Spanish(Mexico) Data Labeler

Welo Data•Washington, USA, WA
•Onsite

About The Position

Welo Data is seeking detail-oriented and reliable individuals to join our team as Data Labeling Analysts. This role is crucial for supporting speech and voice AI systems by building the datasets that power real-world AI applications. You will work with audio, speech, and language data to ensure models are trained on accurate, well-structured, and representative inputs. While this position is execution-focused, it demands strong judgment, meticulous attention to detail, and consistency. The work involves the intersection of language, data, and AI systems, requiring precision and discipline at scale. We are looking for dependable, focused individuals who take pride in producing high-quality work, even within repetitive workflows.

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)
  • 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.

Nice To Haves

  • Basic familiarity with AI, speech technology, or language data is a plus

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 don’t reflect real-world scenarios
  • Contribute to improving evaluation frameworks, not just executing them
  • 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

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 (where applicable)
  • Stocked micro-kitchens with snacks and beverages (where applicable)
  • Commuter benefits, including shuttles and bike-to-work options (where applicable)
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