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.
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Job Title: Data Labeling Analyst
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Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
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Hours: Full-time, 40 hours per week
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Employment Type: W2 Full-Time Employee
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Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
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: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.
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Execute high-volume data labeling and annotation tasks across speech and voice datasets
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Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
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Work with audio and language data, including transcription, categorization, and tagging
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Maintain strong throughput while meeting quality expectations
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Escalate unclear or ambiguous cases appropriately
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Adapt to evolving guidelines and workflows as systems and requirements change
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Support baseline data production needs for AI training pipelines
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Contribute to team calibrations and quality alignment sessions
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Native-level fluency in French
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Strong written communication skills and language fundamentals
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1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor’s degree or equivalent academic qualification in a related field.
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Ability to follow detailed instructions and apply guidelines consistently
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High attention to detail and ability to maintain accuracy in repetitive tasks
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Comfort working in structured, process-driven environments
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Ability to manage time effectively and maintain steady output
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Willingness to ask questions and escalate when needed
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Basic familiarity with AI, speech technology, or language data is a plus
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Paid Company Holidays: 2 days (Memorial Day and Labor Day)
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Paid Sick Leave: accrued per applicable state law and company policy
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Medical, Dental, and Vision Insurance (eligibility applies)
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Health Savings Account (HSA)
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Employee Assistance Program
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Additional voluntary benefits (life, accident, critical illness, etc.)
Onsite Perks (where applicable): 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