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Job offers found for English and 1 other languages

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Swedish Data Labeling Analyst (Speech & Voice AI)

California, Washington, NYC, United States

Mandatory
Easy apply

New
Spanish (Spain) Data Labeling Analyst (Speech & Voice AI)

California, Washington, NYC, United States

Mandatory
Easy apply

New
Portuguese (PT) Data Labeling Analyst (Speech & Voice AI)

California, Washington, NYC, United States

Mandatory
Easy apply

New
Polish Data Labeling Analyst (Speech & Voice AI)

California, Washington, NYC, United States

Mandatory
Easy apply

New
Italian Data Labeling Analyst (Speech & Voice AI)

California, Washington, NYC, United States

Mandatory
Easy apply

New
Hungarian Data Labeling Analyst (Speech & Voice AI)

California, Washington, NYC, United States

Mandatory
Easy apply

New
Greek Data Labeling Analyst (Speech & Voice AI)

California, Washington, NYC, United States

Mandatory
Easy apply

New
German Data Labeling Analyst (Speech & Voice AI)

California, Washington, NYC, United States

Mandatory
Easy apply

New
French Data Labeling Analyst (Speech & Voice AI)

California, Washington, NYC, United States

Mandatory
Easy apply

New
Finnish Data Labeling Analyst (Speech & Voice AI)

California, Washington, NYC, United States

Mandatory
Easy apply

New
Dutch Data Labeling Analyst (Speech & Voice AI)

California, Washington, NYC, United States

Mandatory
Easy apply

New
Danish Data Labeling Analyst (Speech & Voice AI)

California, Washington, NYC, United States

Mandatory
Easy apply

New
Czech Data Labeling Analyst (Speech & Voice AI)

California, Washington, NYC, United States

Mandatory
Easy apply

New
Croatian Data Labeling Analyst (Speech & Voice AI)

California, Washington, NYC, United States

Mandatory
Easy apply

Junior Content Reviewer with Swedish (based in Cracow)

Cracow, Poland

Mandatory
Easy apply

Norwegian AI Content Evaluator

Norway

Mandatory
Easy apply
Remote

Danish AI Content Evaluator

Denmark

Mandatory
Easy apply
Remote

Latvian AI Content Evaluator

Latvia

Mandatory
Easy apply
Remote

Finnish AI Content Evaluator

Finland

Mandatory
Easy apply
Remote

Czech AI Content Evaluator

Czech Republic

Mandatory
Easy apply
Remote
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Swedish Data Labeling Analyst (Speech & Voice AI)

California, Washington, NYC, United States

Mandatory
English
Swedish
Be one of the first to apply
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 Swedish 
  • 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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