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Simultaneous Translation Jobs in California (NOW HIRING)

Homeland Language Services

We offer interpretation and translation services in 100+ languages for different industries. We invite you to follow the link to Homeland Language Services website to discover more about our company.

eShocan

FCD Technical Translator/Interpreter

Gardena, CA · On-site

$22.50 - $29.50/hr

... translation job system Support updating the Powertrain terminology Support meetings between Japanese and English speakers with consecutive/simultaneous interpretation. Candidates will need to have ...

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Simultaneous Translation information

See California salary details

$27.1K

$56.5K

$86.4K

How much do simultaneous translation jobs pay per year?

As of Jul 16, 2026, the average yearly pay for simultaneous translation in California is $56,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,400.00 and $56,700.00 per year, depending on experience, location, and employer.

What are the most common challenges faced by simultaneous translators during live events, and how can they be managed?

Simultaneous translators often encounter challenges such as maintaining concentration for extended periods, handling fast-paced or technical speech, and minimizing delays in translation. To manage these, translators usually work in teams, rotating every 20–30 minutes to prevent fatigue. Preparation is crucial—reviewing event materials and glossaries in advance helps ensure accuracy. Additionally, using high-quality audio equipment and having direct communication with event organizers can help address issues quickly and maintain the flow of translation.

What is the difference between Simultaneous Translation vs Conference Interpreter?

AspectSimultaneous TranslationConference Interpreter
CredentialsLanguage proficiency, interpretation certificationLanguage proficiency, interpretation certification, often specialized training
Work EnvironmentConference rooms, live events, broadcast settingsConferences, diplomatic events, international meetings
Industry UsageMedia, government, international organizationsDiplomacy, international conferences, business summits

Simultaneous Translation and Conference Interpreter roles overlap in skills and settings, but simultaneous translation typically refers to real-time interpretation during broadcasts or events, while conference interpreters focus on live, in-person interpretation at conferences. Both require strong language skills and certification, but conference interpreters often have specialized training for in-person settings.

What are the key skills and qualifications needed to thrive as a Simultaneous Translator, and why are they important?

To excel as a Simultaneous Translator, you need advanced proficiency in at least two languages, strong listening and memory skills, and typically a degree or certification in translation or interpretation. Familiarity with interpretation equipment, computer-assisted translation tools, and sometimes industry-specific terminology databases is important. Outstanding concentration, quick decision-making, and cultural sensitivity set top performers apart. These skills ensure accurate, real-time communication and minimize misunderstandings in high-stakes, multilingual environments.

What is simultaneous translation?

Simultaneous translation, also known as simultaneous interpreting, is a process where an interpreter translates spoken language in real time as the speaker is talking. This requires the interpreter to listen to the original message and deliver the translation almost instantaneously, usually with only a few seconds' delay. It is commonly used in conferences, international summits, and live events where participants speak different languages. Simultaneous interpreters typically work in soundproof booths using headsets and microphones to ensure clear communication. This highly demanding skill requires excellent language proficiency, concentration, and the ability to think quickly under pressure.
What are the most commonly searched types of Simultaneous Translation jobs in California? The most popular types of Simultaneous Translation jobs in California are:
What are popular job titles related to Simultaneous Translation jobs in California? For Simultaneous Translation jobs in California, the most frequently searched job titles are:
What job categories do people searching Simultaneous Translation jobs in California look for? The top searched job categories for Simultaneous Translation jobs in California are:
Simultaneous Translation jobs near you
Infographic showing various Simultaneous Translation job openings in California as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $56,451 per year, or $27.1 per hour.

Research Engineer (Machine Translation)

Sanas

Palo Alto, CA • On-site

Full-time

Re-posted 12 days ago

Job description

Sanas is pioneering the future of human communication. Founded by a team of Stanford researchers and entrepreneurs with deep industry experience, Sanas has developed the world's first real-time speech AI platform capable of accent translation, noise cancellation, speech enhancement, cross-language communication, and more.
Sanas makes conversations clearer, more inclusive, and more effective, removing barriers that prevent people from being understood, regardless of accent, background noise, or native language.
Sanas is currently one of the fastest growing startups in Silicon Valley, growing from $16M to $50M ARR in 2025. The company's core business is profitable and is on track to end 2026 with >$120M ARR. Our team combines deep expertise in model innovation and systems engineering with a design-minded product engineering culture to build and ship cutting-edge AI models and experiences - entirely in-house.
Sanas is a 180-strong team, established in 2020. In this short span, we've successfully secured over $100 million in funding. Our innovation has been supported by the industry's leading investors, including Insight Partners, Google Ventures, Quadrille Capital, General Catalyst, Quiet Capital, and other influential investors. Our reputation is further solidified by collaborations with numerous Fortune 100 companies. With Sanas, you're not just adopting a product; you're investing in the future of communication.
If you're looking to have a significant role in roadmapping and driving technical directions, if you're looking to deploy challenging and big ideas without much overhead or slowness, if you're looking to leave your mark on an ambitious, generational mission to change how the worlds thinks about speech + AI, then Sanas is a well-suited place for you.
About the Role
Language Translation is one of Sanas's most exciting and fastest-growing product lines. We're looking for a Research Engineer who can both set technical direction and get deep in the modeling work - someone who owns translation quality end-to-end across language pairs and drives the fundamental research challenges unique to real-time simultaneous interpretation.
Job Description
Translation quality & modeling
  • Own and drive improvements to translation accuracy across Sanas's supported language pairs, with a focus on conversational, spoken-language domains.
  • Design, train, and evaluate neural MT models - from fine-tuning large multilingual models to building targeted components for low-resource or high-priority language pairs.
  • Develop and maintain rigorous evaluation pipelines using both automated metrics (BLEU, COMET, chrF) and human evaluation frameworks calibrated to real-world enterprise use cases.
  • Identify the highest-leverage research bets - data augmentation, domain adaptation, quality estimation, terminology consistency - and execute on them with measurable quality gains.

Simultaneous interpretation & delimiter modeling
  • Lead research and development of Sanas's delimiter model - the component that determines optimal segmentation points in streaming speech for real-time translation output.
  • Develop methods to handle speech disfluencies, sentence fragments, and incomplete utterances gracefully in a streaming translation pipeline.
  • Collaborate closely with the speech and inference engineering teams to ensure translation components meet strict real-time latency budgets in production.

Research direction & technical leadership
  • Define and maintain a research roadmap for MT and simultaneous interpretation, prioritizing work that moves production quality metrics.
  • Stay at the frontier of MT research - track and evaluate relevant work - and translate (haha) relevant advances into practical improvements at Sanas.
  • Mentor and technically guide other engineers working on translation-adjacent problems across the ML org.

Data & infrastructure
  • Identify, source, and curate training data for MT and delimiter modeling - including parallel corpora, synthetic data generation, and speech-aware augmentation strategies.
  • Instrument model quality monitoring in production to detect degradation across language pairs and trigger targeted retraining cycles.

Qualifications
  • 3+ years of experience in machine translation, NLP, or multilingual modeling research - with a track record of measurable quality improvements in production systems.
  • Deep familiarity with neural MT architectures: sequence-to-sequence models, Transformer variants, and large multilingual models.
  • Hands-on experience with simultaneous or streaming translation, including segmentation and low-latency decoding strategies.
  • Strong command of MT evaluation methodology - automated metrics, human evaluation design, and error analysis.
  • Proficiency in Python and deep learning frameworks (PyTorch preferred)
  • Demonstrated ability to set a research agenda, execute independently, and communicate findings clearly to technical and non-technical stakeholders.
  • Fluency in English plus working proficiency in at least one non-English language is a strong plus.

Bonus
  • Experience with speech translation (end-to-end or cascaded) and speech-aware MT pipelines.
  • Familiarity with on-device or edge-optimized model deployment for low-latency inference.
  • Prior work on low-resource language pairs, domain adaptation, or terminology-constrained translation.
  • Published research at ACL, EMNLP, NAACL, INTERSPEECH, or equivalent venues.

Apply