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About the Role

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. The work sits at the intersection of language, data, and AI systems, where precision and discipline matter at scale. This role is a critical part of how modern AI systems are built, and the data produced 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.

Responsibilities

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

Requirements

Native-level fluency in Arabic
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
Must be authorized to work in the U.S. (no visa sponsorship)
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, Los Angeles, Washington DC, Boston.
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.
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.
Anti-fraud checks are employed to ensure all candidates meet the requirements of the program.

Skills

Data Labeling
Annotation
Speech Data
Voice Data
Language Data
Transcription
Categorization
Tagging
AI
Speech Technology

Location

Onsite (Bay Area, Seattle, NYC, or client-dependent)
NYC
Seattle
Bellevue
Redmond
San Francisco
Sunnyvale
Burlingame
Los Angeles
Washington DC
Boston

Work Type

Full-time
Onsite

Experience Level

1 year of work experience in data labeling, annotation, or content-focused work

Education Level

Bachelor's degree or equivalent academic qualification in a related field

Salary/Compensations

$28/hour

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

About the Company

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

Equal Opportunity

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.