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Welocalize

Portuguese (Portugal) Speech & Voice AI Analyst

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Recruitment began on May 13, 2026
and the job listing Expires on June 12, 2026
Full-Time
Apply Now

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. 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.

Project Details

  • Job Title: Data Labeling Analyst
  • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
  • 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

What You’ll 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 We’re Looking For

  • Native-level fluency in Portuguese (Portugal)
  • 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
  • Basic familiarity with AI, speech technology, or language data is a plus

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, Burlingame, Austin, Los Angeles, Chicago, Washington DC, Boston. Please only apply if you meet this location requirement.

Apply Now

Contact & Location

Email
success@uwyo.edu
Address

Peter M. and Paula Green Johnson Student Success Center
College of Business
Department 3275
1000 E. University Ave.
Laramie, WY 82071

Career Service Hours

M Monday 8:00 am- 5:00 pm
T Tuesday 8:00 am- 5:00 pm
W Wednesday 8:00 am- 5:00 pm
TH Thursday 8:00 am- 5:00 pm
F Friday 8:00 am- 5:00 pm

Meet the Team

Justine Tydings Meet Justine
Katie Carroll Meet Katie
Nicholas Jesse Meet Nicholas
Sena Krula Meet Sena
J.T. Cattelan Meet J.T.
Email
success@uwyo.edu
Address

Peter M. and Paula Green Johnson Student Success Center
College of Business
Department 3275
1000 E. University Ave.
Laramie, WY 82071

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