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About the Role
Welo Data is seeking detail-oriented Data Labeling Analysts to support speech and voice AI systems. This role focuses on building datasets for real-world AI, working with audio, speech, and language data to ensure accurate model training. It requires strong judgment, attention to detail, and consistency, even in repetitive workflows.
Responsibilities
- Evaluate AI model outputs and provide structured, high-quality feedback
- Perform audit-based reviews of data and model behavior, identifying patterns, edge cases, and failure modes
- Apply guidelines thoughtfully and flag when they do not reflect real-world scenarios
- Contribute to improving evaluation frameworks
- Identify trends in model performance and communicate insights clearly
- Participate in team discussions, calibrations, and stakeholder syncs
- Partner with leads and cross-functional teams to refine quality standards
- Document findings in a clear, concise, and actionable way
Requirements
- Native-level fluency in Spanish (Spain)
- Strong written communication skills and language fundamentals
- 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
- 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
- Must be authorized to work in the U.S. (no visa sponsorship)
- 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
Skills
- Basic familiarity with AI, speech technology, or language data is a plus
Location
- Onsite (Bay Area, Seattle, NYC, or client-dependent)
Work Type
- Full-time
- 40 hours per week
- W2 Full-Time Employee
- 100% onsite
Experience Level
- 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
Education Level
- Bachelor's degree or equivalent academic qualification in a related field
Salary/Compensations
- $28/hour
Benefits
- Paid Vacation: 6 days
- Paid Company Holidays: 2 days (Memorial Day and Labor Day)
- Paid Sick Leave: accrued per applicable state law and company policy
- Medical, Dental, and Vision Insurance (eligibility applies)
- Health Savings Account (HSA)
- 401(k) Retirement Plan
- Employee Assistance Program
- Additional voluntary benefits (life, accident, critical illness, etc.)
- 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
About the Company
- 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.
- We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.