Data Labeling Analyst Spanish Speakers (Speech & Voice AI)

Welo Data

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profile Job Location:

California, CA - USA

profile Monthly Salary: Not Disclosed
Posted on: 7 hours ago
Vacancies: 1 Vacancy

Job Summary

Overview

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. Youll 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.

Were looking for people who are dependable focused and take pride in producing high-quality work even across repetitive workflows.

Project Details

  • Job Title: Data Labeling Analyst
  • Hiring in: California (On-Site: San Francisco Sunnyvale or Burlingame)
  • Hours: Full-time 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
  • Pay Rate: $26 - $28/hour

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.

What Youll Do

  • Execute high-volume data labeling and annotation tasks across speech and voice datasets
  • Follow detailed guidelines to ensure consistency accuracy and data integrity at scale
  • Work with audio and language data including transcription categorization and tagging
  • Maintain strong throughput while meeting quality expectations
  • Escalate unclear or ambiguous cases appropriately
  • Adapt to evolving guidelines and workflows as systems and requirements change
  • Support baseline data production needs for AI training pipelines
  • Contribute to team calibrations and quality alignment sessions

What Were Looking For

  • Professional-level fluency in Spanish
  • Strong written communication skills and language fundamentals
  • 12 years of experience in data labeling annotation or content-focused work
  • 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
  • Basic familiarity with AI speech technology or language data is a plus

Benefits

  • Paid Sick Time & Paid Holiday (combined): 15 days
  • Paid Holidays: Memorial Day and Labor Day
  • 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.)

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

Why This Role

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.

Its 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.

OverviewWelo 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. Youll be working with audio speech and ...
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