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Localization Project Manager Jobs in Seattle, WA

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Localization Project Manager information

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How much do localization project manager jobs pay per hour?

As of May 29, 2026, the average hourly pay for localization project manager 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 are the key skills and qualifications needed to thrive as a Localization Project Manager, and why are they important?

To thrive as a Localization Project Manager, you need strong project management skills, fluency in at least one foreign language, and knowledge of localization processes, often supported by a degree in linguistics, translation, or a related field. Familiarity with translation management systems (TMS), CAT tools, and quality assurance software is typically required. Excellent organizational, communication, and problem-solving abilities are crucial for coordinating teams and managing client expectations. These competencies ensure efficient project delivery, high-quality localized content, and successful cross-cultural communication.

What are some typical challenges a Localization Project Manager faces when coordinating multilingual projects?

A Localization Project Manager often encounters challenges such as managing tight deadlines across multiple time zones, ensuring consistent quality and terminology across languages, and aligning expectations between clients, translators, and internal teams. Communication is key, as the role requires bridging cultural and linguistic gaps while monitoring progress on several projects simultaneously. Effective use of localization tools, clear workflows, and strong collaboration skills are essential to overcoming these challenges and delivering projects on time and within budget.

What are Localization Project Managers?

Localization Project Managers are professionals responsible for overseeing the adaptation of products, content, or services to meet the language and cultural requirements of different markets. They coordinate teams of translators, editors, and technical specialists to ensure that localization projects are completed on time, within budget, and to the desired quality standards. Their role also involves managing project timelines, budgets, communication between stakeholders, and quality assurance processes throughout the localization lifecycle.

What is the difference between Localization Project Manager vs Localization Specialist?

AspectLocalization Project ManagerLocalization Specialist
CredentialsTypically requires project management experience, certifications like PMP, and knowledge of localization toolsRequires language proficiency, translation experience, and familiarity with localization software
Work EnvironmentManages multiple projects, coordinates teams, and oversees timelinesFocuses on translation, editing, and linguistic quality
Employer & Industry UsageUsed in global companies, localization agencies, and tech firmsCommon in translation agencies, in-house localization teams, and freelance work

The main difference is that a Localization Project Manager oversees the entire localization process, managing teams and timelines, while a Localization Specialist focuses on linguistic tasks like translation and editing. Both roles are essential in the localization industry but serve different functions.

What are the most commonly searched types of Localization Project jobs in Seattle, WA? The most popular types of Localization Project jobs in Seattle, WA are:
What are popular job titles related to Localization Project Manager jobs in Seattle, WA? For Localization Project Manager jobs in Seattle, WA, the most frequently searched job titles are:
What cities near Seattle, WA are hiring for Localization Project Manager jobs? Cities near Seattle, WA with the most Localization Project Manager job openings:
Infographic showing various Localization Project Manager job openings in Seattle, WA as of May 2026, with employment types broken down into 39% Full Time, 2% Part Time, 41% Temporary, 3% Contract, 13% Nights, and 2% Summer. Highlights an 20% Hybrid, and 80% Remote job distribution, with an average salary of $109,460 per year, or $52.6 per hour.
Project Perseus \u007C Speech & Voice AI Analyst - Spanish Speakers

Project Perseus \u007C Speech & Voice AI Analyst - Spanish Speakers

Welo Data

Seattle, WA

$26 - $28/hr

Full-time

Posted yesterday


Job description

Overview

Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.

This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.

While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.

We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.

Project Details
  • Job Title: Data Labeling Analyst
  • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent) 
  • Hours: Full-time, 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
  • Pay Rate: $26 - $28/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.
What You’ll Do
  • Execute high-volume data labeling and annotation tasks across speech and voice datasets
  • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
  • Work with audio and language data, including transcription, categorization, and tagging
  • Maintain strong throughput while meeting quality expectations
  • Escalate unclear or ambiguous cases appropriately
  • Adapt to evolving guidelines and workflows as systems and requirements change
  • Support baseline data production needs for AI training pipelines
  • Contribute to team calibrations and quality alignment sessions 
What We’re Looking For
  • Native-level fluency in Spanish 
  • Strong written communication skills and language fundamentals
  • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field.
  • Ability to follow detailed instructions and apply guidelines consistently
  • High attention to detail and ability to maintain accuracy in repetitive tasks
  • Comfort working in structured, process-driven environments
  • Ability to manage time effectively and maintain steady output
  • Willingness to ask questions and escalate when needed
  • Basic familiarity with AI, speech technology, or language data is a plus 
Benefits
  • Paid Vacation: 6 days
  • Paid Company Holidays: 2 days (Memorial Day and Labor Day)
  • Paid Sick Leave: accrued per applicable state law and company policy
  • Medical, Dental, and Vision Insurance (eligibility applies)
  • Health Savings Account (HSA)
  • 401(k) Retirement Plan
  • Employee Assistance Program
  • Additional voluntary benefits (life, accident, critical illness, etc.)
Onsite Perks (where applicable):
Free breakfast, lunch, and dinner
Stocked micro-kitchens with snacks and beverages
Commuter benefits, including shuttles and bike-to-work options
Unique campus features depending on location
Why This Role

This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users.

It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.


Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
 
To know more details (Click here)
 
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
 
 
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
 
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.