German Data Labeling Analyst(Speech & Voice )

Welocalize; New York (NY); On-site; USD 54,000 - 58,000; Full time

Benefits offered by this job

Paid Vacation: 6 days

Medical, Dental, and Vision Insurance

401(k) Retirement Plan

Free breakfast, lunch, and dinner

Job summary

Welocalize is seeking a Data Labeling Analyst based in New York City to execute high-volume data labeling and annotation tasks for speech and voice AI systems. This onsite position emphasizes precision, allowing candidates to contribute to high-quality data production essential for training AI models.

Ideal candidates will possess native-level Croatian fluency, strong communication skills, and at least one year of relevant experience or a suitable degree. Benefits include paid vacation, medical insurance, and onsite perks such as free meals.

Qualifications

• 1 year of work 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.
• Maintain strong throughput while meeting quality expectations.
• Escalate unclear or ambiguous cases appropriately.

Skills

Native-level fluency in Croatian

Strong written communication skills

Attention to detail

Ability to follow detailed instructions

Education

Bachelor's degree or equivalent academic qualification

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: 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 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

• Native-level fluency in Croatian
• Strong written communication skills and language fundamentals
• 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field.
• 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 Vacation: 6 days
• Paid Company Holidays: 2 days (Memorial Day and Labor Day)
• Paid Sick Leave: accrued per applicable state law and company policy
• 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