Speech & Voice AI Analyst - Czech Speakers

Welo Data

New York (NY)

On-site

USD 54,000 - 58,000

Full time

14 days+
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Benefits offered by this job

Paid Sick Time & Holiday
Medical, Dental, and Vision Insurance
401(k) Retirement Plan
Free meals on site

Job summary

Welo Data is seeking Data Labeling Analysts to join their team in New York City. This full-time role involves working with audio, speech, and language data to support the development of AI systems. Candidates should possess native-level fluency in Czech, have 1-2 years of relevant experience, and be detail-oriented. Responsibilities include ensuring data accuracy and following structured guidelines. The position is onsite only, with multiple locations available including NYC, Seattle, and San Francisco, and offers comprehensive benefits including health insurance and paid time off.

Qualifications

  • 1-2 years of experience in data labeling, annotation, or content-focused work.
  • Ability to follow detailed instructions and apply guidelines consistently.
  • Basic familiarity with AI, speech technology, or language data is a plus.

Responsibilities

  • Support speech and voice AI systems by building datasets.
  • Ensure models are trained on accurate, well-structured, and representative inputs.
  • Work in structured, process-driven environments.

Skills

Native-level fluency in Czech
Strong written communication skills
High attention to detail
Time Management

Job description

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

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 We’re Looking For
  • Native-level fluency in Czech
  • 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
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