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Welo Data in the San Francisco Bay Area is seeking German-speaking Data Labeling Analysts for hands-on work supporting speech and voice AI systems.
This 40-hour-per-week, onsite role emphasizes accuracy, consistency, and detailed feedback on AI outputs. You will audit data, follow strict guidelines, and collaborate with cross-functional teams to improve evaluation processes.
Candidates must be located in or able to commute to multiple sites in the Bay Area or other listed cities.
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.
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, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement.
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