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: Washington State (On-Site: Redmond Seattle or Bellevue)
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 proficiency fluency in Portuguese (Portugal)
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)
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 ...
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: Washington State (On-Site: Redmond Seattle or Bellevue)
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 proficiency fluency in Portuguese (Portugal)
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)
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.