Stand out for this role — generate a tailored resume and cover letter in about a minute.
Welo Data is seeking a Data Labeling Analyst to support speech and voice AI systems in New York City. This full-time role involves labeling audio and language data to ensure models are trained accurately. With an emphasis on attention to detail and effective communication, candidates must have professional-level fluency in Dutch and experience in data-focused roles.
Benefits include medical insurance, paid sick time, and complimentary onsite meals. Join us to contribute to the foundational elements of modern AI systems!
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.
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.
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.