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Language Technology Jobs (NOW HIRING)

... DeepL's Language AI platform for human-like translation, improved writing and real-time voice ... This might be because of our technology that helps millions of people and businesses communicate ...

Preferred : โ€ข Deep understanding of ReactJS or Spring Boot. โ€ข Proficiency in more than one modern programming language/technology. โ€ข Experience working on streaming data applications (e.g.

Sous Chef

Denver, CO

$70K - $75K/yr

Continuing Education Reimbursement Program for courses including wine, language, technology and other * Quarterly Stipend for Cell Phone and Professional Clothing Purchases * New Parent Bonus

Sous Chef

New York, NY

$70K - $80K/yr

Continuing Education Reimbursement Program for courses including wine, language, technology and other * Quarterly Stipend for Cell Phone and Professional Clothing Purchases * New Parent Bonus

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Language Technology information

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$35K

$63.4K

$111.5K

How much do language technology jobs pay per year?

As of Jul 5, 2026, the average yearly pay for language technology in the United States is $63,364.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,500.00 and $71,000.00 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.

More about Language Technology jobs
What cities are hiring for Language Technology jobs? Cities with the most Language Technology job openings:
What are the most commonly searched types of Language Technology jobs? The most popular types of Language Technology jobs are:
What states have the most Language Technology jobs? States with the most job openings for Language Technology jobs include:
Infographic showing various Language Technology job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 74% Full Time, 19% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $63,364 per year, or $30.5 per hour.

Solution Architect - Language/Translation

DeepL

New York, NY โ€ข On-site

$194K - $240K/yr

Full-time

PTO

Posted 27 days ago


Job description

Meet DeepL
DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human-like translation, improved writing and real-time voice translation.
Founded in 2017 by CEO Jaroslaw "Jarek" Kutylowski, DeepL now has around 1,000 passionate employees and is supported by world-renowned investors including Benchmark, IVP, and Index Ventures.
Our goal is to become the global leader in trusted, intelligent AI technology, building products that drive better communication, foster connections, and create a meaningful impact. To achieve this, we need talented people like you to join our journey. If you're ready to shape the future of AI and grow your career in a fast-moving, purpose-driven environment, DeepL is your next destination.
What sets us apart
What sets us apart is our blend of cutting-edge AI technology, meaningful work, and a culture where people truly thrive. We're a team of innovators, researchers, and creators driven by a shared purpose to unlock human potential by making work simpler, smarter, and more connected.
When we share what it's like to work at DeepL, the reactions are overwhelmingly positive. This might be because of our technology that helps millions of people and businesses communicate and work better every day, or because of the trust, curiosity, and care that shape our culture.
What we know for sure is this: being part of DeepL means joining a team dedicated to innovation, growth, and well-being. Discover more about life at DeepL onLinkedIn,Instagram, and our Blog.
Meet the team behind this journey
DeepL is moving beyond being seen as a best-in-class translation engine. We are building toward an AI-first, end-to-end translation platform - and this role exists to lead that technical narrative with enterprise customers as it spans language, process, and technology.
As a Solution Architect on our global solution consulting team, you'll sit at the intersection of enterprise translation strategy, localisation technology, and complex deal execution. You'll shape how DeepL is positioned with respect to language and/or translation service providers, design future language AI workflows, and help build the playbooks that scale what works across the broader GTM team.
You understand modern AI stacks and language customization and localization as a whole - governance, glossary management, QA workflows, post-editing - and can navigate a conversation between a Localization Manager and a Head of Engineering without losing either.
Your responsibilities
- Get Inside the Customer's World
- Engage confidently with localization program managers, language operations leads, IT architects, and procurement stakeholders. Understand their content volumes, language pairs, translation management system setup, language service provider relationships, and where their current stack is failing them. Translate that into a clear picture of where DeepL creates the most impact.
- Map the Workflow Transformation
- Create the before-and-after. Map a customer's current manual-heavy processes and fragmented localization state against a DeepL-centric future - demonstrating how processes gets streamlined and deliver efficiency and productivity gains to the business overall
- Lead Technical Validation
- Design and run high-impact POCs and architecture reviews that prove translation quality, integration feasibility, and operational efficiency. Speak authoritatively on security posture, compliance architecture, and governance to risk-averse IT and procurement audiences.
- Shape the Practice and the Product
- Establish and refine playbooks - discovery frameworks, architecture templates, ROI models, and automation recipes - that elevate the broader GTM team. Feed structured field insight back to Product and Engineering and turn customer challenges into roadmap influence.
Qualities we look for
- 7-10+ years in Solution Architecture, Solution Consulting, or Technical Pre-Sales - ideally within language technology, or localization or enterprise SaaS or system integrator environment.MC
- Strong familiarity with the modern AI and localization stacks - MCP, CLI, Claude code, TMS, Machine translation API integration patterns, Translation Memory and Glossary workflows, CMS integrations, and REST/webhook API architecture. You don't need to have built all of these but you need to know how they fit together and where they break.
- A workflow transformation mindset - you think in before-and-after states, can map a complex enterprise content pipeline, and know how to make the case for changing something an organization has relied on for years.
- Solid understanding of the LSP model - how language service providers operate, buy, and resell MT technology.
- Security and compliance fluency - comfortable discussing data residency, security posture, and governance frameworks with IT and legal audiences in regulated industries.
- Strong enterprise instincts - you've navigated localization program managers, IT architects, and C-level buyers in the same deal. You can simplify complexity and make a platform transformation feel achievable.
- Fluency in English mandatory; additional language proficiency (German, French, Spanish, Italian, or Japanese) strongly preferred given our customer base.
What we offer
  • Diverse and internationally distributed team: joining our team means becoming part of a large, global community with people of more than 90 nationalities. We're more than just colleagues; we're a group of professionals with a shared mission to connect diverse cultures. Our global presence is growing-we've doubled in size nearly every year, with our employees based in the UK, Germany, the Netherlands, Poland, the US, and Japan, and we continue to expand our network.
  • Open communication, regular feedback: as a language-focused company, we value the importance of clear, honest communication. We value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and growth mindset makes us better together.
  • Hybrid work, flexible hours: we offer a hybrid work schedule, with team members coming into the office twice a week. This allows you to engage directly with your team and experience the unique energy of our workspace, while still enjoying the flexibility and comfort of working from home. With flexible working hours and trust in your productivity, we are in sync with your team's general locations and time zones to foster effective and seamless collaboration.
  • Virtual Shares - An ownership mindset in every role. We believe everyone should share in our success, and that's why every employee receives Virtual Shares, linking your contribution directly to DeepL's growth and rewarding you with a stake in our future.
  • Regular in-person team events: we bond over vibrant events that are as unique as our team, from local team and business unit gatherings, to new-joiner onboardings, to company-wide events that bring us all together-literally.
  • Monthly full-day hacking sessions: every month, we have Hack Fridays, where you can spend your time diving into a project you're passionate about and get the opportunity to work with other teams-we value your initiatives, impact, and creativity.
  • 30 days of annual leave: we value your peace of mind. With 30 days off (excluding public holidays) and access to mental health resources, we make sure you're as strong mentally as you are professionally.
  • Competitive benefits: just as our team spans the globe, so does our benefits package. We've crafted it to reflect the diversity of our team and tailored it to align with your unique location, to ensure you feel supported every step of the way.

#LI-TB1
We are an equal opportunity employer
You are welcome at DeepL for who you are - we appreciate authenticity here. Our product is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all succeed, contribute, and think forward! So bring us your personal experience, your perspectives, and your background. It's in our diversity that we will find the power to break down language barriers in the world.