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Description
Project DetailsJob Title: Data Labeling AnalystHiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent) Hours: Full-time, 40 hours per weekEmployment Type: W2 Full-Time EmployeeWork Authorization: Must be authorized to work in the U.S. (no visa sponsorship)Pay Rate: $26 - $28/hourImportant: 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 DoExecute high-volume data labeling and annotation tasks across speech and voice datasetsFollow detailed guidelines to ensure consistency, accuracy, and data integrity at scaleWork with audio and language data, including transcription, categorization, and taggingMaintain strong throughput while meeting quality expectationsEscalate unclear or ambiguous cases appropriatelyAdapt to evolving guidelines and workflows as systems and requirements changeSupport baseline data production needs for AI training pipelinesContribute to team calibrations and quality alignment sessions
Requirements
What We’re Looking ForNative-level fluency in Greek Strong written communication skills and language fundamentals1 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
Offer
BenefitsPaid Vacation: 6 daysPaid Company Holidays: 2 days (Memorial Day and Labor Day)Paid Sick Leave: accrued per applicable state law and company policyMedical, Dental, and Vision Insurance (eligibility applies)Health Savings Account (HSA)401(k) Retirement PlanEmployee Assistance ProgramAdditional voluntary benefits (life, accident, critical illness, etc.)Onsite Perks:Free breakfast, lunch, and dinnerStocked micro-kitchens with snacks and beveragesCommuter benefits, including shuttles and bike-to-work optionsUnique campus features depending on location