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Volunteer Localization Producer information

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$61.5K

$127K

How much do volunteer localization producer jobs pay per year?

As of May 30, 2026, the average yearly pay for volunteer localization producer in the United States is $123,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,000.00 and $126,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Volunteer Localization Producer, and why are they important?

To thrive as a Volunteer Localization Producer, you need strong project management skills, linguistic proficiency in target languages, and a solid understanding of localization processes, often supported by relevant experience or a background in translation or linguistics. Familiarity with CAT tools, translation management systems, and platforms like MemoQ or Smartling is typically required. Excellent communication, cultural sensitivity, and the ability to motivate and coordinate volunteer teams are crucial soft skills. These abilities ensure accurate, culturally relevant content and effective collaboration, which are essential for successful multilingual project delivery.

How does a Volunteer Localization Producer typically collaborate with international teams to ensure accurate and culturally appropriate translations?

Volunteer Localization Producers often coordinate closely with translators, cultural consultants, and project managers from various regions to ensure that content is both linguistically accurate and culturally relevant. This involves organizing regular meetings, providing clear guidelines, and reviewing feedback from local teams to address any issues or misunderstandings. Effective communication and strong organizational skills are essential, as the role requires balancing multiple projects and time zones while fostering a collaborative environment. By building strong relationships with international volunteers, a Localization Producer helps maintain high-quality standards across all localized materials.

What is a Volunteer Localization Producer?

A Volunteer Localization Producer is someone who coordinates and manages the process of adapting content—such as software, games, or documents—for different languages and cultures, typically on a voluntary basis. Their responsibilities may include organizing volunteer translators, setting project timelines, ensuring quality control, and facilitating communication between teams. This role is crucial in making content accessible and culturally appropriate for a global audience, especially in non-profit, open-source, or community-driven projects.

What is the difference between Volunteer Localization Producer vs Volunteer Content Coordinator?

AspectVolunteer Localization ProducerVolunteer Content Coordinator
Required SkillsLocalization tools, project management, language skillsContent management, communication, organization
Work EnvironmentRemote or on-site, collaborative with localization teamsRemote or on-site, coordinating content across teams
Industry UsageMedia, gaming, software localizationNonprofits, media, education

The Volunteer Localization Producer focuses on managing localization projects, ensuring content is accurately translated and adapted for different markets. In contrast, the Volunteer Content Coordinator handles overall content organization, scheduling, and communication across various projects. While both roles require strong organizational skills, the Localization Producer emphasizes language and localization expertise, making it distinct in scope and responsibilities.

More about Volunteer Localization Producer jobs
What cities are hiring for Volunteer Localization Producer jobs? Cities with the most Volunteer Localization Producer job openings:
What are the most commonly searched types of Localization Producer jobs? The most popular types of Localization Producer jobs are:
What states have the most Volunteer Localization Producer jobs? States with the most job openings for Volunteer Localization Producer jobs include:
What job categories do people searching Volunteer Localization Producer jobs look for? The top searched job categories for Volunteer Localization Producer jobs are:
Project Perseus \u007C Speech & Voice AI Analyst - Dutch Speakers

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

Welo Data

Burlingame, CA

$26 - $28/hr

Full-time

Posted 3 days ago


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 Dutch 
  • 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.