Data Labeling Analyst - German Speakers (Speech & Voice AI)

Welo 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.

• Job Title: Data Labeling Analyst
• Hiring in: California (On-Site: San Francisco, Sunnyvale, or Burlingame)
• Hours: Full-time, 40 hours per week
• Employment Type: W2 Full-Time Employee
• Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
• Pay Rate: $26 - $28/hour

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.

• →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 

• Professional-level fluency in German 
• 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
• Basic familiarity with AI, speech technology, or language data is a plus 

This 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.