Description
OverviewWelo 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 DetailsJob Title: Data Labeling AnalystHours: 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/hourHiring Locations:California (On-Site: San Francisco, Sunnyvale, or Burlingame)New York City (On-Site)Washington State (On-Site: Redmond, Seattle, or Bellevue)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: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. 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 What We’re Looking ForProfessional-level fluency in German Strong written communication skills and language fundamentals1–2 years of experience in data labeling, annotation, or content-focused workAbility to follow detailed instructions and apply guidelines consistentlyHigh attention to detail and ability to maintain accuracy in repetitive tasksComfort working in structured, process-driven environmentsAbility to manage time effectively and maintain steady outputWillingness to ask questions and escalate when neededBasic familiarity with AI, speech technology, or language data is a plus BenefitsPaid Sick Time & Paid Holiday (combined): 15 daysPaid Holidays: Memorial Day and Labor DayMedical, 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 (where applicable):Free breakfast, lunch, and dinnerStocked micro-kitchens with snacks and beveragesCommuter benefits, including shuttles and bike-to-work optionsUnique campus features depending on locationWhy This RoleThis 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.
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