Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Spanish(Mexico) Data Labeler role.
Rezi rewrites your resume against Welo Data's job description. Free.
Tailor your resume to this Spanish(Mexico) Data Labeler role.
Rezi rewrites your resume against Welo Data's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Spanish(Mexico) Data Labeler posting at Welo Data — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Spanish(Mexico) Data Labeler posting at Welo Data — free, in seconds.
About the Role
Welo Data is seeking detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This role focuses on building datasets for real-world AI systems by working with audio, speech, and language data, ensuring models are trained on accurate, well-structured, and representative inputs. The position requires strong judgment, attention to detail, and consistency, operating at the intersection of language, data, and AI systems.
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 (Mexico)
- 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
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 supports speech and voice AI systems.