature in both generative AI and alignment

  • Mentor junior researchers and foster a culture of responsible AI development

  • Work closely with product teams to ensure alignment methods enhance rather than inhibit model capabilities

Qualifications:
  • Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field

  • Must have:

    • Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR) with a focus on reinforcement learning, alignment, or generative models

    • Extensive experience implementing and optimizing large-scale training pipelines using PyTorch

    • Deep understanding of reinforcement learning techniques, particularly RLHF

    • Experience with distributed training systems and large-scale experiments

    • Proven track record in designing and implementing robust evaluation frameworks

    • Excellent communication skills with the ability to explain complex technical concepts to diverse audiences

    • Strong software engineering skills and experience with complex shared codebases

  • Ideal candidate will have:

    • Experience with diffusion models or other generative architectures

    • Background in fine-tuning large language models or generative models

    • Experience working with human feedback data collection and annotation pipelines

    • Strong aesthetic sense and understanding of video quality assessment

    • Familiarity with alignment techniques such as constitutional AI or debate

    • Track record of successful collaboration with product teams

    • Experience with perceptual quality metrics and human evaluation design

    • Contributions to open-source projects in AI alignment or generative AI

      Additional Information

    The role is based in the Bay Area (San Francisco). Candidates are expected to be located near the Bay Area or open to relocation.

Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.