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Ai Localization Jobs in Seattle, WA (NOW HIRING)

Globalization Tech Lead

Bellevue, WA · On-site

$132K - $181K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Spearhead AI and Technology Integration: Research, evaluate, and implement cutting-edge localization technologies, including AI/LLM-based solutions and advanced TMS features, to improve the quality ...

Sr. GTM Engineer, Marketing

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Integrate AI agents and LLM APIs to power dynamic content generation, personalized experiences, SEO/GEO optimization workflows, and scalable localization-reimagining what's possible in digital ...

... localization and publishing workflows * Translate content and skilling requirements into clear functional user stories acceptance criteria and backlog items for AI authoring pipelines * Work closely ...

Partner with internationalization and localization teams to ensure taxonomy structures translate ... Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ...

Showing results 21-40

Ai Localization information

See Seattle, WA salary details

$24

$52

$86

How much do ai localization jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for ai localization in Seattle, WA is $52.62, according to ZipRecruiter salary data. Most workers in this role earn between $45.67 and $57.74 per hour, depending on experience, location, and employer.

What is AI localization?

AI localization refers to the process of adapting artificial intelligence systems, such as chatbots, voice assistants, or machine learning models, to work effectively in different languages, cultures, and regions. This involves translating content, adjusting for cultural nuances, and ensuring that the AI understands and responds appropriately to local contexts. AI localization helps make technology accessible and relevant to global audiences, improving user experience and engagement. It often requires a combination of linguistic expertise, technical knowledge, and cultural awareness.

What are the key skills and qualifications needed to thrive as an AI Localization specialist, and why are they important?

To thrive as an AI Localization Specialist, you need expertise in linguistics, translation, and a solid understanding of AI or machine learning concepts, often supported by a degree in languages, translation, or computer science. Proficiency with localization management systems, CAT tools, and familiarity with programming languages or AI platforms is highly beneficial. Strong attention to detail, cross-cultural communication, and problem-solving skills help ensure accurate and culturally appropriate translations. These skills are crucial for delivering localized AI products that resonate with global users and maintain technical accuracy.

How does an AI Localization specialist typically collaborate with engineering and product teams during a project?

AI Localization specialists often work closely with engineering and product teams to ensure that AI-driven products are accurately adapted for different languages and regions. This involves regular meetings to discuss project requirements, reviewing source content, and providing feedback on technical constraints that may impact localization. Close collaboration helps address challenges such as adapting user interfaces, maintaining context in translations, and ensuring cultural relevance. Effective communication and an understanding of both linguistic and technical aspects are key to delivering a high-quality localized product.

What is the easiest AI localization job to get into?

Entry-level AI localization roles often include language data annotation or transcription, which require basic language skills and attention to detail. These positions typically do not require advanced technical expertise and may offer flexible schedules, making them accessible for beginners in the field.
What are popular job titles related to Ai Localization jobs in Seattle, WA? For Ai Localization jobs in Seattle, WA, the most frequently searched job titles are:
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Infographic showing various Ai Localization job openings in Seattle, WA as of August 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 64% In-person, 4% Hybrid, and 32% Remote job distribution, with an average salary of $109,460 per year, or $52.6 per hour.

AI Automation Engineer, Content, Brand TEchnology and Applied AI

Amazon

Seattle, WA

Full-time

Re-posted 19 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,082 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

What if you could shape how AI agents and marketers work side by side to create, manage, and deliver content on a global scale. AWS Marketing is shifting from tool-assisted to AI-native, and it won't happen from a product silo. It happens when someone embeds directly with the teams doing the work, sees how content actually moves through the system, and rebuilds it with AI from the inside out.


We are looking for a Senior Forward Deployed Engineer to embed directly with Product Managers and marketing teams across AWS. You'll turn their highest-friction workflows into AI-first systems where AI agents can reinvent how work gets done. Your role: figure out what the future-state workflow needs to look like, design how agents and humans collaborate within it, wire the systems together, and drive the effort from prototype to production.

You are the connective tissue between what's possible and what actually ships.
The work spans the full content lifecycle - web publishing, creative production, localization, brand operations. One week you may be wiring an agent into a creative workflow, the next redesigning how global content flows across AWS properties through AI-enabled translations, the next prototyping a system that turns a brief into a publishable asset with a human in the loop at exactly the right moments.


This is not a traditional role. You put working software in people's hands to validate ideas in hours, not weeks. You are comfortable with MCPs, orchestration frameworks, and tool integrations, and you have the product judgment to know what's worth scaling versus what's just technically interesting.

In a world where everyone can build with AI, you bring great taste: the ability to distinguish great from good through deep customer empathy, structured problem framing, and relentless focus on adoption as the finish line.
60% building, 40% leading. You'll have executive sponsorship and engineering partners to scale what works.

Your prototypes won't die in a backlog; they'll become platform investments that serve hundreds of marketers and touch millions of customer-facing assets.
Key job responsibilities
Build to learn. Take identified opportunities and turn them into working prototypes using model APIs, agent frameworks, and lightweight code.

Compress the distance from idea to conviction.
Design the human-agent experience. Define where humans stay in the loop, at which steps, and with what controls.

Shape how marketers discover and interact with agents, and how agents collaborate with each other through protocols, context passing, and trust signals.
Turn validated prototypes into production architectures. Partner with engineering to move from "this works" to "this ships".

Defining the technical path, integration points, and data contracts that make a prototype durable.
Own agent quality in production. Define evaluation frameworks, set quality thresholds, monitor drift after model or data changes, and drive continuous improvement based on real usage.


Build the scaffolding that accelerates the team. Create reusable patterns, agent templates, integration blueprints, and reference architectures that make PMs and engineers faster at shipping AI-native workflows.
Evangelize what's possible.

Run workshops and provocations that help stakeholders experience the future through working artifacts, not decks. Turn skeptics into co-owners by putting working software in their hands.
About the team
The Content, Brand Technology and Applied AI team builds the foundational technology that powers content creation, management, and distribution for AWS Marketing.

We are at the forefront of integrating AI and agentic orchestration into marketing workflows, working across content generation, asset management, content health, localization, and channel distribution. Our systems serve hundreds of marketers and touch millions of customer-facing content assets across aws.amazon.com.
We move fast, we build with taste, and we measure success not by what ships but by what gets adopted and loved

We believe the best way to shape the future is to build it, validate it, and put it in people's hands.
This is a unique opportunity to shape the AI-powered future of content technology at AWS Marketing. You will work at the intersection of AI, content management, and marketing technology, with significant ownership to define the design technology practice from the ground up and drive outcomes felt across the organization.


Relevant Leadership Principles: Think Big, Invent and Simplify, Bias for Action, Earn Trust.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US