Speech & Voice AI Analyst - German Speakers

Welo Data

California (MO)

On-site

USD 52,000 - 58,000

Full time

14 days+
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Benefits offered by this job

Paid Sick Time & Paid Holiday (combined): 15 days
Medical, Dental, and Vision Insurance
Health Savings Account (HSA)
401(k) Retirement Plan
Free breakfast, lunch, and dinner
Stocked micro-kitchens with snacks and beverages
Commuter benefits

Job summary

Welo Data is seeking a Data Labeling Analyst in California. This full-time position involves executing data labeling for speech and voice AI systems, requiring strong judgment and attention to detail. Applicants must have professional-level fluency in German and 1-2 years of relevant experience. Benefits include health insurance, paid holidays, and on-site perks like meals and commuter options. This is a critical role in building AI systems, providing foundational experience in data operations.

Qualifications

  • 1–2 years of experience in data labeling, annotation, or content-focused work.
  • Comfort working in structured, process-driven environments.
  • Basic familiarity with AI, speech technology, or language data is a plus.

Responsibilities

  • Execute high-volume data labeling and annotation tasks across speech and voice datasets.
  • Follow detailed guidelines to ensure consistency, accuracy, and data integrity.
  • Maintain strong throughput while meeting quality expectations.

Skills

Professional-level fluency in German
Strong written communication skills
High attention to detail
Ability to follow detailed instructions

Job 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
  • 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 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 German
  • 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 escape 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.

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