ZipRecruiter

Log In

1

Localization Associate Jobs in Washington, DC (NOW HIRING)

next page

Showing results 1-20

People also search for

All JobsLocalization Associate JobsLocalization Associate Jobs in Washington, DC

Localization Associate information

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

To thrive as a Localization Associate, you need proficiency in at least two languages, strong attention to detail, and a background in translation, linguistics, or a related field. Familiarity with CAT tools (computer-assisted translation), translation management systems, and QA software is typically expected. Exceptional organizational skills, cultural sensitivity, and effective communication set outstanding candidates apart. These skills ensure accurate, culturally relevant translations and efficient project delivery in a global business environment.

How does a Localization Associate typically collaborate with product and development teams during a project?

A Localization Associate works closely with product managers, developers, and designers to ensure that translated content fits seamlessly into the product experience. This often involves attending project meetings, clarifying context for translators, and providing feedback on how language choices may affect usability or cultural relevance. Regular communication with cross-functional teams is key to resolving issues quickly, maintaining consistent terminology, and ensuring deadlines are met. This collaborative environment helps ensure that localized content maintains the intent and quality of the original material.

What are Localization Associates?

Localization Associates are professionals who help adapt content, products, or services for different languages and cultures. They work to ensure that translations are accurate, culturally appropriate, and consistent with the brand’s voice. Their tasks often include coordinating with translators, reviewing translated materials, and managing localization projects. Localization Associates play a vital role in helping organizations reach global audiences effectively.

What is the difference between Localization Associate vs Localization Specialist?

AspectLocalization AssociateLocalization Specialist
Required CredentialsTypically a bachelor's degree in linguistics, translation, or related fieldSimilar educational background, often with additional certifications in translation or localization tools
Work EnvironmentCorporate or agency settings, supporting localization projectsMore specialized roles within localization teams, often handling complex projects
Employer & Industry UsageUsed across tech, gaming, e-commerce, and media companiesCommon in similar industries, often with more technical or linguistic focus
Search & Comparison IntentPeople comparing entry-level localization rolesIndividuals seeking more advanced or specialized localization roles

The main difference between a Localization Associate and a Localization Specialist lies in experience and scope. Localization Associates typically handle supporting tasks within localization projects, while Localization Specialists often take on more complex, technical, or linguistic responsibilities. Both roles require similar educational backgrounds and are found in similar industries, but the Specialist role usually demands more expertise and experience.

What are the most commonly searched types of Localization jobs in Washington, DC? The most popular types of Localization jobs in Washington, DC are:
What are popular job titles related to Localization Associate jobs in Washington, DC? For Localization Associate jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Localization Associate jobs in Washington, DC look for? The top searched job categories for Localization Associate jobs in Washington, DC are:
Localization Associate jobs near you
Project Perseus \u007C Data Quality Analyst - Hindi Speakers (Human-in-the-Loop AI)

Project Perseus \u007C Data Quality Analyst - Hindi Speakers (Human-in-the-Loop AI)

Welo Data

Washington, DC

$38/hr

Full-time

Posted 4 days ago

Job description

Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right.

You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output.

Project Details

  • Job Title: Data Quality Analyst
  • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston
  • 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: $38/hour
  • Contract Duration: 1-year contract with possibility of extension

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
  • Support quality and execution across DLA teams, ensuring work meets defined standards at scale
  • Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency
  • Act as the first line of support for DLAs — answering questions and helping interpret guidelines
  • Help DLAs navigate ambiguity and apply evolving instructions effectively
  • Support onboarding and training of new DLAs through hands-on guidance and coaching
  • Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads
  • Identify patterns, recurring issues, and edge cases in both human and model outputs
  • Participate in calibrations, team discussions, and stakeholder syncs
  • Contribute to improving guidelines, processes, and overall team performance
  • Document findings and feedback in a clear, concise, and actionable way
What We’re Looking For
  • Native-level language proficiency and a university degree (Bachelor’s or higher).
  • B2 or superior level of English.  
  • 2–4 years of experience in data annotation, content quality, QA, or related fields
  • Strong ability to interpret and apply complex guidelines with consistency
  • Excellent attention to detail with a high bar for quality
  • Ability to stay consistent while working with evolving guidelines and priorities
  • Experience in AI/ML data workflows or human-in-the-loop evaluation environments
  • Prior experience auditing or reviewing the work of others
  • Familiarity with safety, compliance, or policy-driven content evaluation
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.)
  • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
  • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
  • Unique Campus Features: Some locations include roof-top nature parks
  • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
Why This Role

This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

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.