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Welocalize, Inc. is seeking Data Labeling Analysts to support speech and voice AI systems. This is a 100% onsite role in US cities such as NYC, Seattle, Bay Area, or client sites, working full-time to build high-quality labeled datasets.
You will evaluate model outputs, provide structured feedback, and follow detailed guidelines to ensure accuracy and consistency. Ideal candidates have native-level English (UK), strong written communication, and at least 1 year of data labeling experience or a
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