German Data Labeling Analyst at Welocalize

University of Delaware; New York, Seattle, San Francisco (NY, WA, CA); On-site; USD 35,817 - 38,572; Full time

Benefits offered by this job

Medical, Dental, and Vision Insurance

Health Savings Account (HSA)

401(k) Retirement Plan

Employee Assistance Program

Paid Vacation 6 days

Paid Company Holidays 2 days

Job summary

Welo Data is seeking a Data Labeling Analyst to join our onsite team supporting speech and language AI systems. You will perform high-volume labeling tasks with attention to detail and strict guidelines, ensuring accurate, well-structured datasets.

This 40-hour-per-week, full-time role requires native German, strong written communication, and at least 1 year of data labeling experience or a related degree. Onsite locations include NYC, Seattle, Bay Area, and other client sites.

Qualifications

• Native-level fluency in German.
• Strong written communication skills.
• 1 year of data labeling experience or a related degree.

Responsibilities

• Execute high-volume data labeling and annotation tasks across speech datasets.
• Follow detailed guidelines to ensure consistency, accuracy, and data integrity.
• Work with audio and language data, including transcription, categorization, and tagging.
• Maintain throughput while meeting quality expectations.
• Escalate unclear cases appropriately.
• Adapt to evolving guidelines and workflows.
• Contribute to team calibrations and quality alignment sessions.

Skills

German language proficiency

Strong written communication

1 year of data labeling experience

Education

Bachelor's degree or equivalent

Job description

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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.

• 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: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. 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
• Contribute to team calibrations and quality alignment sessions

What We’re Looking For

• Native-level fluency in German
• 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
• Ability to manage time effectively and maintain steady output
• Willingness to ask questions and escaletion when needed
• Basic familiarity with AI, speech technology, or language data is a plus
• 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