Data Labeling Analyst - Danish Speakers (Speech & Voice AI)
About The Position
Welo Data is seeking 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.
Requirements
- Professional-level fluency in Danish
- 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
