Data Labeling Analyst - Dutch Speakers (Speech & Voice AI)
About The Position
Welo Data is seeking detail-oriented and reliable individuals for the role of Data Labeling Analyst, focusing on supporting speech and voice AI systems. This is a production-focused role responsible for creating datasets essential for real-world AI systems. The work involves handling audio, speech, and language data to ensure AI models are trained with accurate, well-structured, and representative inputs. While the role is execution-oriented, it demands strong judgment, meticulous attention to detail, and consistent performance. The position operates at the intersection of language, data, and AI, requiring precision and discipline for large-scale operations. Ideal candidates are dependable, focused, and take pride in delivering high-quality work, even in repetitive tasks.
Requirements
- Professional-level fluency in Dutch
- Strong written communication skills and language fundamentals
- 1–2 years of experience in data labeling, annotation, or content-focused work
- 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
- Must be authorized to work in the U.S. (no visa sponsorship)
- 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.
Nice To Haves
- Basic familiarity with AI, speech technology, or language data is a plus
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
Benefits
- Paid Sick Time & Paid Holiday (combined): 15 days
- Paid Holidays: Memorial Day and Labor Day
- 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 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
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees
