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Job offers found for English and 1 other languages

137 job offers found

Job offers found for English and 1 other languages

137 job offers found

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Croatian Data Labeling Analyst (Speech & Voice AI)

California, Washington, NYC, United States

Mandatory
Easy apply

Czech Data Labeling Analyst (Speech & Voice AI)

California, Washington, NYC, United States

Mandatory
Easy apply

Danish Data Labeling Analyst (Speech & Voice AI)

California, Washington, NYC, United States

Mandatory
Easy apply

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Croatian Data Labeling Analyst (Speech & Voice AI)

California, Washington, NYC, United States

Mandatory
English
Croatian
DESCRIPTION
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
  • 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
Hiring Locations:
  • California (On-Site: San Francisco, Sunnyvale, or Burlingame)
  • New York City (On-Site)
  • Washington State (On-Site: Redmond, Seattle, or Bellevue)

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 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
  • Professional-level fluency in Croatian 
  • Strong written communication skills and language fundamentals
  • 1–2 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.

It’s 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.
SKILLS
Artificial Intelligence
Structures
Languages
Labelling

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